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Dataset Title:  [Moorea 2019 Acropora hyacinthus isotope data] - Acropora hyacinthus isotope
data from coral samples collected at a north shore site in Mo’orea in May
2019 (RAPID: Collaborative Research: Studies of recovery from bleaching in
Acropora hyacinthus: epigenetic shifts, impacts on reproductive biology and
carry-over effects)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_964610_v1)
Range: longitude = -149.8176 to -149.8174°E, latitude = -17.47398 to -17.47311°N, depth = 5.0 to 14.0m
Information:  Summary ? | License ? | FGDC | ISO 19115 | 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 {
  coral {
    String long_name "Coral";
    String units "unitless";
  }
  fraction {
    String long_name "Fraction";
    String units "unitless";
  }
  bleach_response {
    String long_name "Bleach_response";
    String units "unitless";
  }
  location {
    String long_name "Location";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -17.47398, -17.47311;
    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 -149.8176, -149.8174;
    String axis "X";
    String ioos_category "Location";
    String long_name "Long";
    String standard_name "longitude";
    String units "degrees_east";
  }
  dist_from_crest {
    Int32 actual_range -100, -3;
    String long_name "Dist_from_crest";
    String units "meters";
  }
  C12_0 {
    Float32 actual_range 0.00585873, 1.072126;
    String long_name "C12_0";
    String units "Percent of total fatty acids";
  }
  C14_0 {
    Float32 actual_range 2.772067, 16.00488;
    String long_name "C14_0";
    String units "Percent of total fatty acids";
  }
  C14_1 {
    Float32 actual_range 3.47863e-4, 1.229641;
    String long_name "C14_1";
    String units "Percent of total fatty acids";
  }
  C16_0 {
    Float32 actual_range 36.51866, 73.66125;
    String long_name "C16_0";
    String units "Percent of total fatty acids";
  }
  C16_1n9_ {
    Float32 actual_range 2.52646e-4, 1.829058;
    String long_name "C16_1n9_";
    String units "Percent of total fatty acids";
  }
  C16_1n7 {
    Float32 actual_range 1.134152, 5.967409;
    String long_name "C16_1n7";
    String units "Percent of total fatty acids";
  }
  C16_2 {
    Float32 actual_range 0.0, 0.3934242;
    String long_name "C16_2";
    String units "Percent of total fatty acids";
  }
  C18_0 {
    Float32 actual_range 5.30056, 28.54308;
    String long_name "C18_0";
    String units "Percent of total fatty acids";
  }
  C18_1n9 {
    Float32 actual_range 2.48459, 17.814;
    String long_name "C18_1n9";
    String units "Percent of total fatty acids";
  }
  C18_1n7 {
    Float32 actual_range 0.03597206, 2.831379;
    String long_name "C18_1n7";
    String units "Percent of total fatty acids";
  }
  C18_2n6 {
    Float32 actual_range 0.0, 1.304867;
    String long_name "C18_2n6";
    String units "Percent of total fatty acids";
  }
  C18_3n6 {
    Float32 actual_range 0.0, 3.276544;
    String long_name "C18_3n6";
    String units "Percent of total fatty acids";
  }
  C18_3n3 {
    Float32 actual_range 2.37e-5, 0.5237528;
    String long_name "C18_3n3";
    String units "Percent of total fatty acids";
  }
  C18_4n3 {
    Float32 actual_range 0.0, 7.00207;
    String long_name "C18_4n3";
    String units "Percent of total fatty acids";
  }
  C20_0 {
    Float32 actual_range 0.8453692, 3.51101;
    String long_name "C20_0";
    String units "Percent of total fatty acids";
  }
  C20_1n9 {
    Float32 actual_range 0.02123591, 2.716062;
    String long_name "C20_1n9";
    String units "Percent of total fatty acids";
  }
  C20_2 {
    Float32 actual_range 1.91e-5, 1.054363;
    String long_name "C20_2";
    String units "Percent of total fatty acids";
  }
  C20_3n6 {
    Float32 actual_range 0.001131468, 0.6276709;
    String long_name "C20_3n6";
    String units "Percent of total fatty acids";
  }
  C20_4n6 {
    Float32 actual_range 2.47602e-4, 0.4308051;
    String long_name "C20_4n6";
    String units "Percent of total fatty acids";
  }
  C20_4n3 {
    Float32 actual_range 4.83e-5, 0.5639644;
    String long_name "C20_4n3";
    String units "Percent of total fatty acids";
  }
  C20_5n3 {
    Float32 actual_range 0.0, 8.161233;
    String long_name "C20_5n3";
    String units "Percent of total fatty acids";
  }
  C22_0 {
    Float32 actual_range 0.00160734, 1.330092;
    String long_name "C22_0";
    String units "Percent of total fatty acids";
  }
  C22_1n9 {
    Float32 actual_range 0.07860145, 1.510295;
    String long_name "C22_1n9";
    String units "Percent of total fatty acids";
  }
  C23_0 {
    Float32 actual_range 5.38978e-4, 1.953623;
    String long_name "C23_0";
    String units "Percent of total fatty acids";
  }
  C22_4n6 {
    Float32 actual_range 8.12e-6, 1.962659;
    String long_name "C22_4n6";
    String units "Percent of total fatty acids";
  }
  C22_5n3 {
    Float32 actual_range 9.43665e-4, 1.203192;
    String long_name "C22_5n3";
    String units "Percent of total fatty acids";
  }
  C22_6n3 {
    Float32 actual_range 5.43131e-4, 4.424878;
    String long_name "C22_6n3";
    String units "Percent of total fatty acids";
  }
  tot_FA_per_filter {
    Float32 actual_range 4.151977, 1018.168;
    String long_name "Tot_fa_per_filter";
    String units "micrograms (µg)";
  }
  d15N {
    Float32 actual_range 1.326398, 10.23857;
    String long_name "D15n";
    String units "permill relative to atmospheric nitrogen";
  }
  d13C {
    Float32 actual_range -22.68624, -13.66989;
    String long_name "D13c";
    String units "permill relative to VPDB";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 5, 14;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  tagged_month {
    String long_name "Tagged_month";
    String units "unitless";
  }
  May_status {
    String long_name "May_status";
    String units "unitless";
  }
  August_status {
    String long_name "August_status";
    String units "unitless";
  }
  October_status {
    String long_name "October_status";
    String units "unitless";
  }
  colony_area {
    Float32 actual_range 15.935, 1651.248;
    String long_name "Colony_area";
    String units "centimeters squared (cm^2)";
  }
  C_N_ratio {
    Float32 actual_range 4.236895, 16.77789;
    String long_name "C_n_ratio";
    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.964610.1";
    Float64 Easternmost_Easting -149.8174;
    Float64 geospatial_lat_max -17.47311;
    Float64 geospatial_lat_min -17.47398;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -149.8174;
    Float64 geospatial_lon_min -149.8176;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 14.0;
    Float64 geospatial_vertical_min 5.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-08-15T23:16:52Z (local files)
2025-08-15T23:16:52Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_964610_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/964610";
    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 -17.47311;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -17.47398;
    String summary 
"Heterotrophic feeding on plankton and particulate organic matter (POM) by tropical Scleractinian corals is known to aid in the resistance and recovery from thermally induced bleaching. However, the relative importance of heterotrophy in promoting bleaching resistance and recovery is likely to vary based on ecological context and the severity of heat stress. In 2019, the Pacific Island of Mo'orea experienced mass coral mortality during a widespread marine heatwave. Many Acropora hyacinthus colonies on the shallow reef slope (5 m) were resistant to bleaching, while colonies on the deeper fore reef (14 m) often bleached and subsequently recovered, despite similar thermal stress. The role of heterotrophy in this divergent bleaching response was investigated using fatty acid, isotopic, and elemental biomarkers. Multiple complementary lines of evidence, including feeding proxies, isotopic niche overlap, and putative POM fatty acid biomarkers, indicated that bleaching resistant colonies were likely consuming more POM than their bleached and recovered counterparts. Additionally, although visually recovered, host energetics in recovered colonies remained compromised and exhibited proportionally less mono- and polyunsaturated fatty acids and less relative nitrogen than resistant colonies. We show that corals that rely more on heterotrophic nutrient acquisition can better resist thermally induced bleaching. Our results also revealed the long-term energetic costs of bleaching even after visual recovery. Ultimately, these results underscore the vital role of coral nutrition in shaping coral bleaching response and recovery.

The dataset includes coral sample ids, tissue fraction type, sampling location, relative fatty acid abundances (C12.0–C22.6n3), total fatty acids per filter, isotope ratios of nitrogen (δ15N) and carbon (δ13C), coral depth, tagging month, bleaching status across three time points in 2019 (May, August, and October), colony surface area, and carbon-to-nitrogen ratio.";
    String title "[Moorea 2019 Acropora hyacinthus isotope data] - Acropora hyacinthus isotope data from coral samples collected at a north shore site in Mo’orea in May 2019 (RAPID: Collaborative Research: Studies of recovery from bleaching in Acropora hyacinthus: epigenetic shifts, impacts on reproductive biology and carry-over effects)";
    Float64 Westernmost_Easting -149.8176;
  }
}

 

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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