BCO-DMO ERDDAP
Accessing BCO-DMO data

Data Access Form

Dataset Title:	[Larval Survival-Purple urchin] - Survival of larval Strongylocentrotus purpuratus under ocean warming and food availability scenarios (Collaborative Research: The effects of marine heatwaves on reproduction, larval transport and recruitment in sea urchin metapopulations)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_963422_v1)
Information:	Summary \| License \| Metadata \| Background \| Files \| Make a graph

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Variable	Minimum	Maximum
date (unitless)	"2022-08-29"	"2022-10-19"
temp (degrees Celsius)	10	20
food (cells per mL)	500	10000
rep (unitless)	1	4
count (unitless)	1	5
count_value (unitless)	0	35
avg_count (unitless)	0.0	21.2
volume (mL)	100	250
avg_bottle (unitless)	3	2120
sample_day (days)	1	26
dpf (days)	4	55

Server-side Functions

distinct()

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File type: (more information)

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  date {
    String long_name "Date";
    String units "unitless";
  }
  temp {
    Int32 actual_range 10, 20;
    String long_name "Temp";
    String units "degrees Celsius";
  }
  food {
    Int32 actual_range 500, 10000;
    String long_name "Food";
    String units "cells per mL";
  }
  rep {
    Int32 actual_range 1, 4;
    String long_name "Rep";
    String units "unitless";
  }
  count {
    Int32 actual_range 1, 5;
    String long_name "Count";
    String units "unitless";
  }
  count_value {
    Int32 actual_range 0, 35;
    String long_name "Count_value";
    String units "unitless";
  }
  avg_count {
    Float32 actual_range 0.0, 21.2;
    String long_name "Avg_count";
    String units "unitless";
  }
  volume {
    Int32 actual_range 100, 250;
    String long_name "Volume";
    String units "mL";
  }
  avg_bottle {
    Int32 actual_range 3, 2120;
    String long_name "Avg_bottle";
    String units "unitless";
  }
  sample_day {
    Int32 actual_range 1, 26;
    String long_name "Sample_day";
    String units "days";
  }
  dpf {
    Int32 actual_range 4, 55;
    String long_name "Dpf";
    String units "days";
  }
 }
  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.963422.1";
    String history 
"2025-08-14T03:09:39Z (local files)
2025-08-14T03:09:39Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963422_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/963422";
    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 tested how thermal tolerance itself can be fundamentally altered by food limitation hypothesis by quantifying how temperature and food concentrations interact synergistically to shape survival throughout larval development of purple urchins (Strongylocentrotus purpuratus). Larval sampling was conducted every two days to estimate changes in larval density and competency, in conjunction with water changes and feedings. Larval densities were quantified by concentrating larval cultures to 100 mL and counting the number of larvae found in five 1 mL subsamples. Density counts continued until larvae showed signs of metamorphosis, as determined by the presence of a rudiment and exposed tube feet.";
    String title "[Larval Survival-Purple urchin] - Survival of larval Strongylocentrotus purpuratus under ocean warming and food availability scenarios (Collaborative Research: The effects of marine heatwaves on reproduction, larval transport and recruitment in sea urchin metapopulations)";
  }
}

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.

ERDDAP, Version 2.22
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