BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[Dissolved Oxygen - Irminger Sea] - Calibrated dissolved oxygen time series at the Ocean Observatories Initiative’s Irminger Sea Array from 2014 to 2022 (CAREER: Constraining the high-latitude ocean carbon cycle: Leveraging the Ocean Observatories Initiative (OOI) Global Arrays as marine biogeochemical time series)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_998868_v1)
Range:	longitude = -39.506 to -39.506°E, latitude = 59.972 to 59.972°N, time = 2014-09-11T12:00:00Z to 2022-01-03T12:00:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| 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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.4104368e+9, 1.6412112e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  profile_number {
    Int32 actual_range 1, 2672;
    String long_name "Profile_number";
    String units "unitless";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -39.506, -39.506;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 59.972, 59.972;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  prs_dbar {
    Int32 actual_range 1, 2600;
    String long_name "Prs_dbar";
    String units "decibar (db)";
  }
  DO_umolkg {
    Float32 actual_range 240.3, 352.6;
    String long_name "Do_umolkg";
    String units "μmol/kg";
  }
 }
  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 defaultDataQuery "&amp;time&lt;now";
    String doi "10.26008/1912/bco-dmo.998868.1";
    Float64 Easternmost_Easting -39.506;
    Float64 geospatial_lat_max 59.972;
    Float64 geospatial_lat_min 59.972;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -39.506;
    Float64 geospatial_lon_min -39.506;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-08-13T09:21:15Z (local files)
2026-08-13T09:21:15Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_998868_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/998868";
    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 59.972;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 59.972;
    String summary "This dataset contains calibrated, full water-column dissolved oxygen time series collected at the Ocean Observations Initiative (OOI) Global Irminger Sea Array (59.97°N, 39.51°W) from September 2014 to July 2022 from profiling and fixed-depth assets. Optodes on the wire-following profilers (WFP) were calibrated using the “deep isotherm approach”, which assumes that oxygen remains stable on a deep isotherm over time. We used bottle-calibrated profiles from turn-around cruises to determine the oxygen concentration on a deep, stable isotherm. Oxygen optodes on the WFP were then calibrated to this concentration as they passed through this isotherm during each profile. This calibration was then passed on to oxygen data collected by gliders transiting the array. Starting in 2018, we include surface mixed-layer dissolved oxygen data that were calibrated based on turn-around cruise measurements at the beginning and end of each sensor deployment. This dataset contains calibrated oxygen data from surface moorings, wire-following profilers, and gliders at their original sampling intervals as well as a blended product that combines oxygen products from all calibrated assets. An overview of the data collection and post-processing required for oxygen optode calibration is included. This dataset is presented 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 "2022-01-03T12:00:00Z";
    String time_coverage_start "2014-09-11T12:00:00Z";
    String title "[Dissolved Oxygen - Irminger Sea] - Calibrated dissolved oxygen time series at the Ocean Observatories Initiative’s Irminger Sea Array from 2014 to 2022 (CAREER: Constraining the high-latitude ocean carbon cycle: Leveraging the Ocean Observatories Initiative (OOI) Global Arrays as marine biogeochemical time series)";
    Float64 Westernmost_Easting -39.506;
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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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