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Dataset Title:  [RR2201 MET data] - 1-minute averaged meteorological data from R/V Roger
Revelle cruise RR2201 in the Indian Ocean during January to March
2022 (Collaborative Research: Mesoscale variability in nitrogen sources and
food-web dynamics supporting larval southern bluefin tuna in the eastern Indian
Ocean) Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_964246_v1)
Range: longitude = 113.911 to 130.8819°E, latitude = -17.18625 to -9.770919°N, time = 2022-01-26T20:10:00Z to 2022-03-06T22:52:00Z
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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.6432278e+9, 1.64660712e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Datetime";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  GT {
    Float32 actual_range 60.9, 86346.75;
    String long_name "Gt";
    String units "seconds";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -17.18625, -9.770919;
    String axis "Y";
    String ioos_category "Location";
    String long_name "La";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 113.911, 130.8819;
    String axis "X";
    String ioos_category "Location";
    String long_name "Lo";
    String standard_name "longitude";
    String units "degrees_east";
  }
  GY {
    Float32 actual_range 0.115, 359.92;
    String long_name "Gy";
    String units "degrees";
  }
  CR {
    Float32 actual_range 0.4, 359.675;
    String long_name "Cr";
    String units "degrees";
  }
  SP {
    Float32 actual_range 0.0, 14.775;
    String long_name "Sp";
    String units "knots";
  }
  AT {
    Float32 actual_range 24.375, 33.4;
    String long_name "At";
    String units "degrees Celsius";
  }
  BP {
    Float32 actual_range 999.37, 1009.62;
    String long_name "Bp";
    String units "millibars";
  }
  RH {
    Float32 actual_range 67.15, 99.88;
    String long_name "Rh";
    String units "percent";
  }
  RT {
    Float32 actual_range 25.1225, 33.116;
    String long_name "Rt";
    String units "degrees Celsius";
  }
  DP {
    Float32 actual_range 21.6675, 27.945;
    String long_name "Dp";
    String units "degrees Celsius";
  }
  LW {
    Float32 actual_range -99.0, 500.1398;
    String long_name "Lw";
    String units "watts per square meter";
  }
  SW {
    Float32 actual_range 1.035, 1426.412;
    String long_name "Sw";
    String units "watts per square meter";
  }
  PA {
    Float32 actual_range 0.0, 4638.873;
    String long_name "Pa";
    String units "microEinsteins per second per square meter";
  }
  WS {
    Float32 actual_range 0.025, 205.125;
    String long_name "Ws";
    String units "meters per second";
  }
  WD {
    Float32 actual_range 0.2, 359.875;
    String long_name "Wd";
    String units "degrees";
  }
  TW {
    Float32 actual_range -72.65, 43.45;
    String long_name "Tw";
    String units "meters per second";
  }
  ST {
    Float32 actual_range 21.16, 31.0625;
    String long_name "St";
    String units "degrees Celsius";
  }
  SA {
    Float32 actual_range 29.504, 34.9127;
    String long_name "Sa";
    String units "PSU";
  }
  SD {
    Float32 actual_range 17.6825, 23.632;
    String long_name "Sd";
    String units "kilogram per cubic meter";
  }
  SV {
    Float32 actual_range 1525.052, 1547.351;
    String long_name "Sv";
    String units "meters per second";
  }
  OX {
    Float32 actual_range 0.0155, 5.3652;
    String long_name "Ox";
    String units "milliliters per liter";
  }
  OS {
    Float32 actual_range 4.2837, 5.123;
    String long_name "Os";
    String units "milliliters per liter";
  }
  FL {
    Float32 actual_range -0.4415, 3.472;
    String long_name "Fl";
    String units "micrograms per liter";
  }
 }
  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.964246.1";
    Float64 Easternmost_Easting 130.8819;
    Float64 geospatial_lat_max -9.770919;
    Float64 geospatial_lat_min -17.18625;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 130.8819;
    Float64 geospatial_lon_min 113.911;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-06-29T05:24:22Z (local files)
2025-06-29T05:24:22Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_964246_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/964246";
    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 -9.770919;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -17.18625;
    String summary 
"This dataset describes the 1-minute averaged meteorological data from the R/V Roger Revelle's Indian Ocean cruise RR2201 in February 2022. The data were taken within the Indonesian Throughflow, the Argo-Rowley Terrace Marine Park on a return trip from Darwin, Australia.

This project is a US contribution to the 2nd International Indian Ocean Expedition (IIOE-2) that advances understanding of biogeochemical and ecological dynamics in the poorly studied eastern Indian Ocean (IO). This is the first detailed study of nitrogen and carbon cycling in the region linking Pacific and IO waters. The end-to-end study approach highlights connections among physical environmental variability, biogeochemistry, and plankton food webs leading to charismatic and economically valuable fish production.";
    String time_coverage_end "2022-03-06T22:52:00Z";
    String time_coverage_start "2022-01-26T20:10:00Z";
    String title "[RR2201 MET data] - 1-minute averaged meteorological data from R/V Roger Revelle cruise RR2201 in the Indian Ocean during January to March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean)";
    Float64 Westernmost_Easting 113.911;
  }
}

 

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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