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Dataset Title:  [Bottle-calibrated dissolved oxygen profiles] - Bottle-calibrated dissolved
oxygen profiles from yearly turn-around cruises for the Ocean Observations
Initiative (OOI) Irminger Sea Array 2014 – 2022 (Collaborative Research: The
Annual Cycle of the Biological Carbon Pump in the Subpolar North Atlantic)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_904721_v1)
Range: longitude = -69.3613 to -28.6567°E, latitude = 41.5838 to 62.7715°N, time = 2014-09-08T14:44:00Z to 2022-07-13T09:37:00Z
Information:  Summary ? | License ? | FGDC | 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 {
  Cruise {
    String long_name "Cruise";
    String units "unitless";
  }
  Cast {
    Int32 actual_range 1, 23;
    String long_name "Cast";
    String units "unitless";
  }
  Direction {
    String long_name "Direction";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 41.5838, 62.7715;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -69.3613, -28.6567;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.41018744e+9, 1.65770502e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Date_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  CTDPRES {
    Float32 actual_range 1.0, 3458.0;
    String long_name "Ctdpres";
    String units "dbar";
  }
  CTDTEMP_ITS90 {
    Float32 actual_range 1.181, 21.448;
    String long_name "Ctdtemp_its90";
    String units "degrees C";
  }
  CTDTEMP_flag {
    Int32 actual_range 1, 3;
    String long_name "Ctdtemp_flag";
    String units "unitless";
  }
  CTDSAL_PSS78 {
    Float32 actual_range 31.47, 35.729;
    String long_name "Ctdsal_pss78";
    String units "unitless";
  }
  CTDSAL_flag {
    Int32 actual_range 1, 3;
    String long_name "Ctdsal_flag";
    String units "unitless";
  }
  CTDOXYCUR {
    Float32 actual_range 1.3228, 4.5847;
    String long_name "Ctdoxycur";
    String units "volts";
  }
  CTDOXYCUR_flag {
    Int32 actual_range 2, 3;
    String long_name "Ctdoxycur_flag";
    String units "unitless";
  }
  CTDOXY {
    Float32 actual_range 137.3, 430.7;
    String long_name "Ctdoxy";
    String units "umol/kg";
  }
  CTDOXY_flag {
    Int32 actual_range 2, 3;
    String long_name "Ctdoxy_flag";
    String units "unitless";
  }
  AAOXYCUR {
    Float32 actual_range 1.6982, 2.4262;
    String long_name "Aaoxycur";
    String units "volts";
  }
  AAOXYCUR_flag {
    Int32 actual_range 3, 3;
    String long_name "Aaoxycur_flag";
    String units "unitless";
  }
  AAOXY {
    Float32 actual_range 208.0, 327.5;
    String long_name "Aaoxy";
    String units "umol/kg";
  }
  AAOXY_flag {
    Int32 actual_range 3, 3;
    String long_name "Aaoxy_flag";
    String units "unitless";
  }
  file_name {
    String long_name "File_name";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String doi "10.26008/1912/bco-dmo.904721.1";
    Float64 Easternmost_Easting -28.6567;
    Float64 geospatial_lat_max 62.7715;
    Float64 geospatial_lat_min 41.5838;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -28.6567;
    Float64 geospatial_lon_min -69.3613;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-08T06:18:39Z (local files)
2024-11-08T06:18:39Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_904721_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/904721";
    String institution "BCO-DMO";
    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.";
    Float64 Northernmost_Northing 62.7715;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 41.5838;
    String summary "This dataset contains bottle-calibrated dissolved oxygen (DO) profiles collected from Conductivity Temperature Depth (CTD) casts on turn-around cruises performed yearly to maintain the Ocean Observations Initiative (OOI) Global Irminger Sea Array (60.46°N, 38.44°W). DO profiles were used in conjunction with oxygen bottle measurements (Winklers) to produce a post-cruise oxygen-calibrated CTD product for scientific use. Bottle-calibrated CTD salinity products were used to produce post-cruise oxygen-calibrated CTD profiles starting in 2018 (Year 5). This document contains overviews of CTD data collection and processing and post-processing oxygen sensor calibration method. Reports for each cruise include a summary of relevant cruise events, oxygen sensor calibration results, and issues/problems associated with oxygen data collected on each cruise. This dataset has been created for end-users that require field-calibrated oxygen data products that are currently not provided by OOI through its standard data dissemination.";
    String time_coverage_end "2022-07-13T09:37:00Z";
    String time_coverage_start "2014-09-08T14:44:00Z";
    String title "[Bottle-calibrated dissolved oxygen profiles] - Bottle-calibrated dissolved oxygen profiles from yearly turn-around cruises for the Ocean Observations Initiative (OOI) Irminger Sea Array 2014 – 2022 (Collaborative Research: The Annual Cycle of the Biological Carbon Pump in the Subpolar North Atlantic)";
    Float64 Westernmost_Easting -69.3613;
  }
}

 

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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