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Dataset Title:  Bedford Institute of Oceanography CTD Data from 10 cruises to the Eastern Gulf
of Maine/Scotian Shelf aboard Canadian ships CCGS Cygnus, R/V Hudson, and R/V
Parizeau from 1993-1999 (GB project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2405)
Range: longitude = -67.9975 to -61.3968°E, latitude = 40.833 to 44.6922°N
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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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 identifier e.g. AL9505 = RV/Albatross-9505";
    String long_name "Cruiseid";
    String units "text";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 1993, 1999;
    String bcodmo_name "year";
    String description "year of sampling in�YYYY format.";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  station {
    Byte _FillValue 127;
    Byte actual_range 0, 67;
    String bcodmo_name "station";
    String description "station number";
    String long_name "Station";
    String units "integer";
  }
  day_gmt {
    String bcodmo_name "day_gmt";
    String description "day of month in local time";
    String long_name "Day Gmt";
    String units "1 to 31";
  }
  month_gmt {
    String bcodmo_name "month_gmt";
    String description "month in local time";
    String long_name "Month Gmt";
    String units "1 to 12";
  }
  time_gmt {
    String bcodmo_name "time_gmt";
    String description "local time";
    String long_name "Time Gmt";
    String units "HHmm";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 40.833, 44.6922;
    String axis "Y";
    String bcodmo_name "latitude";
    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 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 -67.9975, -61.3968;
    String axis "X";
    String bcodmo_name "longitude";
    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 nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth_w {
    Float32 _FillValue NaN;
    Float32 actual_range 37.0, 3231.0;
    String bcodmo_name "depth_w";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "depth of the water";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  press {
    Float64 _FillValue NaN;
    Float64 actual_range -99.0, 1020.0;
    String bcodmo_name "pressure";
    String description "pressure; depth of sample";
    String long_name "Press";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PRESPR01/";
    String units "decibars";
  }
  temp {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 201.0;
    String bcodmo_name "temperature";
    String description "temperature";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  sal {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 204.0;
    String bcodmo_name "sal";
    String description "salinity";
    String long_name "Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "psu";
  }
  sigma_0 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 199.0;
    String bcodmo_name "sigma_0";
    String description "density";
    String long_name "Sigma 0";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTPR01/";
    String units "kilograms/meter^3";
  }
  potemp {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 205.0;
    String bcodmo_name "potemp";
    String description "potential temperature";
    String long_name "Potemp";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/POTMCV01/";
    String units "degrees Celsius";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description "CTD Data from Eastern Gulf of Maine/Scotian Shelf.";
    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 
"CTD data from Peter Smith's cruises from 
    Bedford Institute of Oceanography (BIO) 
   see documentation for explanation of variables";
    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 "2009-11-25T13:06:19Z";
    String date_modified "2019-08-05T20:04:43Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.2405.1";
    Float64 Easternmost_Easting -61.3968;
    Float64 geospatial_lat_max 44.6922;
    Float64 geospatial_lat_min 40.833;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -61.3968;
    Float64 geospatial_lon_min -67.9975;
    String geospatial_lon_units "degrees_east";
    String history 
"2020-07-11T10:26:11Z (local files)
2020-07-11T10:26:11Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_2405.das";
    String infoUrl "https://www.bco-dmo.org/dataset/2405";
    String institution "BCO-DMO";
    String instruments_0_acronym "CTD";
    String instruments_0_dataset_instrument_description "CTD measurements taken, CTD unit unidentified.";
    String instruments_0_dataset_instrument_nid "4207";
    String instruments_0_description "The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column.  The instrument is lowered via cable through the water column and permits scientists observe the physical properties in real time via a conducting cable connecting the CTD to a deck unit and computer on the ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or  radiometers.  It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast.  This instrument designation is used when specific make and model are not known.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/130/";
    String instruments_0_instrument_name "CTD profiler";
    String instruments_0_instrument_nid "417";
    String instruments_0_supplied_name "Conductivity, Temperature, Depth";
    String keywords "altimetry, bco, bco-dmo, biological, chemical, cruiseid, data, dataset, day, day_gmt, depth, depth_w, dmo, erddap, laboratory, latitude, longitude, management, month, month_gmt, oceanography, office, potemp, preliminary, press, sal, satellite, sigma, sigma_0, station, temperature, time, time_gmt, year";
    String license "https://www.bco-dmo.org/dataset/2405/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2405";
    Float64 Northernmost_Northing 44.6922;
    String param_mapping "{'2405': {'lat': 'master - latitude', 'press': 'flag - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2405/parameters";
    String people_0_affiliation "Bedford Institute of Oceanography";
    String people_0_affiliation_acronym "BIO";
    String people_0_person_name "Peter C. Smith";
    String people_0_person_nid "50448";
    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 BCO-DMO";
    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 40.833;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Bedford Institute of Oceanography CTD Data from 10 cruises to the Eastern Gulf of Maine/Scotian Shelf aboard Canadian ships CCGS Cygnus, R/V Hudson, and R/V Parizeau from 1993-1999 (GB project)";
    String title "Bedford Institute of Oceanography CTD Data from 10 cruises to the Eastern Gulf of Maine/Scotian Shelf aboard Canadian ships CCGS Cygnus, R/V Hudson, and R/V Parizeau from 1993-1999 (GB project)";
    String version "1";
    Float64 Westernmost_Easting -67.9975;
    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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