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Dataset Title:  [Short-term heat stress assay Heron Island - experimental temperature data] -
Temperature data from short-term heat stress assays performed with with corals
collected from sites around Heron Island, southern Great Barrier Reef in Sept
and Oct of 2022 (Influence of environmental pH variability and thermal
sensitivity on the resilience of reef-building corals to acidification stress)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_926905_v1)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form | Files
 
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? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")
 
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[The graph you specified. Please be patient.]

 

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 {
  index {
    String long_name "Index";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  time_local {
    String long_name "Time";
    String units "unitless";
  }
  DateTime_Local {
    String long_name "Datetime_local";
    String units "unitless";
  }
  Temperature {
    Float32 actual_range 21.569, 36.187;
    String long_name "Temperature";
    String units "degrees Celsius (degC)";
  }
  day {
    Int32 actual_range 1, 30;
    String long_name "Day";
    String units "unitless";
  }
  Site {
    String long_name "Site";
    String units "unitless";
  }
  Treatment {
    String long_name "Treatment";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    String axis "T";
    String ioos_category "Time";
    String long_name "Datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
 }
  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.926905.1";
    String history 
"2024-11-13T07:31:17Z (local files)
2024-11-13T07:31:17Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_926905_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/926905";
    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 "Variable temperature regimes that expose corals to sub-lethal heat stress have been recognized as a mechanism to increase coral thermal tolerance and lessen coral bleaching. However, there is a need to better understand which thermal regimes maximize coral stress hardening. Here, standardized thermal stress assays were used to determine the relative thermal tolerance of three divergent genera of corals (Acropora, Pocillopora, Porites) originating from six reef sites representing an increasing gradient of annual mean diel temperature fluctuations of 1–3°C day-1. Bleaching severity and dark-acclimated photochemical yield (i.e., Fv/Fm) were quantified following exposure to five temperature treatments ranging from 23.0 to 36.3°C (see Related Datasets for photochemical yield). This data set contains the short-term heat stress temperature data.";
    String title "[Short-term heat stress assay Heron Island - experimental temperature data] - Temperature data from short-term heat stress assays performed with with corals collected from sites around Heron Island, southern Great Barrier Reef  in Sept and Oct of 2022 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress)";
  }
}

 

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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