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Dataset Title:	[Ocean warming & acidification experiment: Acartia tonsa population fitness] - Population fitness measurements collected for Acartia tonsa during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_923908_v1)
Information:	Summary \| License \| Metadata \| Background \| 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:

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 {
  Generation {
    Int32 actual_range 0, 25;
    String long_name "Generation";
    String units "unitless";
  }
  Treatment {
    Int32 actual_range 1, 4;
    String long_name "Treatment";
    String units "unitless";
  }
  Rep {
    Int32 actual_range 1, 4;
    String long_name "Rep";
    String units "unitless";
  }
  lambda {
    Float32 actual_range 0.0, 1.470971;
    String long_name "Lambda";
    String units "per generation";
  }
  surv {
    Float32 actual_range 0.08, 1.0;
    String long_name "Surv";
    String units "unitless";
  }
  epr {
    Float32 actual_range 0.0, 99.0;
    String long_name "Epr";
    String units "eggs per female per day";
  }
  hf {
    Float32 actual_range 0.0, 1.0;
    String long_name "Hf";
    String units "nauplii per number of eggs laid";
  }
  sex {
    Float32 actual_range 0.1666667, 0.8571429;
    String long_name "Sex";
    String units "females per total copepods";
  }
  dev_time {
    Int32 actual_range 8, 15;
    String long_name "Dev_time";
    String units "days to adulthood";
  }
  lambda_stand {
    Float32 actual_range -3.218826, 2.116681;
    String long_name "Lambda_stand";
    String units "unitless";
  }
  surv_stand {
    Float32 actual_range -1.394433, 1.390444;
    String long_name "Surv_stand";
    String units "unitless";
  }
  epr_stand {
    Float32 actual_range -2.497801, 2.943856;
    String long_name "Epr_stand";
    String units "unitless";
  }
  hf_stand {
    Float32 actual_range -3.112601, 2.477378;
    String long_name "Hf_stand";
    String units "unitless";
  }
  sex_stand {
    String long_name "Sex_stand";
    String units "unitless";
  }
  dev_stand {
    Float32 actual_range -1.390444, 1.394433;
    String long_name "Dev_stand";
    String units "unitless";
  }
  lambda_rel {
    Float32 actual_range 0.0, 5.173929;
    String long_name "Lambda_rel";
    String units "unitless";
  }
  surv_rel {
    Float32 actual_range 0.1714286, 2.205882;
    String long_name "Surv_rel";
    String units "unitless";
  }
  epr_rel {
    Float32 actual_range 0.0, 5.096154;
    String long_name "Epr_rel";
    String units "unitless";
  }
  hf_rel {
    Float32 actual_range 0.0, 5.882353;
    String long_name "Hf_rel";
    String units "unitless";
  }
  sex_rel {
    Int32 actual_range 1, 1;
    String long_name "Sex_rel";
    String units "unitless";
  }
  dev_rel {
    Float32 actual_range 0.75, 1.21875;
    String long_name "Dev_rel";
    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.923908.1";
    String history 
"2024-09-20T20:39:46Z (local files)
2024-09-20T20:39:46Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_923908_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/923908";
    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 population fitness measurements collected for Acartia tonsa during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were estimated as the population net reproductive rate collected every third generation between F0 and F15 and at F25 for all treatments. These data were estimated via age-structured leslie matrices using the existing survival, fecundity (egg production and hatching success), development time, and sex ratio data for this experiment.";
    String title "[Ocean warming & acidification experiment: Acartia tonsa population fitness] - Population fitness measurements collected for Acartia tonsa during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification)";
  }
}

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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