BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[Shell dissolution rates 2020-2023] - Shell dissolution rates of Mytilus trossulus and Mytilus californianus from Penn Cove, WA, and Carmet Beach, CA, collected January 2020–December 2023 (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_1006705_v1)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

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Constraints	Optional Constraint #1		Optional Constraint #2

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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 {
  shell_number {
    String long_name "Shell_number";
    String units "unitless";
  }
  treatment {
    String long_name "Treatment";
    String units "unitless";
  }
  species {
    String long_name "Species";
    String units "unitless";
  }
  paint_treatment {
    String long_name "Paint_treatment";
    String units "unitless";
  }
  G {
    Float32 actual_range -0.3879304, 0.01939256;
    String long_name "G";
    String units "umol/hr/g";
  }
  OmegaAragonite {
    Float32 actual_range 0.05954122, 9.03355;
    String long_name "Omegaaragonite";
    String units "unitless";
  }
  duration {
    Float32 actual_range 42.23333, 115.3833;
    String long_name "Duration";
    String units "hours";
  }
  shell_wt {
    Float32 actual_range 2.2, 33.08;
    String long_name "Shell_wt";
    String units "g";
  }
  shell_length {
    Float32 actual_range 43.1, 74.7;
    String long_name "Shell_length";
    String units "mm";
  }
 }
  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.1006705.1";
    String history 
"2026-09-10T18:46:22Z (local files)
2026-09-10T18:46:22Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_1006705_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/1006705";
    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 mussels display differential habitat preferences, with species like Mytilus californianus favoring fully saline environments and Mytilus trossulus inhabiting sites with greater freshwater input. Determining abiotic dissolution rates of these species under ocean acidification is essential for predicting future consequences of climate change for coastal populations. We examined shell dissolution rates of these congeners under a range of pH (6.5-9.3) and aragonite saturation states (0.1-9.0). We additionally quantified experimentally the relative importance of dissolution from interior versus exterior shell surfaces. M. trossulus obtained from Penn Cove, WA exhibited 4x higher shell dissolution rates than M. californianus collected from Carmet Beach, CA. When the shell interior was sealed against seawater exposure, dissolution rates decreased significantly in both species, indicating high abiotic dissolution on the shell interior. Results demonstrate that dissolution rates can vary between congeners inhabiting the same biogeographic region. Our finding that freshwater-tolerant M. trossulus has higher abiotic dissolution under ocean acidification is important because low salinity may further slow calcification, altering future intertidal population structure along freshwater-influenced coastlines.";
    String title "[Shell dissolution rates 2020-2023] - Shell dissolution rates of Mytilus trossulus and Mytilus californianus from Penn Cove, WA, and Carmet Beach, CA, collected January 2020–December 2023 (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry)";
  }
}

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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