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Dataset Title:  Bongo displacement volume data from R/V Albatross IV, R/V Endeavor, and R/V
Oceanus during U.S. GLOBEC Georges Bank broadscale cruises to Georges Bank and
the Gulf of Maine in 1995-1999 (GB project)
  RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2391)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 cruiseid ?              
 year (unitless) ?          1995    1999
 cast (integer) ?          1    134
 station (integer) ?          1    85
 station_std (integer) ?          1    100
 day_local (1-31) ?          1    30
 month_local (1-12) ?          1    7
 time_local (HHmm) ?          0    2358
 lat (Latitude, decimal degrees) ?          40.23    42.34
 lon (Longitude, decimal degrees) ?          -69.14    -65.66
 depth_w (Depth, cubic meters) ?          28    1085
 depth (m) ?          24.0    208.0
  < slider >
 raw_vol (cc) ?          1    990
 haul_factor (100/volume filtered (m3)) ?          0.08906    2.36248
 displ_vol (cc per 100m3 water) ?          0    1069
 region (text) ?              
 yrday_local ?          8    201
 
Server-side Functions ?
 distinct() ?
? (" ")

File type: (more info)

(Documentation / Bypass this form ? )
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  cruiseid {
    String description "cruise identifier e.g. AL9505 is RV/Albatross-9505";
    String ioos_category "Unknown";
    String long_name "Cruiseid";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 1995, 1999;
    String description "year of sampling. format: yyyy";
    String ioos_category "Time";
    String long_name "Year";
    String units "unitless";
  }
  cast {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 134;
    String description "cast number";
    String ioos_category "Unknown";
    String long_name "Cast";
    String units "integer";
  }
  station {
    Byte _FillValue 127;
    Byte actual_range 1, 85;
    String description "station number";
    String ioos_category "Identifier";
    String long_name "Station";
    String units "integer";
  }
  station_std {
    Byte _FillValue 127;
    Byte actual_range 1, 100;
    String description "standard station number";
    String ioos_category "Unknown";
    String long_name "Station Std";
    String units "integer";
  }
  day_local {
    Byte _FillValue 127;
    Byte actual_range 1, 30;
    String description "day of month in local time";
    String ioos_category "Time";
    String long_name "Day Local";
    String units "1-31";
  }
  month_local {
    Byte _FillValue 127;
    Byte actual_range 1, 7;
    String description "month in local time";
    String ioos_category "Time";
    String long_name "Month Local";
    String units "1-12";
  }
  time_local {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 2358;
    String description "local time";
    String ioos_category "Time";
    String long_name "Time Local";
    String units "HHmm";
  }
  lat {
    Float32 _FillValue NaN;
    Float32 actual_range 40.23, 42.34;
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude: North is positive and negative denotes South";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "decimal degrees";
  }
  lon {
    Float32 _FillValue NaN;
    Float32 actual_range -69.14, -65.66;
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longtude: East is   positive and negative denotes West";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "decimal degrees";
  }
  depth_w {
    Int16 _FillValue 32767;
    Int16 actual_range 28, 1085;
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "depth of the water";
    String ioos_category "Location";
    String long_name "Depth";
    String standard_name "depth";
    String units "cubic meters";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 24.0, 208.0;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "depth of the sample";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  raw_vol {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 990;
    String description "raw volume";
    String ioos_category "Unknown";
    String long_name "Raw Vol";
    String units "cc";
  }
  haul_factor {
    Float32 _FillValue NaN;
    Float32 actual_range 0.08906, 2.36248;
    String description 
"haul factor.
A standard haul factor (SHF) was calculated for each Bongo net tow to make them comparable
and to allow estimation of areal abundance. The SHF is calculated by the formula:
SHF = 10D/V
where D = depth of haul = cosine of the average angle of stray of the towing cable
multiplied by cable length (m)
V = total volume of water (m3) strained during the haul. 
V = R * a * p
where R = total number of revolutions of the current meter during the haul
a = area (m2) of the mouth of the net
p = length of the column of water needed produce one revolution of the current meter";
    String ioos_category "Unknown";
    String long_name "Haul Factor";
    String units "100/volume filtered (m3)";
  }
  displ_vol {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 1069;
    String description 
"displacement volume is a normalized displacement volume and is calculated:   raw_vol * haul_factor. 
Displacement volume is the volume of animals per 100 cubic meters of seawater.";
    String ioos_category "Unknown";
    String long_name "Displ Vol";
    String units "cc per 100m3 water";
  }
  region {
    String description "code for region of NW Atlantic: GBK= Georges Bank; GOM=Gulf of Maine; SNE=Southern New England; SSH=Slope/Shelf; UNK=unknown";
    String ioos_category "Location";
    String long_name "Region";
    String units "text";
  }
  yrday_local {
    Int16 _FillValue 32767;
    Int16 actual_range 8, 201;
    String description "local day and decimal time: as 326.5 for the 326th day of the year or November 22 at 1200 hours (noon)";
    String ioos_category "Unknown";
    String long_name "Yrday Local";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description "This displacement volume data comes from one net with a mesh size of 333 um.";
    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 "Dr 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 
"GLOBEC displacement volume data 
  David Mountain and Jack Green, PIs 
    position corrections have been made to this file. Contact DMO for details.";
    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 2.2d  13 Jun 2019";
    String date_created "2009-11-24T18:36:13Z";
    String date_modified "2019-03-12T18:42:47Z";
    String defaultDataQuery "&time";
    String doi "10.1575/1912/bco-dmo.2391.1";
    Float64 geospatial_vertical_max 208.0;
    Float64 geospatial_vertical_min 24.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2019-08-20T20:18:08Z (local files)
2019-08-20T20:18:08Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_2391.html";
    String infoUrl "https://www.bco-dmo.org/dataset/2391";
    String institution "BCO-DMO";
    String instruments_0_acronym "Bongo Net";
    String instruments_0_dataset_instrument_description "Bongo net with a mesh size of 333 um.";
    String instruments_0_dataset_instrument_nid "4109";
    String instruments_0_description "A Bongo Net consists of paired plankton nets, typically with a 60 cm diameter mouth opening and varying mesh sizes, 10 to 1000 micron. The Bongo Frame was designed by the National Marine Fisheries Service for use in the MARMAP program. It consists of two cylindrical collars connected with a yoke so that replicate samples are collected at the same time. Variations in models are designed for either vertical hauls (OI-2500 = NMFS Pairovet-Style, MARMAP Bongo, CalVET) or both oblique and vertical hauls (Aquatic Research). The OI-1200 has an opening and closing mechanism that allows discrete \"known-depth\" sampling. This model is large enough to filter water at the rate of 47.5 m3/minute when towing at a speed of two knots. More information: Ocean Instruments, Aquatic Research, Sea-Gear";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0009/";
    String instruments_0_instrument_name "Bongo Net";
    String instruments_0_instrument_nid "410";
    String instruments_0_supplied_name "Bongo Nets";
    String keywords "bco, bco-dmo, biological, cast, chemical, cruiseid, data, dataset, day, day_local, depth, depth_w, displ, displ_vol, dmo, erddap, factor, haul, haul_factor, identifier, latitude, local, longitude, management, month, month_local, oceanography, office, preliminary, profiler, raw, raw_vol, region, salinity, salinity-temperature-depth, station, station_std, std, temperature, time, time_local, vol, year, yrday, yrday_local";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2391";
    String param_mapping "{'2391': {'depth': 'flag - depth'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2391/parameters";
    String people_0_affiliation "National Marine Fisheries Service";
    String people_0_affiliation_acronym "NMFS";
    String people_0_person_name "Dr John Green";
    String people_0_person_nid "50404";
    String people_0_role "Co-Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "National Marine Fisheries Service";
    String people_1_affiliation_acronym "NMFS";
    String people_1_person_name "Dr David Mountain";
    String people_1_person_nid "50431";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Ms Dicky Allison";
    String people_2_person_nid "50382";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "U.S. GLOBEC Georges Bank";
    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 "Ms Dicky Allison";
    String publisher_role "BCO-DMO Data Manager(s)";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Bongo displacement volume data from R/V Albatross IV, R/V Endeavor, and R/V Oceanus during U.S. GLOBEC Georges Bank broadscale cruises to Georges Bank and the Gulf of Maine in 1995-1999 (GB project)";
    String title "Bongo displacement volume data from R/V Albatross IV, R/V Endeavor, and R/V Oceanus during U.S. GLOBEC Georges Bank broadscale cruises to Georges Bank and the Gulf of Maine in 1995-1999 (GB project)";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.5-beta";
  }
}

 

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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