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Dataset Title:  [Gene expression of Pocillopora damicornis] - Gene expression of Pocillopora
damicornis collected from reef of Heron Island, southern Great Barrier Reef
from Jan 2021 to Feb 2021 (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_942938_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 {
  gene_id {
    String long_name "Gene_id";
    String units "unitless";
  }
  RF13B {
    Int32 actual_range 0, 40593;
    String long_name "Rf13b";
    String units "unitless";
  }
  RF13D {
    Int32 actual_range 0, 45797;
    String long_name "Rf13d";
    String units "unitless";
  }
  RF14B {
    Int32 actual_range 0, 48115;
    String long_name "Rf14b";
    String units "unitless";
  }
  RF14C {
    Int32 actual_range 0, 35461;
    String long_name "Rf14c";
    String units "unitless";
  }
  RF15B {
    Int32 actual_range 0, 44414;
    String long_name "Rf15b";
    String units "unitless";
  }
  RF15D {
    Int32 actual_range 0, 44207;
    String long_name "Rf15d";
    String units "unitless";
  }
  RF16A {
    Int32 actual_range 0, 100162;
    String long_name "Rf16a";
    String units "unitless";
  }
  RF16C {
    Int32 actual_range 0, 76994;
    String long_name "Rf16c";
    String units "unitless";
  }
  RF17B {
    Int32 actual_range 0, 36105;
    String long_name "Rf17b";
    String units "unitless";
  }
  RF17D {
    Int32 actual_range 0, 30289;
    String long_name "Rf17d";
    String units "unitless";
  }
  RF18B {
    Int32 actual_range 0, 29505;
    String long_name "Rf18b";
    String units "unitless";
  }
  RF18D {
    Int32 actual_range 0, 27026;
    String long_name "Rf18d";
    String units "unitless";
  }
  RF19B {
    Int32 actual_range 0, 37639;
    String long_name "Rf19b";
    String units "unitless";
  }
  RF19C {
    Int32 actual_range 0, 39125;
    String long_name "Rf19c";
    String units "unitless";
  }
  RF20B {
    Int32 actual_range 0, 26785;
    String long_name "Rf20b";
    String units "unitless";
  }
  RF20C {
    Int32 actual_range 0, 38874;
    String long_name "Rf20c";
    String units "unitless";
  }
  RF22B {
    Int32 actual_range 0, 66604;
    String long_name "Rf22b";
    String units "unitless";
  }
  RF22C {
    Int32 actual_range 0, 33514;
    String long_name "Rf22c";
    String units "unitless";
  }
  RF23A {
    Int32 actual_range 0, 36523;
    String long_name "Rf23a";
    String units "unitless";
  }
  RF23C {
    Int32 actual_range 0, 38875;
    String long_name "Rf23c";
    String units "unitless";
  }
  RF24B {
    Int32 actual_range 0, 32355;
    String long_name "Rf24b";
    String units "unitless";
  }
  RF24D {
    Int32 actual_range 0, 53252;
    String long_name "Rf24d";
    String units "unitless";
  }
  RF25A {
    Int32 actual_range 0, 60189;
    String long_name "Rf25a";
    String units "unitless";
  }
  RF25C {
    Int32 actual_range 0, 37914;
    String long_name "Rf25c";
    String units "unitless";
  }
  RS11B {
    Int32 actual_range 0, 45155;
    String long_name "Rs11b";
    String units "unitless";
  }
  RS11D {
    Int32 actual_range 0, 36079;
    String long_name "Rs11d";
    String units "unitless";
  }
  RS12A {
    Int32 actual_range 0, 81921;
    String long_name "Rs12a";
    String units "unitless";
  }
  RS12C {
    Int32 actual_range 0, 85499;
    String long_name "Rs12c";
    String units "unitless";
  }
  RS13A {
    Int32 actual_range 0, 35184;
    String long_name "Rs13a";
    String units "unitless";
  }
  RS13C {
    Int32 actual_range 0, 41237;
    String long_name "Rs13c";
    String units "unitless";
  }
  RS14B {
    Int32 actual_range 0, 80186;
    String long_name "Rs14b";
    String units "unitless";
  }
  RS14C {
    Int32 actual_range 0, 96863;
    String long_name "Rs14c";
    String units "unitless";
  }
  RS15B {
    Int32 actual_range 0, 62596;
    String long_name "Rs15b";
    String units "unitless";
  }
  RS15D {
    Int32 actual_range 0, 53677;
    String long_name "Rs15d";
    String units "unitless";
  }
  RS1B {
    Int32 actual_range 0, 52092;
    String long_name "Rs1b";
    String units "unitless";
  }
  RS1C {
    Int32 actual_range 0, 54866;
    String long_name "Rs1c";
    String units "unitless";
  }
  RS2B {
    Int32 actual_range 0, 49558;
    String long_name "Rs2b";
    String units "unitless";
  }
  RS2C {
    Int32 actual_range 0, 36852;
    String long_name "Rs2c";
    String units "unitless";
  }
  RS3B {
    Int32 actual_range 0, 48437;
    String long_name "Rs3b";
    String units "unitless";
  }
  RS3D {
    Int32 actual_range 0, 53851;
    String long_name "Rs3d";
    String units "unitless";
  }
  RS6A {
    Int32 actual_range 0, 33734;
    String long_name "Rs6a";
    String units "unitless";
  }
  RS6D {
    Int32 actual_range 0, 62965;
    String long_name "Rs6d";
    String units "unitless";
  }
  RS7B {
    Int32 actual_range 0, 43786;
    String long_name "Rs7b";
    String units "unitless";
  }
  RS7C {
    Int32 actual_range 0, 83020;
    String long_name "Rs7c";
    String units "unitless";
  }
  RS8B {
    Int32 actual_range 0, 48007;
    String long_name "Rs8b";
    String units "unitless";
  }
  RS8C {
    Int32 actual_range 0, 40995;
    String long_name "Rs8c";
    String units "unitless";
  }
  RS9A {
    Int32 actual_range 0, 40481;
    String long_name "Rs9a";
    String units "unitless";
  }
  RS9C {
    Int32 actual_range 0, 53216;
    String long_name "Rs9c";
    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.942938.1";
    String history 
"2025-03-14T12:52:33Z (local files)
2025-03-14T12:52:33Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_942938_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/942938";
    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 
"Corals residing in habitats that experience frequent seawater pCO2 variability may possess an enhanced capacity to cope with ocean acidification. Yet, we lack a clear understanding of the molecular toolkit enabling acclimatization to environmental extremes, and how life-long exposure to pCO2 variability influences biomineralization. 

We examined the gene expression responses and micro-skeletal characteristics of Pocillopora damicornis originating from the reef flat and reef slope of Heron Island, southern Great Barrier Reef. The reef flat (454 ± 3.0) and reef slope (418 ± 1.9) had similar mean seawater pCO2 (µatm; mean ± SE), but the reef flat experienced twice the mean daily pCO2 amplitude (range of 797v. 399  µatm day-1, respectively). A controlled mesocosm experiment was conducted over eight weeks, from mid-January to late-March 2021, exposing P. damicornis from the reef slope and reef flat to stable (218±9) or variable (911±31) diel pCO2 fluctuations (µatm; mean ± SE). This dataset includes the gene expression data for these samples.";
    String title "[Gene expression of Pocillopora damicornis] - Gene expression of Pocillopora damicornis collected from reef of Heron Island, southern Great Barrier Reef from Jan 2021 to Feb 2021 (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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