BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[Mussel gene expression] - Gene expression data from mussels (Mytilus edulis) subjected to stable versus fluctuating temperatures from laboratory experiments conducted in 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_953794_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 {
  Species {
    String long_name "Species";
    String units "unitless";
  }
  date_local {
    String long_name "Date_local";
    String units "unitless";
  }
  Day {
    Int32 actual_range 1, 6;
    String long_name "Day";
    String units "unitless";
  }
  Temperature {
    String long_name "Temperature";
    String units "unitless";
  }
  QUBIT_QUANT {
    Float32 actual_range 50.2, 1100.0;
    String long_name "Qubit_quant";
    String units "nanograms per microliter (ng/uL)";
  }
  QUBIT_QUAL {
    Float32 actual_range 3.8, 10.0;
    String long_name "Qubit_qual";
    String units "unitless";
  }
  NANO_QUANT {
    Float32 actual_range 25.2, 1540.1;
    String long_name "Nano_quant";
    String units "nanograms per microliter (ng/uL)";
  }
  A260_to_280 {
    Float32 actual_range 1.63, 2.18;
    String long_name "A260_to_280";
    String units "unitless";
  }
  delta_delta_Ct {
    Float32 actual_range 0.432397, 9.03227;
    String long_name "Delta_delta_ct";
    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.953794.1";
    String history 
"2025-03-01T04:59:16Z (local files)
2025-03-01T04:59:16Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_953794_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/953794";
    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 
"We measured gene expression levels of blue mussels (Mytilus edulis Linneaus, 1758) under stable versus fluctuating water temperatures. Mussels were obtained from the intertidal zone at Black Point in Narragansett Bay, RI, USA (41° 24′ 4.4964″ N, 71° 27′ 43.8228″ W) and shipped in chilled coolers overnight to the lab at Carleton College in Northfild MN.  Mussels were acclimated in a recirculating seawater (Instant Ocean, Blacksburg, VA, USA) tank system (Aquaneering Inc., San Marcos, CA, USA) for 2-3 weeks at 14-16°C and fed commercial Shellfish Diet 1800 (Reed Mariculture, Campbell, CA, USA) at a rate of 5% dry mussel tissue weight day-1 
  
During our experiment, mussels were maintained for five days under one of three stable temperature treatments (e.g., 15, 20, or 25°C) or under a fluctuating temperature treatment between 15 and 25°C. On each day of the experiment, gill tissue from three mussels per temperature treatment were sampled to test for the expression of stress response (hsp70) and cellular respiration (NADH) related genes.";
    String title "[Mussel gene expression] - Gene expression data from mussels (Mytilus edulis) subjected to stable versus fluctuating temperatures from laboratory experiments conducted in 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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