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Dataset Title:  [Florida and Caribbean Mangrove Geochemistry 2022-2024] - Sulfur, carbon, and
iron biogeochemistry of biomass, below ground material, and dissolved organic
matter from three mangrove ecosystems in the Caribbean and Florida collected
over two field seasons in 2022 and 2024 (Carbon Storage in Mangrove Ecosystems
via Abiotic Sulfurization)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_983803_v1)
Range: longitude = -81.75085 to -71.69677°E, latitude = 21.29705 to 26.02848°N
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 {
  site {
    String long_name "Site";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 21.29705, 26.02848;
    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 -81.75085, -71.69677;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  year {
    Int32 actual_range 2022, 2024;
    String long_name "Year";
    String units "unitless";
  }
  month {
    String long_name "Month";
    String units "unitless";
  }
  habitat {
    String long_name "Habitat";
    String units "unitless";
  }
  type {
    String long_name "Type";
    String units "unitless";
  }
  depth_bsf {
    Int32 actual_range 1, 25;
    String long_name "Depth";
    String units "m";
  }
  OC {
    Float32 actual_range 7.32274, 48.44176;
    String long_name "Oc";
    String units "percent";
  }
  OC_e {
    Float32 actual_range 0.69, 1.63;
    String long_name "Oc_e";
    String units "percent";
  }
  SC {
    Float32 actual_range 0.3363462, 6.604755;
    String long_name "Sc";
    String units "percent";
  }
  SC_e {
    Float32 actual_range 0.03505563, 0.311;
    String long_name "Sc_e";
    String units "percent";
  }
  CN {
    Float32 actual_range 7.451148, 85.74699;
    String long_name "Cn";
    String units "unitless";
  }
  CN_e {
    Float32 actual_range 1.550862, 11.8;
    String long_name "Cn_e";
    String units "unitless";
  }
  d13C {
    Float32 actual_range -29.00154, -10.61568;
    String long_name "D13c";
    String units "per mille";
  }
  d13C_e {
    Float32 actual_range 0.469, 1.26;
    String long_name "D13c_e";
    String units "per mille";
  }
  d34S {
    Float32 actual_range -20.78431, 11.04874;
    String long_name "D34s";
    String units "per mille";
  }
  d34S_e {
    Float32 actual_range 0.02225675, 1.87207;
    String long_name "D34s_e";
    String units "per mille";
  }
  pyrite_gc {
    Float32 actual_range 1.68e-5, 0.753619;
    String long_name "Pyrite_gc";
    String units "percent";
  }
  pyrite_e {
    Float32 actual_range 0.0013, 0.006;
    String long_name "Pyrite_e";
    String units "percent";
  }
  CPK {
    Float32 actual_range 0.04219924, 27.37482;
    String long_name "Cpk";
    String units "percent";
  }
  CPK_e {
    Float32 actual_range 0.62, 3.82;
    String long_name "Cpk_e";
    String units "percent";
  }
  SPK {
    Float32 actual_range 0.1132005, 3.765815;
    String long_name "Spk";
    String units "percent";
  }
  SPK_e {
    Float32 actual_range 0.05, 0.26;
    String long_name "Spk_e";
    String units "percent";
  }
  SCPK {
    Float32 actual_range 0.1230711, 2.525837;
    String long_name "Scpk";
    String units "percent";
  }
  SCPK_e {
    Float32 actual_range 0.06, 0.12;
    String long_name "Scpk_e";
    String units "percent";
  }
  CNPK {
    Float32 actual_range 6.063219, 122.1145;
    String long_name "Cnpk";
    String units "percent";
  }
  CNPK_e {
    Float32 actual_range 0.59, 11.27;
    String long_name "Cnpk_e";
    String units "percent";
  }
  d13CPK {
    Float32 actual_range -30.0995, -12.14848;
    String long_name "D13cpk";
    String units "per mille";
  }
  d13CPK_e {
    Float32 actual_range 0.203, 0.62;
    String long_name "D13cpk_e";
    String units "per mille";
  }
  d34SPK {
    Float32 actual_range -23.95431, 2.762349;
    String long_name "D34spk";
    String units "per mille";
  }
  d34SPK_e {
    Float32 actual_range 0.009673901, 2.738188;
    String long_name "D34spk_e";
    String units "per mille";
  }
  d34Spy {
    Float32 actual_range -27.06, -8.88;
    String long_name "D34spy";
    String units "per mille";
  }
  d34Spy_e {
    Float32 actual_range 0.079, 0.079;
    String long_name "D34spy_e";
    String units "per mille";
  }
  CSPK {
    Float32 actual_range 39.59084, 812.5382;
    String long_name "Cspk";
    String units "unitless";
  }
  depth_bin {
    String long_name "Depth_bin";
    String units "unitless";
  }
  surfmat {
    String long_name "Surfmat";
    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.983803.1";
    Float64 Easternmost_Easting -71.69677;
    Float64 geospatial_lat_max 26.02848;
    Float64 geospatial_lat_min 21.29705;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -71.69677;
    Float64 geospatial_lon_min -81.75085;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-11-05T19:01:29Z (local files)
2025-11-05T19:01:29Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_983803_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/983803";
    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 26.02848;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 21.29705;
    String summary "Here we provide data on the sulfur, carbon, and iron biogeochemistry of biomass, below ground material, and dissolved organic matter from three mangrove ecosystems in the Caribbean and Florida collected over two field seasons in 2022 and 2024. We provide elemental concentrations (organic C/N/S, Fe, pyrite) and isotopic compositions (δ13C, δ34S) of biomass, below ground material, and dissolved organic matter. Data will be useful for those interested in assessing organic matter sulfurization and pyrite formation in blue carbon ecosystems such as mangroves. Data will also be informative for researchers investigating organic and inorganic sulfur cycling. Samples were collected by Lena Capece and Morgan Raven, data were interpreted by Lena Capece and Morgan Raven.";
    String title "[Florida and Caribbean Mangrove Geochemistry 2022-2024] - Sulfur, carbon, and iron biogeochemistry of biomass, below ground material, and dissolved organic matter from three mangrove ecosystems in the Caribbean and Florida collected over two field seasons in 2022 and 2024 (Carbon Storage in Mangrove Ecosystems via Abiotic Sulfurization)";
    Float64 Westernmost_Easting -81.75085;
  }
}

 

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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