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Dataset Title:  [GN01 Element quotas of individual phytoplankton cells] - Element quotas of
individual phytoplankton cells from samples collected on the US GEOTRACES
Arctic cruise GN01 (HLY1502) on USCGC Healy in August-October 2015 (U.S. Arctic
GEOTRACES Study (GN01))
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_904895_v1)
Range: longitude = -179.08 to 174.99°E, latitude = 60.26 to 89.99°N, time = 2015-08-12T15:54:00Z to 2015-10-05T15:08:00Z
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 {
  Run {
    String long_name "Run";
    String units "unitless";
  }
  Cruise {
    String long_name "Cruise";
    String units "unitless";
  }
  Station {
    Int32 actual_range 1, 61;
    String long_name "Station";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 60.26, 89.99;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Lat_n";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -179.08, 174.99;
    String axis "X";
    String ioos_category "Location";
    String long_name "Lon_e";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Start_time {
    String long_name "Start_time";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.43939484e+9, 1.44405768e+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";
  }
  Depth {
    Float32 actual_range -1.0, 51.9;
    String long_name "Depth";
    String units "meters (m)";
  }
  DepthDescr {
    String long_name "Depthdescr";
    String units "unitless";
  }
  ParticleSampleID {
    String long_name "Particlesampleid";
    String units "unitless";
  }
  CellType {
    String long_name "Celltype";
    String units "unitless";
  }
  MDA {
    String long_name "Mda";
    String units "unitless";
  }
  UniqueCell {
    String long_name "Uniquecell";
    String units "unitless";
  }
  GridType {
    String long_name "Gridtype";
    String units "unitless";
  }
  Volume {
    Float32 actual_range 5.17, 36630.68;
    String long_name "Volume";
    String units "cubic microns";
  }
  cellC {
    Float32 actual_range 8.42e-14, 1.67e-10;
    String long_name "Cellc";
    String units "moles";
  }
  cellSi {
    Float32 actual_range 1.66e-16, 5.72e-11;
    String long_name "Cellsi";
    String units "moles";
  }
  cellP {
    Float32 actual_range 1.79e-16, 1.91e-13;
    String long_name "Cellp";
    String units "moles";
  }
  cellS {
    Float32 actual_range 5.19e-17, 8.34e-13;
    String long_name "Cells";
    String units "moles";
  }
  cellMn {
    Float32 actual_range 4.91e-20, 7.92e-15;
    String long_name "Cellmn";
    String units "moles";
  }
  cellFe {
    Float32 actual_range 1.06e-19, 1.04e-14;
    String long_name "Cellfe";
    String units "moles";
  }
  cellCo {
    Float32 actual_range 2.68e-20, 1.01e-16;
    String long_name "Cellco";
    String units "moles";
  }
  cellNi {
    Float32 actual_range 5.22e-21, 3.09e-16;
    String long_name "Cellni";
    String units "moles";
  }
  cellCu {
    Float32 actual_range 4.26e-19, 7.29e-16;
    String long_name "Cellcu";
    String units "moles";
  }
  cellZn {
    Float32 actual_range 6.02e-19, 8.39e-15;
    String long_name "Cellzn";
    String units "moles";
  }
  cell_image_file {
    String long_name "Cell_image_file";
    String units "unitless";
  }
  spectral_file {
    String long_name "Spectral_file";
    String units "unitless";
  }
  maps_file {
    String long_name "Maps_file";
    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.904895.1";
    Float64 Easternmost_Easting 174.99;
    Float64 geospatial_lat_max 89.99;
    Float64 geospatial_lat_min 60.26;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 174.99;
    Float64 geospatial_lon_min -179.08;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-08T06:18:01Z (local files)
2024-11-08T06:18:01Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_904895_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/904895";
    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 89.99;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 60.26;
    String summary "Individual phytoplankton cells were collected on the US GEOTRACES Arctic cruise GN01 (HLY1502) on USCGC Healy in August-October 2015. The elemental (Si, P, S, Mn, Fe, Co, Ni, Cu, Zn) content of each cell was measured with synchrotron x-ray fluorescence (SXRF). Carbon was calculated from biovolume. Data can be used to assess biogenic particulate metal fraction, as well as changes in the accumulation of these elements across environmental gradients. Data are part of the larger international GEOTRACES dataset.";
    String time_coverage_end "2015-10-05T15:08:00Z";
    String time_coverage_start "2015-08-12T15:54:00Z";
    String title "[GN01 Element quotas of individual phytoplankton cells] - Element quotas of individual phytoplankton cells from samples collected on the US GEOTRACES Arctic cruise GN01 (HLY1502) on USCGC Healy in August-October 2015 (U.S. Arctic GEOTRACES Study (GN01))";
    Float64 Westernmost_Easting -179.08;
  }
}

 

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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