BCO-DMO ERDDAP
Accessing BCO-DMO data
log in    
Brought to you by BCO-DMO    

ERDDAP > tabledap > Make A Graph ?

Dataset Title:  Scanfish data from R/V Endeavor cruises EN321 and EN325 in the Gulf of Maine
and Georges Bank in 1999 as part of the U.S. GLOBEC program (GB project)
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2432)
Range: longitude = -67.83502 to -66.41446°E, latitude = 40.72768 to 42.37286°N
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
Constraints ? Optional
Constraint #1 ?
Optional
Constraint #2 ?
       
       
       
       
       
 
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.")
 
Graph Settings
Marker Type:   Size: 
Color: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Zoom: 
[The graph you specified. Please be patient.]

 

Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

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 1999, 1999;
    String bcodmo_name "year";
    String description "year, 4 digit";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
  }
  tow {
    Byte _FillValue 127;
    Byte actual_range 1, 16;
    String bcodmo_name "tow";
    String description "tow number within cruise";
    String long_name "Tow";
  }
  yrday_gmt {
    Float64 _FillValue NaN;
    Float64 actual_range 89.04188, 178.98637;
    String bcodmo_name "yrday_gmt";
    String description "year day based on Julian calendar (Jan. 1, noon = 1.5)";
    String long_name "Yrday Gmt";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 40.72768, 42.37286;
    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 -67.83502, -66.41446;
    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";
  }
  press {
    Float64 _FillValue NaN;
    Float64 actual_range -0.01, 186.27;
    String bcodmo_name "pressure";
    String description "depth of sample reported as pressure";
    String long_name "Press";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PRESPR01/";
    String units "decibars";
  }
  temp {
    Float32 _FillValue NaN;
    Float32 actual_range 3.4966, 18.8516;
    String bcodmo_name "temperature";
    String description "water temperature, ITS90";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "deg. C";
  }
  sal {
    Float32 _FillValue NaN;
    Float32 actual_range 31.6753, 34.8687;
    String bcodmo_name "sal";
    String description "salinity, PSS-78, PSU";
    String long_name "Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
  }
  sigma_t {
    Float32 _FillValue NaN;
    Float32 actual_range 23.5033, 27.0561;
    String bcodmo_name "sigma-t";
    String description "sigma_t";
    String long_name "Sigma T";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTEQST/";
    String units "kg/m3";
  }
  o2 {
    Float32 _FillValue NaN;
    Float32 actual_range 3.9531, 8.8319;
    String bcodmo_name "dissolved Oxygen";
    String description "dissolved oxygen";
    String long_name "O2";
    String units "ml/l";
  }
  chl_a {
    Float32 _FillValue NaN;
    Float32 actual_range 0.3656, 33.7407;
    String bcodmo_name "chlorophyll a";
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String description "chlorophyll as derived from a CTD mounted fluorometer";
    String long_name "Concentration Of Chlorophyll In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/";
    String units "ug/l";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"The Scanfish is a towed undulating vehicle carrying a CTD and several other
sensors and was utilized on Endeavor Cruises 321 and 325 to Georges Bank. The
scanfish is towed along various transacts to map the hydrographic properties
of a survey area. During each cruise a number of tows were carried out, and
the data are organized by tow. The SeaBird 911plus CTD records data at 24 Hz.
It has been processed following the procedures outlined by O'Malley, et al
(1998) and subsequently averaged to 1 Hz.";
    String awards_0_award_nid "54626";
    String awards_0_award_number "unknown GB NOAA";
    String awards_0_funder_name "National Oceanic and Atmospheric Administration";
    String awards_0_funding_acronym "NOAA";
    String awards_0_funding_source_nid "352";
    String awards_1_award_nid "54663";
    String awards_1_award_number "OCE-9806375";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9806375";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "Phillip R. Taylor";
    String awards_1_program_manager_nid "50451";
    String cdm_data_type "Other";
    String comment "Scanfish data.  PIs: Dian Gifford and Karen Wishner (URI)";
    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 "2009-11-25T14:20:10Z";
    String date_modified "2019-10-31T13:54:44Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.2432.1";
    Float64 Easternmost_Easting -66.41446;
    Float64 geospatial_lat_max 42.37286;
    Float64 geospatial_lat_min 40.72768;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -66.41446;
    Float64 geospatial_lon_min -67.83502;
    String geospatial_lon_units "degrees_east";
    String history 
"2020-10-21T13:33:32Z (local files)
2020-10-21T13:33:32Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_2432.das";
    String infoUrl "https://www.bco-dmo.org/dataset/2432";
    String institution "BCO-DMO";
    String instruments_0_acronym "Scanfish";
    String instruments_0_dataset_instrument_description "The Scanfish is a towed undulating vehicle carrying a CTD and several other sensors and was utilized on Endeavor Cruises 321 and 325 to Georges Bank.";
    String instruments_0_dataset_instrument_nid "4134";
    String instruments_0_description "The Scanfish is a remotely operated, towed, undulating vehicle system designed for collecting 3D profile data of the water column.  It includes a Conductivity, Temperature, Depth (CTD) profiler as part of the instrument package.  The Scanfish housing has fins to allow it to dive and rise, an altimeter to determine the depth of the unit, a pump that moves water through the system and a data cable that reports data back to the ship as the fish is being towed through the water behind the vessel.  The Scanfish can be configured with additional sensors, e.g. fluorometer.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/131/";
    String instruments_0_instrument_name "Scanfish";
    String instruments_0_instrument_nid "446";
    String instruments_0_supplied_name "Scanfish";
    String instruments_1_acronym "CTD Sea-Bird";
    String instruments_1_dataset_instrument_description "The SeaBird 911plus CTD records data at 24 Hz.";
    String instruments_1_dataset_instrument_nid "4135";
    String instruments_1_description "Conductivity, Temperature, Depth (CTD) sensor package from SeaBird Electronics, no specific unit identified. This instrument designation is used when specific make and model are not known. See also other SeaBird instruments listed under CTD. More information from Sea-Bird Electronics.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/130/";
    String instruments_1_instrument_name "CTD Sea-Bird";
    String instruments_1_instrument_nid "447";
    String instruments_1_supplied_name "SeabirdCTD";
    String keywords "altimetry, bco, bco-dmo, biological, chemical, chemistry, chl_a, chlorophyll, concentration, concentration_of_chlorophyll_in_sea_water, cruiseid, data, dataset, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, erddap, laboratory, latitude, longitude, management, O2, ocean, oceanography, oceans, office, oxygen, preliminary, press, sal, satellite, science, sea, seawater, sigma, sigma_t, temperature, tow, water, year, yrday, yrday_gmt";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/2432/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2432";
    Float64 Northernmost_Northing 42.37286;
    String param_mapping "{'2432': {'lat': 'master - latitude', 'press': 'flag - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2432/parameters";
    String people_0_affiliation "University of Rhode Island";
    String people_0_affiliation_acronym "URI-GSO";
    String people_0_person_name "Dian J. Gifford";
    String people_0_person_nid "50377";
    String people_0_role "Co-Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Rhode Island";
    String people_1_affiliation_acronym "URI-GSO";
    String people_1_person_name "Karen Wishner";
    String people_1_person_nid "50455";
    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 "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 40.72768;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "year";
    String summary "Scanfish data from R/V Endeavor cruises EN321 and EN325 in the Gulf of Maine and Georges Bank in 1999 as part of the U.S. GLOBEC program.";
    String title "Scanfish data from R/V Endeavor cruises EN321 and EN325 in the Gulf of Maine and Georges Bank in 1999 as part of the U.S. GLOBEC program (GB project)";
    String version "1";
    Float64 Westernmost_Easting -67.83502;
    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.


 
ERDDAP, Version 2.02
Disclaimers | Privacy Policy | Contact