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Dataset Title:  [Emergence trap sampling of gnathiid isopods at Lizard Island 2016-2018] -
Emergence trap sampling of gnathiid isopods at Lizard Island, GBR, Australia
from 2016-2018 (Beyond Cleaning and Symbiosis: Ecology of 'Ticks of the Sea' on
Coral Reefs)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_886999_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 {
  Area_sampled_identifier {
    String long_name "Area_sampled_identifier";
    String units "unitless";
  }
  Sampling_date_identifier {
    String long_name "Sampling_date_identifier";
    String units "unitless";
  }
  Sampling_trip_number {
    Int32 actual_range 13, 22;
    String long_name "Sampling_trip_number";
    String units "unitless";
  }
  Trap_identity {
    Int32 actual_range 1, 30;
    String long_name "Trap_identity";
    String units "unitless";
  }
  Monthyear {
    String long_name "Monthyear";
    String units "unitless";
  }
  Site {
    String long_name "Site";
    String units "unitless";
  }
  Reef_identity {
    Int32 actual_range 1, 18;
    String long_name "Reef_identity";
    String units "unitless";
  }
  Cleaner_presence_treatment {
    String long_name "Cleaner_presence_treatment";
    String units "unitless";
  }
  Daynight {
    String long_name "Daynight";
    String units "unitless";
  }
  Vial_identity {
    String long_name "Vial_identity";
    String units "unitless";
  }
  Isopod_count {
    Int32 actual_range 0, 358;
    String long_name "Isopod_count";
    String units "unitless";
  }
  Time_of_day {
    String long_name "Time_of_day";
    String units "unitless";
  }
  Soaktime {
    Int32 actual_range 490, 1036;
    String long_name "Soaktime";
    String units "unitless";
  }
  Fullmoondate {
    String long_name "Fullmoondate";
    String units "unitless";
  }
  Lunation_number {
    Int32 actual_range 1154, 1185;
    String long_name "Lunation_number";
    String units "unitless";
  }
  Fullmoondate_number {
    Int32 actual_range 42482, 43398;
    String long_name "Fullmoondate_number";
    String units "unitless";
  }
  Day_sampled {
    Float32 actual_range 2.0, 6.0;
    String long_name "Day_sampled";
    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.886999.1";
    String history 
"2025-08-02T17:35:58Z (local files)
2025-08-02T17:35:58Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_886999_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/886999";
    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 "This dataset contains abundance data for Gnathiid isopods, as well as collection metadata. These data were collected as part of a long-term monitoring study of fish-parasitic gnathiid isopods on shallow patch reefs at Lizard Island, Great Barrier Reef, Australia. The data cover the period from 2000 to 2018. Gnathiid isopods, which spend most of their life free-living, were collected using 1-meter square by 1-meter high pyramid-shaped emergence traps placed randomly on the substrate. The total soak time for the traps was approximately 24 hours, divided into day vs night periods. Some of the patch reefs had cleaner fish, which are known predators of gnathiid isopods, removed over the course of the study (removal) while for others, cleaner fish remained (control).";
    String title "[Emergence trap sampling of gnathiid isopods at Lizard Island 2016-2018] - Emergence trap sampling of gnathiid isopods at Lizard Island, GBR, Australia from 2016-2018 (Beyond Cleaning and Symbiosis: Ecology of 'Ticks of the Sea' on Coral Reefs)";
  }
}

 

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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