BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[The influence of reactive oxygen species on "‘respiration" isotope effect] - The influence of reactive oxygen species on "‘respiration" isotope effect (Clumped Oxygen Isotope Signature of Marine Dissolved Oxygen)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_923859_v1)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

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Constraints	Optional Constraint #1		Optional Constraint #2

Server-side Functions

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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 {
  Sample {
    String long_name "Sample";
    String units "unitless";
  }
  n {
    Int32 actual_range 1, 3;
    String long_name "N";
    String units "unitless";
  }
  d18O_smowslap {
    Float32 actual_range 5.269, 23.306;
    String long_name "D18o_smowslap";
    String units "permil";
  }
  D17O {
    Float32 actual_range -0.503, -0.347;
    String long_name "D17o";
    String units "permil";
  }
  d17O_smowslap_log {
    Float32 actual_range 2.35, 11.865;
    String long_name "D17o_smowslap_log";
    String units "unitless";
  }
  d18O_smowslap_log {
    Float32 actual_range 5.255, 23.038;
    String long_name "D18o_smowslap_log";
    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.923859.1";
    String history 
"2025-11-07T21:06:18Z (local files)
2025-11-07T21:06:18Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_923859_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/923859";
    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.";
    String sourceUrl "(local files)";
    String summary 
"The triple-oxygen isotope (17O/16O, 18O/16O) measurement of oxygen-bearing species represents one of the most robust tools to directly trace oxygen cycling in the environment. One particularly consequential application of this isotope system is the analysis of dissolved oxygen (O2) in aquatic environments to determine gross oxygen production. This approach assumes that photosynthesis, microbial respiration, and gas exchange are the main drivers of dissolved O2 isotope compositions, and that each process is described by predictable, consistent triple-oxygen isotope effects. However, there currently exists a large disagreement in the literature on the triple-oxygen isotope effect of respiration, which carries major implications for global primary productivity estimates. Recent work has additionally highlighted the ubiquitous production of extracellular reactive oxygen species (ROS) such as superoxide and hydrogen peroxide by microorganisms; this flux maybe responsible for as much as 20% of net oxygen utilization in the ocean. 

To examine the influence of ROS-mediated O2 recycling on the oxygen utilization isotope effect, we measured the triple-oxygen isotope fractionations and mass laws of superoxide dismutase, catalase, and iron-mediated H2O2 degradation. We incorporate these constraints into an oxygen isotope flux model to explore the influence of ROS-mediated oxygen cycling on \"respiration\" isotope effects in previous studies. We find that ROS-mediated oxygen cycling can reconcile the previously reported range of triple-oxygen isotope fractionation factors and that typical marine isotope effects are broadly consistent with independent estimates of superoxide-mediated oxygen loss. These data are described further in the related publication, Sutherland et al., 2022 (doi: 10.1016/j.gca.2022.02.033).";
    String title "[The influence of reactive oxygen species on \"‘respiration\" isotope effect] - The influence of reactive oxygen species on \"‘respiration\" isotope effect (Clumped Oxygen Isotope Signature of Marine Dissolved Oxygen)";
  }
}

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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