BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[Mussel respiration rates] - Mussel respiration data from experiments with mussels sourced in WA conducted at University of Washington Friday Harbor Laboratories, Friday Harbor, WA from 2020 to 2023 (Collaborative Research: Microscale interactions of foundation species with their fluid environment: biological feedbacks alter ecological interactions of mussels)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_953833_v1)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

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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 {
  Year {
    String long_name "Year";
    String units "unitless";
  }
  Species {
    String long_name "Species";
    String units "unitless";
  }
  Temperature {
    Int32 actual_range 5, 29;
    String long_name "Temperature";
    String units "degrees Celsius (deg C)";
  }
  Velocity {
    Int32 actual_range 2, 20;
    String long_name "Velocity";
    String units "centimeters per second (cm s-1)";
  }
  Dry_weight {
    Float32 actual_range 0.255, 3.331;
    String long_name "Dry_weight";
    String units "milligrams (mg)";
  }
  Respiration {
    Float32 actual_range 0.38, 92.22;
    String long_name "Respiration";
    String units "micromoles of O2 per gram per hour (umol O2 g-1 h-1)";
  }
 }
  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.953833.1";
    String history 
"2025-04-03T01:22:19Z (local files)
2025-04-03T01:22:19Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_953833_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/953833";
    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 
"From 2021 to 2023, we measured aquatic respiration rates of three species of mytilid mussels (Mytilus trossulus Gould, M. galloprovincialis (L.), and M. californianus Conrad) under a range of water temperatures and velocities. M. californianus was obtained from the intertidal zone at Cattle Point, WA, USA (48.449966, -122.964350) and shipped in chilled coolers to the University of Washington Friday Harbor Laboratories (48.545998, -123.013046). M. trossulus and M. galloprovinicialis were obtained from a commercial supplier (Penn Cove Shellfish, Coupeville, WA, USA). Mussels were acclimated in a recirculating seawater.

We conducted lab experiments to investigate the effects of multiple environmental stressors (e.g., water temperature and velocity) on physiological responses in three closely-related mytilid mussel species. In closed respirometry chambers  (15 cm × 5 cm × 5 cm, L × W × H), we measured oxygen use by individual mussels under a combination of five temperatures (e.g.,  5, 11, 17, 23, and 29°C) and five velocities (2, 4, 6, 10, and 20 cm s-1) in a fully crossed design. Oxygen concentrations were measured with non-intrusive fiber-optic O2 sensors (Pyroscience, Aachen, DEU). Samples were recorded at a rate of 1 Hz and drift of the O2 probe was negligible (e.g., <0.1% over 2 h at 20°C). Trials were run for 2 h, ensuring that a stable rate of decline could be identified. After each trial, all soft tissues were dried for 72 hours at 60°C (Lindeberg/Blue M Vacuum Oven; ThermoScientific Inc., Waltham, MA, USA) and weighed using an analytical balance (0.001 g; PA153 Pioneer Analytical Balance; Ohaus Corp., Pine Brook, NJ, USA). Data were analyzed to estimate respiration rates using the R package respR (Harianto, 2019).";
    String title "[Mussel respiration rates] - Mussel respiration data from experiments with mussels sourced in WA conducted at University of Washington Friday Harbor Laboratories, Friday Harbor, WA from 2020 to 2023 (Collaborative Research: Microscale interactions of foundation species with their fluid environment: biological feedbacks alter ecological interactions of mussels)";
  }
}

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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