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Dataset Title:  [Tissue data from Keister et al. 2023] - Comparative analysis of tissue
biomass and energy reserves of six coral species from nearshore and offshore
reefs in Palau, Micronesia during March 2017 (Collaborative Research:
Stability, flexibility, and functionality of thermally tolerant coral symbioses)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_907507_v1)
Range: longitude = 134.2358 to 134.4939°E, latitude = 7.248833 to 7.3245°N
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
Constraints ? Optional
Constraint #1 ?
Optional
Constraint #2 ?
       
       
       
       
       
 
Server-side Functions ?
 distinct() ?
? ("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.")
 
Graph Settings
Marker Type:   Size: 
Color: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
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    Click on the map to specify a new center point. ?
Zoom: 
[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 {
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 7.248833, 7.3245;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 134.2358, 134.4939;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  SampleID {
    String long_name "Sampleid";
    String units "unitless";
  }
  Species {
    String long_name "Species";
    String units "unitless";
  }
  Site {
    String long_name "Site";
    String units "unitless";
  }
  Collection_Date {
    String long_name "Collection_date";
    String units "unitless";
  }
  AFDW {
    Float32 actual_range 10.89092, 75.6734;
    String long_name "Afdw";
    String units "grams";
  }
  Total_lipids {
    Float32 actual_range 0.4227733, 20.89902;
    String long_name "Total_lipids";
    String units "joules";
  }
  Surface_Area {
    Float32 actual_range 3.8397, 32.6471;
    String long_name "Surface_area";
    String units "squared centimeters (cm^2)";
  }
  Protein {
    Float32 actual_range 8.94941, 76.65082;
    String long_name "Protein";
    String units "joules";
  }
  Carbohydrate {
    Float32 actual_range 4.40398e-4, 0.107797;
    String long_name "Carbohydrate";
    String units "joules";
  }
  WAX {
    Float32 actual_range 0.6566649, 557.1183;
    String long_name "Wax";
    String units "milligrams Ash Free Dry Weight per gram (mg AFDW/g)";
  }
  TAG {
    Float32 actual_range 0.0, 19.11172;
    String long_name "Tag";
    String units "milligrams Ash Free Dry Weight per gram (mg AFDW/g)";
  }
  ST {
    Float32 actual_range 0.1281052, 18.22141;
    String long_name "St";
    String units "milligrams Ash Free Dry Weight per gram (mg AFDW/g)";
  }
  Phospholipids {
    Float32 actual_range 0.5396771, 73.48941;
    String long_name "Phospholipids";
    String units "milligrams Ash Free Dry Weight per gram (mg AFDW/g)";
  }
 }
  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.907507.1";
    Float64 Easternmost_Easting 134.4939;
    Float64 geospatial_lat_max 7.3245;
    Float64 geospatial_lat_min 7.248833;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 134.4939;
    Float64 geospatial_lon_min 134.2358;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-09-27T01:29:45Z (local files)
2024-09-27T01:29:45Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_907507_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/907507";
    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.";
    Float64 Northernmost_Northing 7.3245;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 7.248833;
    String summary "The nearshore reef habitats in Palau, Micronesia, serve as a representation of the challenges that coral populations may face in a future with warmer and more acidic oceans. Interestingly, corals inhabiting these nearshore habitats demonstrate a greater ability to withstand and recover from episodes of thermal stress compared to their offshore counterparts. In order to investigate the underlying physiological mechanisms behind this tolerance, we conducted a comparative analysis of six coral species found in both offshore and nearshore environments. Specifically, we examined parameters such as tissue biomass (ash-free dry weight cm−2), energy reserves (including protein, total lipid, and carbohydrate content), as well as several crucial lipid classes.";
    String title "[Tissue data from Keister et al. 2023] - Comparative analysis of tissue biomass and energy reserves of six coral species from nearshore and offshore reefs in Palau, Micronesia during March 2017 (Collaborative Research: Stability, flexibility, and functionality of thermally tolerant coral symbioses)";
    Float64 Westernmost_Easting 134.2358;
  }
}

 

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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