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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)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_917642_v1)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Sample_number (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	16
Date (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2019-10-31"	"2019-11-29"
Start_time (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"04:00"	"16:30"
time (Start_iso_datetime_utc, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2019-10-31T16:30:00Z	2019-11-29T12:00:00Z
Sampling_period (hours (h))	!= =~ <= >= = < >		!= =~ <= >= = < >		18	72
Latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		14.00056	37.00028
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		120.2322	153.3331
Total_air_volume (liters (L))	!= =~ <= >= = < >		!= =~ <= >= = < >		108000	432000
Particle_weight (milligrams (mg))	!= =~ <= >= = < >		!= =~ <= >= = < >		3.4	18.9
Total_particulates_concentration (micrograms per cubic meter (ug/m3))	!= =~ <= >= = < >		!= =~ <= >= = < >		10	150
POC (percent (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		1.94	6.78
TN (percent (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.37	3.4
POC_d13C (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		-29.0	-25.0
d14C (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		-892	-357
d14C_stdev (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		1.0	20.5
Age_14C (Year BP)	!= =~ <= >= = < >		!= =~ <= >= = < >		3480	17780
Age_14C_stdev (Year BP)	!= =~ <= >= = < >		!= =~ <= >= = < >		35	290

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Sample_number Date Start_time time Sampling_period Latitude longitude Total_air_volume Particle_weight Total_particulates_concentration POC TN POC_d13C d14C d14C_stdev Age_14C Age_14C_stdev Sample_number Date Start_time time Sampling_period Latitude longitude Total_air_volume Particle_weight Total_particulates_concentration POC TN POC_d13C d14C d14C_stdev Age_14C Age_14C_stdev Sample_number Date Start_time time Sampling_period Latitude longitude Total_air_volume Particle_weight Total_particulates_concentration POC TN POC_d13C d14C d14C_stdev Age_14C Age_14C_stdev Sample_number Date Start_time time Sampling_period Latitude longitude Total_air_volume Particle_weight Total_particulates_concentration POC TN POC_d13C d14C d14C_stdev Age_14C Age_14C_stdev Sample_number Date Start_time time Sampling_period Latitude longitude Total_air_volume Particle_weight Total_particulates_concentration POC TN POC_d13C d14C d14C_stdev Age_14C Age_14C_stdev ")

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriCsv - Download a ISO_8859_1 .csv file for ESRI's ArcGIS 9.x and below (separate date and time columns). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .geoJson - Download longitude,latitude,otherColumns data as a UTF-8 GeoJSON .json file. .graph - View a Make A Graph web page. .help - View a web page with a description of tabledap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each response column becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a flat, table-like, NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncCF - Download a NetCDF-3 CF Discrete Sampling Geometries file (Contiguous Ragged Array). .ncCFHeader - View the UTF-8 header (the metadata) for the .ncCF file. .ncCFMA - Download a NetCDF-3 CF Discrete Sampling Geometries file (Multidimensional Array). .ncCFMAHeader - View the UTF-8 header (the metadata) for the .ncCFMA file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download longitude,latitude,time,otherColumns as an ISO-8859-1 ODV Generic Spreadsheet File (.txt). .subset - View an HTML form which uses faceted search to simplify picking subsets of the data. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .kml - View a .kml file, suitable for Google Earth. .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

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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 defaultDataQuery "&time<now";
    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 
"2024-12-03T17:37:09Z (local files)
2024-12-03T17:37:09Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_917642_v1.html";
    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;
  }
}

 

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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 Data Access Protocol (DAP) and its selection constraints.

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.

• (easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
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Tabledap request URLs must be in the form
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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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