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Dataset Title:  Oxygen Isotope data from 37 R/V Albatross IV, R/V Endeavor, R/V Oceanus, and R/
V Parizeau (Canadian) cruises in the Gulf of Maine and Georges Bank, the Gulf
of St. Lawrence and Scotian Shelf from 1994-1999 (GB project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2397)
Range: longitude = -69.28 to -55.83°E, latitude = 40.45 to 50.08°N, depth = -68.6 to 758.6m
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | 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 identification";
    String long_name "Cruiseid";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 1994, 1999;
    String bcodmo_name "year";
    String description "Year of cruise, 4 digit year";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
  }
  month_begin {
    String bcodmo_name "month_start";
    String description "starting month of cruise";
    String long_name "Month Begin";
  }
  day_begin {
    String bcodmo_name "day_start";
    String description "starting day of cruise";
    String long_name "Day Begin";
  }
  month_end {
    String bcodmo_name "month_end";
    String description "ending month of cruise";
    String long_name "Month End";
  }
  day_end {
    String bcodmo_name "day_end";
    String description "ending day of cruise";
    String long_name "Day End";
  }
  si {
    String bcodmo_name "investigator";
    String description "name of contributing scientist(s)";
    String long_name "Si";
  }
  location {
    String bcodmo_name "unknown";
    String description "sampling program/area";
    String long_name "Location";
  }
  event {
    String bcodmo_name "event";
    String description "event number, combination of cruiseid and cast number";
    String long_name "Event";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/EVTAGFL/";
  }
  station_std {
    Byte _FillValue 127;
    Byte actual_range 1, 40;
    String bcodmo_name "station_std";
    String description "standard station number";
    String long_name "Station Std";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 40.45, 50.08;
    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 -69.28, -55.83;
    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";
  }
  cast {
    Byte _FillValue 127;
    Byte actual_range 1, 41;
    String bcodmo_name "cast";
    String description "CTD/bottle cast number";
    String long_name "Cast";
  }
  bottle {
    String bcodmo_name "bottle";
    String description "bottle number/identification";
    String long_name "Bottle";
  }
  delta_O_18 {
    Float32 _FillValue NaN;
    Float32 actual_range -2.5883, 0.745;
    String bcodmo_name "delta18O";
    String description "isotope ratio H218O/H216O, presented in delta18O notation";
    String long_name "Delta O 18";
  }
  temp {
    Float32 _FillValue NaN;
    Float32 actual_range -0.95, 19.525;
    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 centigrade";
  }
  sal {
    Float32 _FillValue NaN;
    Float32 actual_range 28.39, 35.932;
    String bcodmo_name "sal";
    String description "salinity, PSS";
    String long_name "Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
  }
  flvolt {
    Float32 _FillValue NaN;
    Float32 actual_range 0.081, 3.027;
    String bcodmo_name "fluor voltage";
    String description "fluorescence, from CTD mounted fluorometer";
    String long_name "Flvolt";
    String units "volts";
  }
  trans_v {
    Float32 _FillValue NaN;
    Float32 actual_range 2.762, 4.718;
    String bcodmo_name "trans_v";
    String description "light transmission";
    String long_name "Trans V";
    String units "volts";
  }
  cond_mM {
    Float32 _FillValue NaN;
    Float32 actual_range 27.187, 40.338;
    String bcodmo_name "cond_mM";
    String description "conductivity";
    String long_name "Cond M M";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "milliMhos/centimeter";
  }
  depth_w {
    Float32 _FillValue NaN;
    Float32 actual_range -49.29, 875.0;
    String bcodmo_name "depth_w";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "water depth";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range -68.6, 758.6;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "depth of sample";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  diff_delta_O_18 {
    Float32 _FillValue NaN;
    Float32 actual_range -1.8416, 0.849;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum -10.0;
    String description "difference range between replicates";
    String long_name "Diff Delta O 18";
  }
  comments {
    String bcodmo_name "comment";
    String description "identifies repeated analysis";
    String long_name "Comments";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Oxygen isotope data are derived from water samples collected on GLOBEC broad-
scale and contemporaneous Canadian cruises 1994-1998. The isotope ratio
H218O/H216O is measured, using a VG Prism II mass-spectrometer operated by
Rick Mortlock and maintained by Rick Fairbanks at LDEO.";
    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 
"add month_begin and month_end 
 Add month and location.  Change abbreviation for Parizeau to PAR. 10/16/1998 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 "2009-11-25T13:08:30Z";
    String date_modified "2019-03-12T21:05:16Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.2397.1";
    Float64 Easternmost_Easting -55.83;
    Float64 geospatial_lat_max 50.08;
    Float64 geospatial_lat_min 40.45;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -55.83;
    Float64 geospatial_lon_min -69.28;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 758.6;
    Float64 geospatial_vertical_min -68.6;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-04-18T23:16:44Z (local files)
2024-04-18T23:16:44Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_2397.das";
    String infoUrl "https://www.bco-dmo.org/dataset/2397";
    String institution "BCO-DMO";
    String instruments_0_acronym "CTD SBE 911";
    String instruments_0_dataset_instrument_description "CTD measurements taken by a SBE911 (SeaBird) CTD instrument package";
    String instruments_0_dataset_instrument_nid "4201";
    String instruments_0_description "The Sea-Bird SBE 911 is a type of CTD instrument package.  The SBE 911 includes the SBE 9 Underwater Unit and the SBE 11 Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 and SBE 11 is called a SBE 911.  The SBE 9 uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 and SBE 4). The SBE 9 CTD can be configured with auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). More information from Sea-Bird Electronics.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0035/";
    String instruments_0_instrument_name "CTD Sea-Bird 911";
    String instruments_0_instrument_nid "422";
    String instruments_0_supplied_name "CTD Seabird 911";
    String instruments_1_acronym "CTD NBIS MK5";
    String instruments_1_dataset_instrument_description "Mark 5 CTD.";
    String instruments_1_dataset_instrument_nid "4206";
    String instruments_1_description "The Neil Brown Instrument Systems Mark 5 CTD is used to measure conductivity, temperature, and depth of sea water. The MK5 profiler has a higher sampling rate then the SeaBird SEACAT. (For the GLOBEC Georges Bank project the Mark 5 was instrumented with an expanded suite of sensors and deployed almost exclusively at GLOBEC Standard stations.)";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/130/";
    String instruments_1_instrument_name "CTD Neil Brown Mark 5";
    String instruments_1_instrument_nid "435";
    String instruments_1_supplied_name "Mark 5 CTD";
    String instruments_2_acronym "IR Mass Spec";
    String instruments_2_dataset_instrument_description "The isotope ratio H218O/H216O is measured, using a VG Prism II mass-spectrometer operated by Rick Mortlock and maintained by Rick Fairbanks at LDEO.";
    String instruments_2_dataset_instrument_nid "4189";
    String instruments_2_description "The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer).";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB16/";
    String instruments_2_instrument_name "Isotope-ratio Mass Spectrometer";
    String instruments_2_instrument_nid "469";
    String instruments_2_supplied_name "VG Prism II Mass-Spectrometer";
    String keywords "altimetry, bco, bco-dmo, begin, biological, bottle, cast, chemical, comments, cond, cond_mM, cruiseid, data, dataset, day, day_begin, day_end, delta, delta_O_18, depth, depth_w, diff, diff_delta_O_18, dmo, end, erddap, event, flvolt, laboratory, latitude, longitude, management, month, month_begin, month_end, oceanography, office, preliminary, profiler, sal, salinity, salinity-temperature-depth, satellite, station, station_std, std, temperature, trans, trans_v, v, year";
    String license "https://www.bco-dmo.org/dataset/2397/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2397";
    Float64 Northernmost_Northing 50.08;
    String param_mapping "{'2397': {'lat': 'master - latitude', 'depth': 'flag - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2397/parameters";
    String people_0_affiliation "Lamont-Doherty Earth Observatory";
    String people_0_affiliation_acronym "LDEO";
    String people_0_person_name "Robert W. Houghton";
    String people_0_person_nid "50412";
    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 40.45;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "si";
    String summary "Oxygen Isotope data from 37 R/V Albatross IV, R/V Endeavor, R/V Oceanus, and R/V Parizeau (Canadian) cruises in the Gulf of Maine and Georges Bank, the Gulf of St. Lawrence and Scotian Shelf from 1994-1999 (GB project)";
    String title "Oxygen Isotope data from 37 R/V Albatross IV, R/V Endeavor, R/V Oceanus, and R/V Parizeau (Canadian) cruises in the Gulf of Maine and Georges Bank, the Gulf of St. Lawrence and Scotian Shelf from 1994-1999 (GB project)";
    String version "1";
    Float64 Westernmost_Easting -69.28;
    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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