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Dataset Title:  [vbs] - Volume backscatter acoustics data collected on R/V Albatross IV
cruises AL9205 and AL9607 in the Gulf of Maine and Georges Bank in 1992 and
1996 (GB project) (U.S. GLOBEC Georges Bank)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2398)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 cruiseid ?          "AL9205"    "AL9607"
 year ?          1992    1996
 track_line ?          1    37
 yrday_utc (dec. yearday) ?          142.12245    164.47118
 latitude (degrees_north) ?          40.415667    42.286167
  < slider >
 longitude (degrees_east) ?          -69.031333    -65.851333
  < slider >
 depth_bin_2 (Depth, meters) ?          1.0    120.0
 transducer (meters) ?          1.0    120.0
 vbs_coef (meter**-1) ?          0.0    0.1
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")

File type: (more information)

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  cruiseid {
    String bcodmo_name "cruiseid";
    String description "cruise identification";
    String long_name "Cruiseid";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 1992, 1996;
    String bcodmo_name "year";
    String description "year of cruise";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
  }
  track_line {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 37;
    String bcodmo_name "unknown";
    String description "track line identification";
    String long_name "Track Line";
  }
  yrday_utc {
    Float64 _FillValue NaN;
    Float64 actual_range 142.12245, 164.47118;
    String bcodmo_name "yrday_utc";
    String description "year day, utc (equates to date and time)";
    String long_name "Yrday Utc";
    String units "dec. yearday";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 40.415667, 42.286167;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude, negative = South";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -69.031333, -65.851333;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude, negative = West";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth_bin_2 {
    Float32 _FillValue NaN;
    Float32 actual_range 1.0, 120.0;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "depth of observation, based on an averaging of two meter bins";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  transducer {
    Float32 _FillValue NaN;
    Float32 actual_range 1.0, 120.0;
    String bcodmo_name "unknown";
    String description "depth of transducer";
    String long_name "Transducer";
    String units "meters";
  }
  vbs_coef {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 0.1;
    String bcodmo_name "unknown";
    String description "volume back sattering coefficient";
    String long_name "Vbs Coef";
    String units "meter**-1";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"The data are reported at 20 depth intervals (1-20meters) per yearday and
position over a given track line.";
    String awards_0_award_nid "54610";
    String awards_0_award_number "unknown GB NSF";
    String awards_0_funder_name "National Science Foundation";
    String awards_0_funding_acronym "NSF";
    String awards_0_funding_source_nid "350";
    String awards_0_program_manager "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String awards_1_award_nid "54626";
    String awards_1_award_number "unknown GB NOAA";
    String awards_1_funder_name "National Oceanic and Atmospheric Administration";
    String awards_1_funding_acronym "NOAA";
    String awards_1_funding_source_nid "352";
    String cdm_data_type "Other";
    String comment 
"Peter Wiebe's volume backscattering data for cruise AL9205 
 Tracklines #30,34 appear to have some errors and  
 \t\thave been removed.  11/25/96 rcg";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2009-11-25T14:56:13Z";
    String date_modified "2019-03-12T21:19:26Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.2398.1";
    Float64 Easternmost_Easting -65.851333;
    Float64 geospatial_lat_max 42.286167;
    Float64 geospatial_lat_min 40.415667;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -65.851333;
    Float64 geospatial_lon_min -69.031333;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-23T17:26:06Z (local files)
2024-11-23T17:26:06Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_2398.html";
    String infoUrl "https://www.bco-dmo.org/dataset/2398";
    String institution "BCO-DMO";
    String instruments_0_acronym "Greene Bomber";
    String instruments_0_dataset_instrument_nid "5239";
    String instruments_0_description 
"The Greene Bomber is a ENDECO V-fin towed body with overall dimensions of length: 139.7 cm; width at front: 66 cm; width at rear: 142.2 cm; height: 48.26 cm.  It is constructed primarily of fiberglass. Since the early 1990's it has been towed just below the sea surface with acoustic and environmental sensors to provide continuous profiles of the water column acoustic backscattering and target strengths from zooplankton with a size range of ~ 1.5 mm to 100 mm, and sea surface environmental properties (temperature, salinity, and fluorescence). It was first used with a BioSonics dual-beam acoustic system operating at 420 kHz and 1 MHz or 120 and 420 kHz. The environmental sensing system (ESS) was the ESS used on MOCNESS. In 1997 the acoustics were changed to a HTI acousitic system with 120 and 420 kHz transducers. In 2010, two additional HTI transducers (43 and 200 kHz) were added.  For additional detail see:

Wiebe, P. and C. Greene.  1994. The use of high frequency acoustics in the study of zooplankton spatial and temporal patterns. Proc. NIPR Symp. Polar Biol. 7: 133-157.

Wiebe, P.H., D. Mountain, T.K. Stanton, C. Greene, G. Lough, S. Kaartvedt,  J. Dawson, and N. Copley. 1996. Acoustical study of the spatial distribution of plankton on Georges Bank and the relation of volume backscattering strength to the taxonomic composition of the plankton.   Deep-Sea Research II. 43: 1971-2001.


Wiebe, PH; Stanton, T K; Benfield, M C; Mountain, D G; Greene, CH. 1997. High-frequency acoustic volume backscattering in the Georges Bank coastal region and its interpretation using scattering models. IEEE Journal of Oceanic Engineering22(3): 445-464.";
    String instruments_0_instrument_name "Greene Bomber";
    String instruments_0_instrument_nid "427";
    String instruments_0_supplied_name "Greene Bomber";
    String keywords "bco, bco-dmo, biological, chemical, coefficient, cruiseid, data, dataset, depth, depth_bin_2, dmo, erddap, latitude, line, longitude, management, oceanography, office, preliminary, track, track_line, transducer, vbs, vbs_coef, year, yrday, yrday_utc";
    String license "https://www.bco-dmo.org/dataset/2398/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2398";
    Float64 Northernmost_Northing 42.286167;
    String param_mapping "{'2398': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2398/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Peter H. Wiebe";
    String people_0_person_nid "50454";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI";
    String people_1_person_name "Ms Dicky Allison";
    String people_1_person_nid "50382";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "GB";
    String projects_0_acronym "GB";
    String projects_0_description 
"The U.S. GLOBEC Georges Bank Program is a large multi- disciplinary multi-year oceanographic effort. The proximate goal is to understand the population dynamics of key species on the Bank - Cod, Haddock, and two species of zooplankton (Calanus finmarchicus and Pseudocalanus) - in terms of their coupling to the physical environment and in terms of their predators and prey. The ultimate goal is to be able to predict changes in the distribution and abundance of these species as a result of changes in their physical and biotic environment as well as to anticipate how their populations might respond to climate change.
The effort is substantial, requiring broad-scale surveys of the entire Bank, and process studies which focus both on the links between the target species and their physical environment, and the determination of fundamental aspects of these species' life history (birth rates, growth rates, death rates, etc).
Equally important are the modelling efforts that are ongoing which seek to provide realistic predictions of the flow field and which utilize the life history information to produce an integrated view of the dynamics of the populations.
The U.S. GLOBEC Georges Bank Executive Committee (EXCO) provides program leadership and effective communication with the funding agencies.";
    String projects_0_geolocation "Georges Bank, Gulf of Maine, Northwest Atlantic Ocean";
    String projects_0_name "U.S. GLOBEC Georges Bank";
    String projects_0_project_nid "2037";
    String projects_0_project_website "http://globec.whoi.edu/globec_program.html";
    String projects_0_start_date "1991-01";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 40.415667;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Volume backscatter acoustics data collected on R/V Albatross IV cruises AL9205 and AL9607 in the Gulf of Maine and Georges Bank in 1992 and 1996 (GB project)";
    String title "[vbs] - Volume backscatter acoustics data collected on R/V Albatross IV cruises AL9205 and AL9607 in the Gulf of Maine and Georges Bank in 1992 and 1996 (GB project) (U.S. GLOBEC Georges Bank)";
    String version "1";
    Float64 Westernmost_Easting -69.031333;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
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