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Dataset Title:  [Seagrass Blade Height] - Seagrass blade height from fish and seagrass surveys
on clusters of artificial reefs at the Abaco Islands, Bahamas in May of
2022 (Using novel ecosystem-scale experiments to quantify drivers of reef
productivity in a heavily impacted coastal ecosystem)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_922242_v1)
Range: longitude = -77.62688 to -77.00752°E
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form | Files
 
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Constraints ? Optional
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Y Axis Minimum:   Maximum:   
 
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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 {
  date {
    String long_name "Date";
    String units "unitless";
  }
  obs {
    String long_name "Obs";
    String units "unitless";
  }
  cluster {
    String long_name "Cluster";
    String units "unitless";
  }
  cluster_lat {
    Float32 actual_range 26.341, 26.91192;
    String long_name "Cluster_lat";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -77.62688, -77.00752;
    String axis "X";
    String ioos_category "Location";
    String long_name "Cluster_lon";
    String standard_name "longitude";
    String units "degrees_east";
  }
  reef {
    String long_name "Reef";
    String units "unitless";
  }
  transect {
    String long_name "Transect";
    String units "unitless";
  }
  distance {
    Int32 actual_range 1, 5;
    String long_name "Distance";
    String units "meters (m)";
  }
  subsample {
    Int32 actual_range 1, 4;
    String long_name "Subsample";
    String units "unitless";
  }
  tt_shoot_count {
    Int32 actual_range 0, 26;
    String long_name "Tt_shoot_count";
    String units "per shoot";
  }
  tt_bladeheight_1 {
    Int32 actual_range 0, 751;
    String long_name "Tt_bladeheight_1";
    String units "millimeters (mm)";
  }
  tt_bladeheight_2 {
    Int32 actual_range 7, 254;
    String long_name "Tt_bladeheight_2";
    String units "millimeters (mm)";
  }
  tt_bladeheight_3 {
    Int32 actual_range 10, 264;
    String long_name "Tt_bladeheight_3";
    String units "millimeters (mm)";
  }
  tt_bladeheight_4 {
    Int32 actual_range 5, 223;
    String long_name "Tt_bladeheight_4";
    String units "millimeters (mm)";
  }
  tt_bladeheight_5 {
    Int32 actual_range 10, 220;
    String long_name "Tt_bladeheight_5";
    String units "millimeters (mm)";
  }
  sf_shoot_count {
    Int32 actual_range 0, 9;
    String long_name "Sf_shoot_count";
    String units "per shoot";
  }
  sf_bladeheight_1 {
    Int32 actual_range 9, 206;
    String long_name "Sf_bladeheight_1";
    String units "millimeters (mm)";
  }
  sf_bladeheight_2 {
    Int32 actual_range 9, 166;
    String long_name "Sf_bladeheight_2";
    String units "millimeters (mm)";
  }
  sf_bladeheight_3 {
    Int32 actual_range 24, 155;
    String long_name "Sf_bladeheight_3";
    String units "millimeters (mm)";
  }
  sf_bladeheight_4 {
    String long_name "Sf_bladeheight_4";
    String units "millimeters (mm)";
  }
  sf_bladeheight_5 {
    String long_name "Sf_bladeheight_5";
    String units "millimeters (mm)";
  }
 }
  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.922242.1";
    Float64 Easternmost_Easting -77.00752;
    Float64 geospatial_lon_max -77.00752;
    Float64 geospatial_lon_min -77.62688;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-14T03:04:59Z (local files)
2024-11-14T03:04:59Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_922242_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/922242";
    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 "Seagrass blade height from fish and seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in May of 2022. Data are presented for two different sites: PN, which were constructed in May 2021 at the Bight of Old Robinson, Great Abaco, and CM which were constructed in May 2022 in the waters north of Little Abaco Island. At each site three clusters of nine reefs were constructed. Each cluster was separated by at least 150 m and were constructed at ~3 m depth.";
    String title "[Seagrass Blade Height] - Seagrass blade height from fish and seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in May of 2022 (Using novel ecosystem-scale experiments to quantify drivers of reef productivity in a heavily impacted coastal ecosystem)";
    Float64 Westernmost_Easting -77.62688;
  }
}

 

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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