BCO-DMO ERDDAP
Accessing BCO-DMO data

Make A Graph

Dataset Title:	[Discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity] - Supplementary discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity from Ocean Observatories Initiative (OOI) cruises to the Irminger Sea Array 2018- 2019 (Collaborative Research: The Annual Cycle of the Biological Carbon Pump in the Subpolar North Atlantic)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_904722_v1)
Range:	longitude = -39.8835 to -28.6567°E, latitude = 59.7123 to 62.7715°N, time = 2018-06-06T08:16:00Z to 2019-08-15T20:04:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

To work correctly, this web page requires that JavaScript be enabled in your browser. Please:
1) Enable JavaScript in your browser:
      • Chrome: "Settings : Advanced : Privacy and security : Site Settings : JavaScript"
      • Firefox: (it should be always on!)"
      • Opera: "Settings : Websites : JavaScript"
      • Safari: "Safari : Preferences : Security : Enable JavaScript"
2) Reload this web page.

Graph Type:

X Axis:

Y Axis:

Color:

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.

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:

Time range:

[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:

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 {
  Cruise {
    String long_name "Cruise";
    String units "unitless";
  }
  Cast {
    Int32 actual_range 1, 21;
    String long_name "Cast";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 59.7123, 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 -39.8835, -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 1.52827296e+9, 1.56589944e+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";
  }
  Niskin_ID {
    String long_name "Niskin_id";
    String units "unitless";
  }
  CTDPRES {
    Float32 actual_range 2.9, 2998.3;
    String long_name "Ctdpres";
    String units "dbar";
  }
  CTDTEMP_ITS90 {
    Float32 actual_range 1.355, 10.296;
    String long_name "Ctdtemp_its90";
    String units "degrees C";
  }
  CTDTEMP_flag {
    Int32 actual_range 2, 2;
    String long_name "Ctdtemp_flag";
    String units "unitless";
  }
  CTDSAL_PSS78 {
    Float32 actual_range 34.569, 34.986;
    String long_name "Ctdsal_pss78";
    String units "unitless";
  }
  CTDSAL_flag {
    Int32 actual_range 2, 2;
    String long_name "Ctdsal_flag";
    String units "unitless";
  }
  CTDOXYCUR {
    String long_name "Ctdoxycur";
    String units "volts";
  }
  CTDOXYCUR_flag {
    String long_name "Ctdoxycur_flag";
    String units "unitless";
  }
  CTDOXY {
    String long_name "Ctdoxy";
    String units "umol/kg";
  }
  CTDOXY_flag {
    String long_name "Ctdoxy_flag";
    String units "unitless";
  }
  AAOXYCUR {
    Float32 actual_range 1.868, 2.2861;
    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 273.6, 302.0;
    String long_name "Aaoxy";
    String units "umol/kg";
  }
  AAOXY_flag {
    Int32 actual_range 3, 3;
    String long_name "Aaoxy_flag";
    String units "unitless";
  }
  Oxygen1 {
    Float32 actual_range 272.6, 342.2;
    String long_name "Oxygen1";
    String units "umol/kg";
  }
  Oxygen1_flag {
    Int32 actual_range 1, 9;
    String long_name "Oxygen1_flag";
    String units "unitless";
  }
  Oxygen2 {
    Float32 actual_range 273.3, 344.6;
    String long_name "Oxygen2";
    String units "umol/kg";
  }
  Oxygen2_flag {
    Int32 actual_range 1, 9;
    String long_name "Oxygen2_flag";
    String units "unitless";
  }
  Oxygen3 {
    Float32 actual_range 273.4, 344.5;
    String long_name "Oxygen3";
    String units "umol/kg";
  }
  Oxygen3_flag {
    Int32 actual_range 1, 9;
    String long_name "Oxygen3_flag";
    String units "unitless";
  }
  DIC {
    Float32 actual_range 2121.1, 2185.5;
    String long_name "Dic";
    String units "umol/kg";
  }
  DIC_flag {
    Int32 actual_range 6, 9;
    String long_name "Dic_flag";
    String units "unitless";
  }
  TA {
    Float32 actual_range 2295.2, 2313.6;
    String long_name "Ta";
    String units "umol/kg";
  }
  TA_flag {
    Int32 actual_range 3, 9;
    String long_name "Ta_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.904722.1";
    Float64 Easternmost_Easting -28.6567;
    Float64 geospatial_lat_max 62.7715;
    Float64 geospatial_lat_min 59.7123;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -28.6567;
    Float64 geospatial_lon_min -39.8835;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-08T06:19:23Z (local files)
2024-11-08T06:19:23Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_904722_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/904722";
    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 59.7123;
    String summary 
"This dataset contains discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity collected during yearly Ocean Observatories Initiative (OOI) turn-around cruises to maintain the Irminger Sea Array (60.46°N, 38.44°W). Samples in this dataset were collected as part of an ancillary research project that joined the OOI turn-around cruises in June 2018 and August 2019 as part of ongoing efforts to enable OOI biogeochemical sensor data to be used to address scientific questions about ocean carbon cycling and the biological carbon pump. 

Discrete sample data collected and analyzed by this research team complement data collected by the OOI program as part of routine turn-around cruise activities. We provide the supplementary measurements made by our team alongside salinity- and oxygen- calibrated Conductivity Temperature Depth (CTD) and oxygen sensor data from the depths where Niskin bottles were closed for sample collection and additional discrete oxygen measurements made by the OOI team.";
    String time_coverage_end "2019-08-15T20:04:00Z";
    String time_coverage_start "2018-06-06T08:16:00Z";
    String title "[Discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity] - Supplementary discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity from Ocean Observatories Initiative (OOI) cruises to the Irminger Sea Array 2018-2019 (Collaborative Research: The Annual Cycle of the Biological Carbon Pump in the Subpolar North Atlantic)";
    Float64 Westernmost_Easting -39.8835;
  }
}

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.

ERDDAP, Version 2.22
Disclaimers | Privacy Policy | Contact