BCO-DMO ERDDAP
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Dataset Title:	[Triple oxygen isotopes of respiration and photo-oxidation of DOC] - Triple oxygen isotopes of respiration and photo-oxidation of DOC (Clumped Oxygen Isotope Signature of Marine Dissolved Oxygen)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_923821_v1)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

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Constraints	Optional Constraint #1		Optional Constraint #2

Server-side Functions

distinct()

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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_ID {
    String long_name "Sample_id";
    String units "unitless";
  }
  d18O_smowslap {
    Float32 actual_range 24.969, 50.012;
    String long_name "D18o_smowslap";
    String units "permil";
  }
  d17O_smowslap {
    Float32 actual_range 12.654, 25.481;
    String long_name "D17o_smowslap";
    String units "permil";
  }
  d18O_smowslap_log {
    Float32 actual_range 24.662, 48.801;
    String long_name "D18o_smowslap_log";
    String units "unitless";
  }
  d17O_smowslap_log {
    Float32 actual_range 12.575, 25.162;
    String long_name "D17o_smowslap_log";
    String units "unitless";
  }
  D17O {
    Float32 actual_range -0.727, -0.508;
    String long_name "D17o";
    String units "permil";
  }
  O2_Ar {
    Float32 actual_range 5.7333, 20.7213;
    String long_name "O2_ar";
    String units "unitless";
  }
  lnO2_Ar {
    Float32 actual_range 1.7463, 3.0312;
    String long_name "Lno2_ar";
    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.923821.1";
    String history 
"2025-11-07T21:06:18Z (local files)
2025-11-07T21:06:18Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_923821_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/923821";
    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 biogeochemical fluxes that cycle oxygen (O2) play a critical role in regulating Earth's climate and habitability. Triple-oxygen isotope (TOI) compositions of marine dissolved O2 are considered a robust tool for tracing oxygen cycling and quantifying gross photosynthetic O2 production. This method assumes that photosynthesis, microbial respiration, and gas exchange with the atmosphere are the primary influences on dissolved O2 content, and that they have predictable, fixed isotope effects. Despite its widespread use, there are major elements of this approach that remain uncharacterized, including the TOI dynamics of respiration by marine heterotrophic bacteria and abiotic O2 sinks such as the photochemical oxidation of dissolved organic carbon (DOC). Here, we report the TOI fractionation for O2 utilization by two model marine heterotrophs (Vibrio harveyi and Ruegeria pomeroyi DSS-3) and by abiotic photo-oxidation of representative terrestrial and coastal marine DOC. These data are described further in the related publication, Sutherland et al., 2022 (doi: 10.1093/pnasnexus/pgac233).";
    String title "[Triple oxygen isotopes of respiration and photo-oxidation of DOC] - Triple oxygen isotopes of respiration and photo-oxidation of DOC (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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