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Dataset Title:  [GP17-OCE Dissolved Fe and Mn] - Concentrations of dissolved iron and
manganese determined in water-column and near-surface seawater samples
collected on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) in
the South Pacific and Southern Oceans from Dec 2022 to Jan 2023 (US GEOTRACES
GP17 Section: South Pacific and Southern Ocean (GP17-OCE))
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_986862_v1)
Range: longitude = -152.0 to -75.1°E, latitude = -67.01 to -20.0°N, depth = 2.0 to 5621.2m
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 {
  Station {
    Float32 actual_range 1.0, 38.0;
    String long_name "Station";
    String units "unitless";
  }
  GEOTRACES_Sample_ID {
    Int32 actual_range 15907, 18751;
    String long_name "Geotraces_sample_id";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -67.01, -20.0;
    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 -152.0, -75.1;
    String axis "X";
    String ioos_category "Location";
    String long_name "Long_e";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Seafloor_Depth_m {
    Int32 actual_range -999, 5635;
    String long_name "Seafloor_depth_m";
    String units "meters (m)";
  }
  Sample_P_dbar {
    Float32 actual_range 1.0, 5737.2;
    String long_name "Sample_p_dbar";
    String units "decibar";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 2.0, 5621.2;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Sample_depth_m";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  DFe_FIA_nM {
    Float32 actual_range 0.03, 1.85;
    String long_name "Dfe_fia_nm";
    String units "nanomole per liter";
  }
  SD_DFe_FIA_nM {
    Float32 actual_range 0.0, 1.24;
    String long_name "Sd_dfe_fia_nm";
    String units "nanomole per liter";
  }
  DFe_FIA_Flag {
    String long_name "Dfe_fia_flag";
    String units "unitless";
  }
  DFe_ICP_nM {
    Float32 actual_range 0.0, 2.99;
    String long_name "Dfe_icp_nm";
    String units "nanomole per liter";
  }
  SD_DFe_ICP_nM {
    Float32 actual_range 0.0, 0.13;
    String long_name "Sd_dfe_icp_nm";
    String units "nanomole per liter";
  }
  DFe_ICP_Flag {
    String long_name "Dfe_icp_flag";
    String units "unitless";
  }
  DMn_ICP_nM {
    Float32 actual_range 0.03, 2.26;
    String long_name "Dmn_icp_nm";
    String units "nanomole per liter";
  }
  SD_DMn_ICP_nM {
    Float32 actual_range 0.0, 0.09;
    String long_name "Sd_dmn_icp_nm";
    String units "nanomole per liter";
  }
  DMn_ICP_Flag {
    String long_name "Dmn_icp_flag";
    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.986862.1";
    Float64 Easternmost_Easting -75.1;
    Float64 geospatial_lat_max -20.0;
    Float64 geospatial_lat_min -67.01;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -75.1;
    Float64 geospatial_lon_min -152.0;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 5621.2;
    Float64 geospatial_vertical_min 2.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-12-16T12:39:57Z (local files)
2025-12-16T12:39:57Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_986862_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/986862";
    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 -20.0;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -67.01;
    String summary "These data comprise the concentrations of dissolved iron and manganese determined in water-column and near-surface seawater samples, collected using a trace-metal clean CTD rosette or underway towfish sampler, respectively, during U.S. GEOTRACES cruise GP17-OCE (R/V Roger Revelle cruise RR2214). The dissolved iron data include shipboard measurements made using flow-injection analysis, and post-cruise measurements made using inductively-coupled plasma mass spectrometry, whereas the dissolved manganese data include only post-cruise measurements made using inductively-coupled plasma mass spectrometry.";
    String title "[GP17-OCE Dissolved Fe and Mn] - Concentrations of dissolved iron and manganese determined in water-column and near-surface seawater samples collected on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) in the South Pacific and Southern Oceans from Dec 2022 to Jan 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE))";
    Float64 Westernmost_Easting -152.0;
  }
}

 

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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