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Dataset Title:  [North Pacific Atmospheric Particulates] - Total organic carbon content, total
nitrogen content, and carbon isotope (13C and 14C) composition of atmospheric
particulates from aerosol samples collected on the R/V Dong Fang Hong-3 in the
western North Pacific from October to December 2019 (Collaborative Research:
Characterization of Reactive Nitrogen in The North Pacific Atmosphere) Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_917642_v1)
Range: longitude = 120.2322 to 153.3331°E, time = 2019-10-31T16:30:00Z to 2019-11-29T12:00:00Z
Information:  Summary ? | License ? | 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 {
  Sample_number {
    Int32 actual_range 1, 16;
    String long_name "Sample_number";
    String units "unitless";
  }
  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 1.5725394e+9, 1.5750288e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Start_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";
  }
  Sampling_period {
    Int32 actual_range 18, 72;
    String long_name "Sampling_period";
    String units "hours (h)";
  }
  Latitude {
    Float32 actual_range 14.00056, 37.00028;
    String long_name "Latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 120.2322, 153.3331;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Total_air_volume {
    Int32 actual_range 108000, 432000;
    String long_name "Total_air_volume";
    String units "liters (L)";
  }
  Particle_weight {
    Float32 actual_range 3.4, 18.9;
    String long_name "Particle_weight";
    String units "milligrams (mg)";
  }
  Total_particulates_concentration {
    Int32 actual_range 10, 150;
    String long_name "Total_particulates_concentration";
    String units "micrograms per cubic meter (ug/m3)";
  }
  POC {
    Float32 actual_range 1.94, 6.78;
    String long_name "Poc";
    String units "percent (%)";
  }
  TN {
    Float32 actual_range 0.37, 3.4;
    String long_name "Tn";
    String units "percent (%)";
  }
  POC_d13C {
    Float32 actual_range -29.0, -25.0;
    String long_name "Poc_d13c";
    String units "per mil (‰)";
  }
  d14C {
    Int32 actual_range -892, -357;
    String long_name "D14c";
    String units "per mil (‰)";
  }
  d14C_stdev {
    Float32 actual_range 1.0, 20.5;
    String long_name "D14c_stdev";
    String units "per mil (‰)";
  }
  Age_14C {
    Int32 actual_range 3480, 17780;
    String long_name "Age_14c";
    String units "Year BP";
  }
  Age_14C_stdev {
    Int32 actual_range 35, 290;
    String long_name "Age_14c_stdev";
    String units "Year BP";
  }
 }
  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.917642.1";
    Float64 Easternmost_Easting 153.3331;
    Float64 geospatial_lon_max 153.3331;
    Float64 geospatial_lon_min 120.2322;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-06T00:09:24Z (local files)
2024-11-06T00:09:24Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_917642_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/917642";
    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.";
    String sourceUrl "(local files)";
    String summary "These data include the content of total organic carbon and total nitrogen, and carbon isotope (13C and 14C) composition of atmospheric particulates collected in the western North Pacific. On-ship aerosol sampling was conducted on the R/V Dong Fang Hong-3 during a cruise to the western North Pacific from October 31 to December 1, 2019. Sampling was conducted using two portable aerosol particle samplers (model 2030, Qingdao Laoying Environmental Technology Co.) with a filter size of 9 cm O.D. Recognizing the deposition of atmospheric particulates has the potential to further understanding of the role of atmospheric deposition in the carbon cycle and biogeochemistry in the ocean. These data assess the contribution of atmospheric deposition to organic carbon and were conducted by Prof. XuChen Wang of the Key Laboratory of Marine Chemistry Theory, Ocean University of China, Qingdao 266100, China.";
    String time_coverage_end "2019-11-29T12:00:00Z";
    String time_coverage_start "2019-10-31T16:30:00Z";
    String title "[North Pacific Atmospheric Particulates] - Total organic carbon content, total nitrogen content, and carbon isotope (13C and 14C) composition of atmospheric particulates from aerosol samples collected on the R/V Dong Fang Hong-3 in the western North Pacific from October to December 2019 (Collaborative Research: Characterization of Reactive Nitrogen in The North Pacific Atmosphere)";
    Float64 Westernmost_Easting 120.2322;
  }
}

 

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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