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Dataset Title:  [Trait Distributions I08S] - Stoichiometric traits and environmental
parameters from surface samples collected on GOSHIP expedition I08S in the
Southern Indian Ocean from February 21 to April 1, 2024 (Collaborative
Research: The stoichiometric trait distribution of the marine microbiome)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_1002701_v1)
Range: longitude = 76.6563 to 95.008°E, latitude = -67.1141 to -28.3181°N, depth = 2.4 to 5.0m, time = 2024-03-04T01:07:00Z to 2024-03-28T04:19:00Z
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 {
  WOCE_LINE {
    String long_name "Woce_line";
    String units "unitless";
  }
  Cruise_ID {
    String long_name "Cruise_id";
    String units "unitless";
  }
  EXPOCODE {
    String long_name "Expocode";
    String units "unitless";
  }
  Station {
    String long_name "Station";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 2.4, 5.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Niskin_number {
    Int32 actual_range 12, 12;
    String long_name "Niskin_number";
    String units "unitless";
  }
  Sample_Id {
    String long_name "Sample_id";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.70951442e+9, 1.71159954e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Latitude_cell_info {
    Float32 actual_range -67.1141, -28.3181;
    String long_name "Latitude_cell_info";
    String units "degrees_north";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -67.1141, -28.3181;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude_sample_log";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 76.6563, 95.008;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Cell_num {
    String long_name "Cell_num";
    String units "unitless";
  }
  C_N {
    Float32 actual_range 2.776939, 27.45207;
    String long_name "C_n";
    String units "unitless";
  }
  N_P {
    Float32 actual_range 2.598214, 7097.452;
    String long_name "N_p";
    String units "unitless";
  }
  C_P {
    Float32 actual_range 15.97959, 48477.11;
    String long_name "C_p";
    String units "unitless";
  }
  Area {
    Float32 actual_range 0.058, 19.055;
    String long_name "Area";
    String units "square microns";
  }
  Temperature {
    Float32 actual_range -0.6997, 23.653;
    String long_name "Temperature";
    String units "degrees Celsius";
  }
  Salinity {
    Float32 actual_range 33.1898, 36.0386;
    String long_name "Salinity";
    String units "unitless";
  }
  Silicate {
    Float32 actual_range 0.0, 46.53;
    String long_name "Silicate";
    String units "micromolar";
  }
  Dissolved_Iron {
    Float32 actual_range 0.009599349, 0.1674637;
    String long_name "Dissolved_iron";
    String units "nanomolar";
  }
  Ammonium {
    Float32 actual_range 0.0, 2.12;
    String long_name "Ammonium";
    String units "micromolar";
  }
  Nitrate {
    Float32 actual_range 0.0, 27.25;
    String long_name "Nitrate";
    String units "micromolar";
  }
  Nitrite {
    Float32 actual_range 0.0, 0.3;
    String long_name "Nitrite";
    String units "micromolar";
  }
  Nitrate_Nitrite {
    Float32 actual_range 0.0, 27.52;
    String long_name "Nitrate_nitrite";
    String units "micromolar";
  }
  Phosphate {
    Float32 actual_range 0.0, 1.9;
    String long_name "Phosphate";
    String units "micromolar";
  }
  Chlorophyll {
    Float32 actual_range 0.0171, 0.3547;
    String long_name "Chlorophyll";
    String units "milligrams per cubic meter (mg m-3)";
  }
  Grid_location_box_num {
    String long_name "Grid_location_box_num";
    String units "unitless";
  }
  Grid_Locations {
    String long_name "Grid_locations";
    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 defaultDataQuery "&amp;time&lt;now";
    String doi "10.26008/1912/bco-dmo.1002701.1";
    Float64 Easternmost_Easting 95.008;
    Float64 geospatial_lat_max -28.3181;
    Float64 geospatial_lat_min -67.1141;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 95.008;
    Float64 geospatial_lon_min 76.6563;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 5.0;
    Float64 geospatial_vertical_min 2.4;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2026-09-10T18:46:23Z (local files)
2026-09-10T18:46:23Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_1002701_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/1002701";
    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 -28.3181;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -67.1141;
    String summary "This dataset contains analyses collected from a broad latitudinal and environmental gradient in the southern Indian Ocean. Energy Dispersive Spectroscopy (EDS) was used to analyze biomass C:N:P of individual microbes and probability density function was applied to create distributions for each stoichiometric trait (C:N, N:P, and C:P). This dataset describes the richness, evenness, and divergence from each trait distribution. Each individual cell value is accompanied by cell area and the environmental parameters from the stations where the cells were collected. This is the first study to investigate how the environment acts on individual microbes to shape the stoichiometric trait distribution of the open ocean microbiome.";
    String time_coverage_end "2024-03-28T04:19:00Z";
    String time_coverage_start "2024-03-04T01:07:00Z";
    String title "[Trait Distributions I08S] - Stoichiometric traits and environmental parameters from surface samples collected on GOSHIP expedition I08S in the Southern Indian Ocean from February 21 to April 1, 2024 (Collaborative Research: The stoichiometric trait distribution of the marine microbiome)";
    Float64 Westernmost_Easting 76.6563;
  }
}

 

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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