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Dataset Title:  [BAIT Bottle Data from Trace-metal CTD Casts] - Concentrations of trace metals
and dissolved macronutrients and CTD sensor data from four cruises in the
Bermuda Atlantic Time-series Study (BATS) region in March, May, August and
November 2019 (NSFGEO-NERC: Collaborative Research: Using Time-series Field
Observations to Constrain an Ocean Iron Model)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_937302_v1)
Range: longitude = -64.815 to -63.58°E, latitude = 31.177 to 32.151°N, depth = 0.3 to 1677.5m, time = 2019-03-11T13:12:53Z to 2019-11-21T15:00:38Z
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 {
  Cruise_ID {
    String long_name "Cruise_id";
    String units "unitless";
  }
  Station {
    String long_name "Station";
    String units "unitless";
  }
  Sample_ID {
    String long_name "Sample_id";
    String units "unitless";
  }
  Pressure {
    Float32 actual_range 20.3, 1701.2;
    String long_name "Pressure";
    String units "decibars";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.3, 1677.5;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 31.177, 32.151;
    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 -64.815, -63.58;
    String axis "X";
    String ioos_category "Location";
    String long_name "Long";
    String standard_name "longitude";
    String units "degrees_east";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.552309973e+9, 1.574348438e+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";
  }
  Date_UTC {
    String long_name "Date_utc";
    String units "unitless";
  }
  Time_UTC {
    String long_name "Time_utc";
    String units "unitless";
  }
  Temp {
    Float32 actual_range 4.08, 28.15;
    String long_name "Temp";
    String units "degrees Celsius";
  }
  Sal {
    Float32 actual_range 34.947, 37.024;
    String long_name "Sal";
    String units "unitless";
  }
  Chl {
    Float32 actual_range -0.13, 0.67;
    String long_name "Chl";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  O2 {
    Float32 actual_range 111.0, 250.8;
    String long_name "O2";
    String units "micromoles per kilogram (umol/kg)";
  }
  Sigma_theta {
    Float32 actual_range 23.23, 27.78;
    String long_name "Sigma_theta";
    String units "unitless";
  }
  DFe {
    Float32 actual_range 0.08, 3.61;
    String long_name "Dfe";
    String units "nanomoles per liter (nM)";
  }
  DFe_Flag {
    Int32 actual_range 1, 4;
    String long_name "Dfe_flag";
    String units "unitless";
  }
  sFe {
    Float32 actual_range 0.03, 19.14;
    String long_name "Sfe";
    String units "nanomoles per liter (nM)";
  }
  sFe_Flag {
    Int32 actual_range 1, 5;
    String long_name "Sfe_flag";
    String units "unitless";
  }
  DMn {
    Float32 actual_range 0.15, 3.27;
    String long_name "Dmn";
    String units "nanomoles per liter (nM)";
  }
  DMn_Flag {
    Int32 actual_range 1, 4;
    String long_name "Dmn_flag";
    String units "unitless";
  }
  sMn {
    Float32 actual_range 0.15, 3.9;
    String long_name "Smn";
    String units "nanomoles per liter (nM)";
  }
  sMn_Flag {
    Int32 actual_range 1, 4;
    String long_name "Smn_flag";
    String units "unitless";
  }
  DAl {
    Float32 actual_range 13.1, 40.5;
    String long_name "Dal";
    String units "nanomoles per liter (nM)";
  }
  DAl_Flag {
    Int32 actual_range 1, 4;
    String long_name "Dal_flag";
    String units "unitless";
  }
  NO3_plus_NO2 {
    Float32 actual_range 0.07, 24.22;
    String long_name "No3_plus_no2";
    String units "micromoles per kilogram (umol/kg)";
  }
  NO3_plus_NO2_Flag {
    Int32 actual_range 1, 5;
    String long_name "No3_plus_no2_flag";
    String units "unitless";
  }
  PO4 {
    Float32 actual_range 0.02, 1.45;
    String long_name "Po4";
    String units "micromoles per kilogram (umol/kg)";
  }
  PO4_Flag {
    Int32 actual_range 1, 5;
    String long_name "Po4_flag";
    String units "unitless";
  }
  Si {
    Float32 actual_range 0.43, 14.61;
    String long_name "Si";
    String units "micromoles per kilogram (umol/kg)";
  }
  Si_Flag {
    Int32 actual_range 1, 4;
    String long_name "Si_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.937302.1";
    Float64 Easternmost_Easting -63.58;
    Float64 geospatial_lat_max 32.151;
    Float64 geospatial_lat_min 31.177;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -63.58;
    Float64 geospatial_lon_min -64.815;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1677.5;
    Float64 geospatial_vertical_min 0.3;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-08T06:02:53Z (local files)
2024-11-08T06:02:53Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_937302_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/937302";
    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 32.151;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 31.177;
    String summary "These data include the concentrations of trace metals (dissolved and soluble iron, dissolved and soluble manganese, dissolved aluminum) and dissolved macronutrients (nitrate+nitrite, phosphate, reactive silicate) determined in water-column samples collected using a trace-metal clean CTD rosette, or an inflatable dinghy, during four cruises in the Bermuda Atlantic Time-series Study (BATS) region in March, May, August and November 2019. Also presented are CTD sensor data (pressure, temperature, salinity, chlorophyll fluorescence, dissolved oxygen) and derived variables (water depth, density) corresponding to the CTD-rosette bottle samples. The samples and associated data were collected for the BAIT project (GEOTRACES Process Study GApr13). Post-cruise sample analyses were performed at Old Dominion University (trace metals) and the Bermuda Institute of Ocean Sciences (macronutrients).";
    String time_coverage_end "2019-11-21T15:00:38Z";
    String time_coverage_start "2019-03-11T13:12:53Z";
    String title "[BAIT Bottle Data from Trace-metal CTD Casts] - Concentrations of trace metals and dissolved macronutrients and CTD sensor data from four cruises in the Bermuda Atlantic Time-series Study (BATS) region in March, May, August and November 2019 (NSFGEO-NERC: Collaborative Research: Using Time-series Field Observations to Constrain an Ocean Iron Model)";
    Float64 Westernmost_Easting -64.815;
  }
}

 

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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