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Dataset Title:  [Specific Dynamic Action of larval grunion - Experiments 2a and 2b] -
Differences in mean oxygen consumption of fed and unfed larvae used to
understand the metabolic cost of digestion, Specific Dynamic Action (SDA),
under ocean acidification and warming treatments - Experiments 2a and 2b (RUI:
Evaluating selection via ocean acidification and evolutionary responses of two
coastal fishes)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_924613_v1)
Information:  Summary ? | License ? | Metadata | Background (external link) | 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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  experiment_ID {
    String long_name "Experiment_id";
    String units "unitless";
  }
  DPH {
    Int32 actual_range 3, 12;
    String long_name "Dph";
    String units "days";
  }
  deltaVO2 {
    Float32 actual_range -0.003133784, 0.008481112;
    String long_name "Deltavo2";
    String units "milligrams O2 per liter per hour";
  }
  deltaVO2_SE {
    Float32 actual_range 2.826511e-4, 0.003989961;
    String long_name "Deltavo2_se";
    String units "milligrams O2 per liter per hour";
  }
  temperature {
    Float32 actual_range 15.4, 28.6;
    String long_name "Temperature";
    String units "degrees Celsius";
  }
  OA_treat {
    String long_name "Oa_treat";
    String units "unitless";
  }
  pCO2 {
    Int32 actual_range 285, 1097;
    String long_name "Pco2";
    String units "microatmospheres";
  }
  time_elapsed {
    Float32 actual_range 0.88, 24.08;
    String long_name "Time_elapsed";
    String units "hours";
  }
 }
  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.924613.1";
    String history 
"2024-11-21T15:46:27Z (local files)
2024-11-21T15:46:27Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_924613_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/924613";
    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 "These data include the differences in mean oxygen consumption of fed and unfed larvae used to understand the metabolic cost of digestion, Specific Dynamic Action (SDA), under ocean acidification and warming treatments. Data was collected in the summers of 2021 and 2022 using a microplate reader system that uses optical fluorescence to measure dissolved oxygen concentrations in water. Knowing the energetic cost of digestion under future climate change is important as studies, particularly on larval fish, begin to investigate how energy budgets will change. These data help us to understand an important part of daily metabolic costs and how that cost might change under ocean acidification and warming. Data were collected by Emma Siegfried and Dr. Darren Johnson at California State University, Long Beach. These data are from experiments 2a and 2b. Experiment 2a contains delta VO2 values to describe the SDA curve for a single feeding under 4 experimental treatments (low temperature & low CO2; low temperature & high CO2; high temperature & low CO2; high temperature & high CO2). In experiment 2a, food ration was increased at high temperatures. Experiment 2b contains delta VO2 values to describe the SDA curve for a single feeding under the same 4 experimental treatments, except that food ration was held constant across all temperature and CO2 treatments.";
    String title "[Specific Dynamic Action of larval grunion - Experiments 2a and 2b] - Differences in mean oxygen consumption of fed and unfed larvae used to understand the metabolic cost of digestion, Specific Dynamic Action (SDA), under ocean acidification and warming treatments - Experiments 2a and 2b (RUI: Evaluating selection via ocean acidification and evolutionary responses of two coastal fishes)";
  }
}

 

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.

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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