Multibeam collection for VANC03MV: Multibeam data collected aboard Melville from 2002-10-12 to 2002-10-30, departing from Puerto Caldera, Costa Rica and returning to Arica, Chile
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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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/
Oceanographic station data from bottle casts from the MENDOTA from Ocean Weather Station D (OWS-D) in the North Atlantic Ocean from Ocean Weather Station D (OWS-D) in the North Atlantic Ocean from 21 December 1971 to 31 December 1971 (NODC Accession 72005
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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Oceanographic station data were collected from the MENDOTA within a 1-mile radius of Ocean Weather Station D (4400N 4100W) and in transit. Data were collected by the United States Coast Guard (USCG) from 21 December 1971 to 31 December 1971. 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 Aeronautics and Space Administration
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The OCKO has developed over 50 case studies to enhance learning at workshops, training, retreats and conferences. Case studies make mission knowledge attractive and engaging by involving people in the decision making process.
Multibeam collection for CV09_UCC_GAEL: Multibeam data collected aboard Celtic Voyager from 2009-09-28 to 2009-10-09, departing from Howth, Ireland and returning to Howth, Ireland
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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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/
GREECE -- Ground-to-Rocket Electrodynamics-Electrons Correlative Experiment: High resolution rocket and ground-based investigations of small-scale auroral structure and dynamics Project
Vydavatel National Aeronautics and Space Administration
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<p> <strong>Methodology </strong>The methodology is based on making comparisons between downward electron flux, DC electric fields, electromagnetic waves, and auroral morphology. The proposed project will launch a rocket from Poker Flat over Fort Yukon to an apogee of 200-300 km when arc or arcs are present that has optical shear-flows present. Data from downgoing electron fluxes over a large energy range, electron density (Langmuir probe), electric and magnetic fields from the in-situ rocket payload and images from all-sky and narrow field cameras at Poker Flat and Fort Yukon will be produced and analyzed. All instrumentation is selected so that high temporal resolution can be achieved. &nbsp;</p>
Vydavatel National Aeronautics and Space Administration
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This data set reports the results of chemical analyses of rainfall, throughfall, litter leachate, and soil water samples collected before, during, and after a rainfall exclusion experiment conducted at the km 67 Seca Floresta site, Tapajos National Forest, Brazil. Samples were collected every two weeks from May 17, 1999 through May 10, 2006. Measurements included alkalinity, conductivity, pH, and selected anions and cations analyzed by ion chromatography.The exclusion treatment, began in late January 2000 and continued through December 2004, involved diverting about 60% of throughfall (equivalent to approximately half the rainfall) from a 1-hectare plot using plastic panels installed in the understory. The comparable 1-hectare control plot was unaltered. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad et al., 2002 and Nepstad et al., 2007). There are five comma-delimited data files with this data set.
Vydavatel U.S. Geological Survey, Department of the Interior
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This part of SIM 3281 presents data for the seafloor-character map (see sheet 5, SIM 3281) of the Offshore of Santa Barbara map area, California. The raster data file is included in "SeafloorCharacter_OffshoreSantaBarbara.zip," which is accessible from http://pubs.usgs.gov/ds/781/OffshoreSantaBarbara/data_catalog_OffshoreSantaBarbara.html. This raster-format seafloor-character map shows six substrate classes of the Offshore of Santa Barbara map area. The six substrate classes mapped in this area have been colored to indicate which of the following California Marine Life Protection Act depth zones and slope classes they belong: Depth Zone 2 (intertidal to 30 m), Depth Zone 3 (30 to 100 m), and Slope Class 1, 0 degrees to 5 degrees (flat). Depth Zone 1 (intertidal), Depth Zones 4 and 5 (greater than 100 m), and Slope Classes 2 to 4, greater than 5 degrees (sloping to vertical) are not present in this map area. The map is created using a supervised classification method described by Cochrane (2008), available at http://doc.nprb.org/web/research/research%20pubs/615_habitat_mapping_workshop/Individual%20Chapters%20High-Res/Ch13%20Cochrane.pdf. References Cited: California Department of Fish and Game, 2008, California Marine Life Protection Act master plan for marine protected areas--Revised draft: California Department of Fish and Game, accessed April 5 2011, at http://www.dfg.ca.gov/mlpa/masterplan.asp. Cochrane, G.R., 2008, Video-supervised classification of sonar data for mapping seafloor habitat, in Reynolds, J.R., and Greene, H.G., eds., Marine habitat mapping technology for Alaska: Fairbanks, University of Alaska, Alaska Sea Grant College Program, p. 185-194, accessed April 5, 2011, at http://doc.nprb.org/web/research/research%20pubs/615_habitat_mapping_workshop/Individual%20Chapters%20High-Res/Ch13%20Cochrane.pdf. Sappington, J.M., Longshore, K.M., and Thompson, D.B., 2007, Quantifying landscape ruggedness for animal habitat analysis--A case study using bighorn sheep in the Mojave Desert: Journal of Wildlife Management, v. 71, p. 1,419-1,426.
Vydavatel US Fish and Wildlife Service, Department of the Interior
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This is an infrared aerial photograph of South San Francisco Bay.
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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2002 Sediment Grab Data for Catlett and Goodwin Islands on the York River, Chesapeake Bay, Virginia (Ches_2002sedgrabs)
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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This data set represents the sediment grain size gathered from grab sampling in 2002 (56 stations).In Fall/Winter 2002, researchers from the Virginia Institute of Marine Science (VIMS) and the NOAA Office for Coastal Management conducted a project to map benthic habitats by Catlett and Goodwin Islands on the York River, Chesapeake Bay, Virginia. Sediment grab samples were collected at 56 stations and sediment profile images were collected at 200 stations. Sampling areas were also surveyed using side scan sonar and multibeam bathymetry sensors. Scientists from the Virginia Institute of Marine Sciences returned to sample a subset of the 2002 sediment grab data in 2003 and then again in 2004. A subset of SPI stations (79) were revisited in 2004.
Vydavatel US Fish and Wildlife Service, Department of the Interior
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The wildlife censuses will enable Yazoo National Wildlife Refuge Complex staff to determine how successful ongoing management programs are in relation to the various wildlife species. They will also help the new Interpretation and Recreation Program by providing information on what species are using the refuge, as well as how many and where they are present. Wildlife census policies are discussed, as well as census units and census procedures. Study area maps are attached.
Vydavatel US Fish and Wildlife Service, Department of the Interior
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This SeaLevel Affecting Marshes Model SLAMM report presents a model for projecting the effects of sealevel rise on coastal marshes and related habitats on J.N. Ding Darling NWR. This SeaLevel Affecting Marshes Model SLAMM report presents a model for projecting the effects of sealevel rise on coastal marshes and related habitats on J.N. Ding Darling NWR. The model is spatially explicit, using GIS technology to produce maps and tables that summarize the projected effects. The SLAMM simulations include five primary processes that affect wetland fate under different scenarios of sealevel rise including: inundation, erosion, overwash, saturation, and accretion.
Vydavatel US Fish and Wildlife Service, Department of the Interior
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Many factors are cited in the decline of freshwater mussel Family Unionidae populations in North America and for the listing of greater than 70 of native unionid species as endangered, threatened, or of special concern. There were four objectives for this investigation: 1 Assess the acute toxicity of chlorine, ammonia and copper three common pollutants to early life stages glochidia and juvenile of freshwater mussels and assess the chronic toxicity of chlorine, copper and, if possible, ammonia to one of the species used in the acute toxicity assessments. Test organisms included endangered and nonendangered mussel species from the central and eastern United States; 2 Document instream water quality conditions particularly for copper, ammonia and chlorine in habitats for these species; 3 Employ captive propagation to supply test organisms and elucidate various lifehistory and culture attributes fish hosts, culture methods, rearing methods, etc.; and 4 Evaluate the scientific validity of acute toxicity assessments using mussel glochidia and refine methodologies for conducting acute and chronic toxicity tests with juvenile mussels. Results of this investigation indicate that mussels are generally sensitive to ammonia and copper.
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.
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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Standard suite of multibeam survey mapping products generated by the Okeanos Explorer seafloor mapping team on data collected on NOAA Ship Okeanos Explorer during EX1202L3: Gulf of Mexico Exploration between 20120411 and 20120429
Partial pressure (or fugacity) of carbon dioxide, salinity and SEA SURFACE TEMPERATURE collected from underway - surface observations using Carbon dioxide (CO2) gas analyzer, Shower head chamber equilibrator for autonomous carbon dioxide (CO2) measurement
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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NODC Accession 0083189 includes chemical, physical and underway - surface data collected from NATHANIEL B. PALMER in the Arctic Ocean, Beaufort Sea, Bering Sea, Indian Ocean, Monterey Bay National Marine Sanctuary, North Pacific Ocean, South Atlantic Ocean, South Pacific Ocean and Tasman Sea from 1994-11-04 to 2012-08-31 and retrieved during cruise R/V Nathaniel B. Palmer Lines. These data include Partial pressure (or fugacity) of carbon dioxide, SALINITY and SEA SURFACE TEMPERATURE. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer and Shower head chamber equilibrator for autonomous carbon dioxide (CO2) measurement. These data were collected by Taro Takahashi and S. Sutherland of Columbia University; Lamont-Doherty Earth Observatory and Colm Sweeney of University of Colorado At Boulder; Cooperative Institute for Research In Environmental Sciences as part of the R/V Nathaniel B. Palmer Lines data set. The Global Volunteer Observing Ship (VOS) Program is coordinated by the UNESCO International Ocean Carbon Coordination Project (IOCCP). International groups from 14 countries have been outfitting research ships and commercial vessels with automated CO2 sampling equipment to analyze the carbon exchange between the ocean and atmosphere.
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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Belt transects along 2 consecutively-placed, 25m transect lines were surveyed as part of Rapid Ecological Assessments conducted at 2 sites at Necker in the NW Hawaiian Islands (NWHI) during 1 September - 4 October 2006 in the NOAA Hi'ialakai Reef Assessment and Monitoring Program (RAMP) Cruise (HI0611). Raw survey data included species presence and relative abundance, colony counts and size classes by genus, and determination of benthic cover using the line-intercept method. Depending on colony density, 0.5 or 1 m on each side of the transect lines was included in the belt (for a total of 25-100m2 per site).
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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Physical and underway data collected aboard the ENDEAVOR during cruise EN494 in the North Atlantic Ocean from 2011-06-01 to 2011-06-21 (NODC Accession 0103966)
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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NODC accession 0103966 includes physical and underway data collected aboard the ENDEAVOR during cruise EN494 in the North Atlantic Ocean from 2011-06-01 to 2011-06-21. 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 RHODE ISLAND; GRADUATE SCHOOL OF OCEANOGRAPHY as part of Scalable Lateral Mixing and Coherent Turbulence (LatMix). 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.
Physical and nutrients profile data from the R/V ALPHA HELIX using bottle casts in the Gulf of Alaska from 06 April 1989 to 11 April 1989 (NODC Accession 0000223)
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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Physical and nutrient profile data were collected using bottle casts from the R/V ALPHA HELIX in the Gulf of Alaska from April 6, 1989 to April 11, 1989. Data were submitted by Dr.Thomas C. Royer of University of Alaska - Fairbanks; Institute of Marine Science. Data were collected by using bottle casts in the Gulf of Alaska.
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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Hawaii Hyperspectral Imagery 2000 (419-0620-332211) - Visual Interpretation from Remote Sensing Imagery Main Eight Hawaiian Islands
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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This project is a cooperative effort between 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.
Vydavatel US Census Bureau, Department of Commerce
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The 2014 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Regions are four groupings of States (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data.
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
Datum vydání před více než 9 roky