BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[Guaymas Basin Organic Biomarker Concentrations within Acid-hydrolyzable and Base-hydrolyzable Extracts in Cores] - Organic Biomarker Concentrations within Acid-hydrolyzable and Base-hydrolyzable Extracts in Cores U1545, U1546, and U1547 from R/V JOIDES Resolution IODP Expedition 385 Guaymas Basin Tectonics and Biosphere between September and November 2019 (Hydrothermal and microbial controls on organic carbon mobilization from Guaymas Basin sediments)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_1011025_v1)
Information:	Summary \| License \| 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 {
  Biomarker_ID {
    String long_name "Biomarker_id";
    String units "Unitless";
  }
  Biomarker_Short_ID {
    String long_name "Biomarker_short_id";
    String units "Unitless";
  }
  Mean_RT {
    Float32 actual_range 10.77, 29.71325;
    String long_name "Mean_rt";
    String units "Minutes";
  }
  Sample_ID {
    String long_name "Sample_id";
    String units "Unitless";
  }
  Concentration {
    Float32 actual_range 6.81e-6, 0.1550277;
    String long_name "Concentration";
    String units "micrograms per cubic centimeter (ug/cm3)";
  }
 }
  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.1011025.1";
    String history 
"2026-11-14T16:41:48Z (local files)
2026-11-14T16:41:48Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_1011025_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/1011025";
    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 
"Marine sediments are one of the largest reservoirs of reduced carbon, but the influences controlling the amount and composition of organic matter stored for geologic time are not well understood. Mineral-associated organic matter, either bound to a mineral surface or within a larger matrix association, is thought to be non-bioavailable and sequestered within sediments. Heating of sediments, as found in hydrothermal environments and deep in the sedimentary column, has the potential to disrupt typical burial processes. We analyze subsurface sediments for the concentration and composition of organic biomarkers released via acid and base hydrolysis to improve our understanding of how heating changes the composition and distribution.

This dataset contains the concentrations (in micrograms per cubic centimeter (ug/cm3)) of organic biomarkers from 5-10 meters below seafloor (mbsf), 26-30 mbsf, and 54-57 mbsf within cores U1545, U1546, and U1547 from IODP Expedition 385, Guaymas Basin Tectonics and Biosphere. IODP cores U1545, U1546, and U1547, were chosen to represent a regional background core, previously heated core, and an actively heated core, respectively. This dataset reports concentrations of biomarkers released though successive acid hydrolysis and base hydrolysis, which are performed on the same sediments following the traditional solvent extraction.";
    String title "[Guaymas Basin Organic Biomarker Concentrations within Acid-hydrolyzable and Base-hydrolyzable Extracts in Cores] - Organic Biomarker Concentrations within Acid-hydrolyzable and Base-hydrolyzable Extracts in Cores U1545, U1546, and U1547 from R/V JOIDES Resolution IODP Expedition 385 Guaymas Basin Tectonics and Biosphere between September and November 2019 (Hydrothermal and microbial controls on organic carbon mobilization from Guaymas Basin sediments)";
  }
}

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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