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Dataset Title:  [GP16 Thorium-234 Particulate] - Particulate Th-234 from in-situ pumps,
including large size fraction (> 51 um) and small size fraction (1-51 um), from
R/V Thomas G. Thompson cruise TN303 in the Eastern Tropical Pacific in 2013 (U.
S. GEOTRACES EPZT project) (U.S. GEOTRACES East Pacific Zonal Transect)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_643316)
Range: longitude = -152.0 to -77.376°E, latitude = -16.0 to -10.5°N, depth = 10.0 to 5523.4m, time = 2013-10-29T05:15Z to 2013-12-18T10:13Z
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Station_ID {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 36;
    String bcodmo_name "station";
    String description "Station number";
    String long_name "Station ID";
    String units "unitless";
  }
  Start_Date_UTC {
    String bcodmo_name "date";
    String description "Sampling start date (UTC); format: DD/MM/YYYY";
    String long_name "Start Date UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  Start_Time_UTC {
    String bcodmo_name "time";
    String description "Sampling start time (UTC); format: hh:mm";
    String long_name "Start Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.3830237e+9, 1.38736158e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Sampling start date and time formatted to ISO8601 standard: YYYY-MM-DDThh:mmZ";
    String ioos_category "Time";
    String long_name "Start ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String source_name "Start_ISO_DateTime_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  End_Date_UTC {
    String bcodmo_name "date";
    String description "Sampling end date (UTC); format: DD/MM/YYYY";
    String long_name "End Date UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  End_Time_UTC {
    String bcodmo_name "time";
    String description "Sampling end time (UTC); format: hh:mm";
    String long_name "End Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
    String units "unitless";
  }
  End_ISO_DateTime_UTC {
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Sampling end date and time formatted to ISO8601 standard: YYYY-MM-DDThh:mmZ";
    String long_name "End ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String time_precision "1970-01-01T00:00Z";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -16.0, -10.5;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Start latitude";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String source_name "Start_Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -152.0, -77.376;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Start longitude";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String source_name "Start_Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  End_Latitude {
    Float32 _FillValue NaN;
    Float32 actual_range -16.0, -10.5;
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "End latitude";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "decimal degrees North";
  }
  End_Longitude {
    Float32 _FillValue NaN;
    Float32 actual_range -152.0, -77.376;
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "End longitude";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "decimal degrees East";
  }
  Event_ID {
    Int16 _FillValue 32767;
    Int16 actual_range 4013, 4475;
    String bcodmo_name "event";
    String description "Event number";
    String long_name "Event ID";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/EVTAGFL/";
    String units "unitless";
  }
  Sample_ID {
    Int16 _FillValue 32767;
    Int16 actual_range 2083, 10457;
    String bcodmo_name "sample";
    String description "GEOTRACES sample number";
    String long_name "Sample ID";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 10.0, 5523.4;
    String axis "Z";
    String bcodmo_name "depth";
    String description "Sample depth";
    String ioos_category "Location";
    String long_name "Sample Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Th_234_LPT_CONC_PUMP_byeecv {
    Float32 _FillValue NaN;
    Float32 actual_range 0.031, 6.063;
    String bcodmo_name "trace_metal_conc";
    String description "Particulate Thorium-234 from mesh screens, filtered onto silver filters. Particle size greater than 51 um. Data were decay corrected back to mid-pump times.";
    String long_name "Th 234 LPT CONC PUMP Byeecv";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/C035/";
    String units "mBq/kg";
  }
  SD1_Th_234_LPT_CONC_PUMP_byeecv {
    Float32 _FillValue NaN;
    Float32 actual_range 0.003, 1.769;
    String bcodmo_name "trace_metal_conc";
    String description "One standard deviation of Th_234_LPT_CONC_PUMP_byeecv";
    String long_name "SD1 Th 234 LPT CONC PUMP Byeecv";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/C035/";
    String units "mBq/kg";
  }
  Flag_Th_234_LPT_CONC_PUMP_byeecv {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 9;
    String bcodmo_name "q_flag";
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String description "Quality flag for Th_234_LPT_CONC_PUMP_byeecv";
    String long_name "Flag Th 234 LPT CONC PUMP Byeecv";
    String units "unitless";
  }
  Th_234_SPT_CONC_PUMP_bm10kg {
    Float32 _FillValue NaN;
    Float32 actual_range 0.84, 26.81;
    String bcodmo_name "trace_metal_conc";
    String description "Particulate Thorium-234 from QMA filters. Particle size of 1 to 51 um. Data were decay corrected back to mid-pump times.";
    String long_name "Th 234 SPT CONC PUMP Bm10kg";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/C035/";
    String units "mBq/kg";
  }
  SD1_Th_234_SPT_CONC_PUMP_bm10kg {
    Float32 _FillValue NaN;
    Float32 actual_range 0.07, 1.79;
    String bcodmo_name "trace_metal_conc";
    String description "One standard deviation of Th_234_SPT_CONC_PUMP_bm10kg";
    String long_name "SD1 Th 234 SPT CONC PUMP Bm10kg";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/C035/";
    String units "mBq/kg";
  }
  Flag_Th_234_SPT_CONC_PUMP_bm10kg {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 9;
    String bcodmo_name "q_flag";
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String description "Quality flag for Th_234_SPT_CONC_PUMP_bm10kg";
    String long_name "Flag Th 234 SPT CONC PUMP Bm10kg";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Sampling details:  
 Super stations: approximately 24 discrete particulate Th-234 samples were
collected throughout the water column.  
 Full stations: approximately 16 discrete particulate Th-234 samples were
collected throughout the water column.  
 Hemi station: 8 discrete particulate Th-234 samples were collected from the
upper 3000 m.  
 Demi and Shelf stations: no particulate samples were collected at the demi
stations and the number of depths at the shelf stations was determined by the
depth of the water column. Between 5 and 8 discrete particulate Th-234 samples
were collected at the shelf stations.
 
Particulate material was collected using in situ McLane pumps (also see data
from Charette and Lam groups). All data were decay corrected back to the mid-
pumping times.
 
>51 um Th-234:  
 Mesh screens were provided by the Lam group.\\u00a0The whole mesh screen was
rinsed onto a 25 mm silver filter and dried down. The mean volume pumped
through the whole Supor mesh screens was 404 L.
 
1-51 um Th-234:  
 Whole QMAs, located below a mesh screen in the filter head housing, were
provided by the Lam group and oven-dried upon recovery. A 25 mm subsample was
taken from this whole filter for beta counting for Th-234. The mean effective
volume for the 25 mm QMA subsample was 41 L (1042 L for entire QMA).
 
For more information on methods and intercalibration procedures, refer to the
[GEOTRACES\\u00a0Intercalibration Report](\\\\\"https://datadocs.bco-
dmo.org/docs/302/geotraces/GEOTRACES_EPZT/buesseler/data_docs/0000-0001-7362-8796-TN303
-multiple-param-intercal-report.pdf\\\\\")\\u00a0(PDF) Supplemental File.";
    String awards_0_award_nid "643215";
    String awards_0_award_number "OCE-1232669";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1232669";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "Henrietta N Edmonds";
    String awards_0_program_manager_nid "51517";
    String awards_1_award_nid "643216";
    String awards_1_award_number "OCE-1231211";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1231211";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "Henrietta N Edmonds";
    String awards_1_program_manager_nid "51517";
    String cdm_data_type "Other";
    String comment 
"Particulate Th-234 from in-situ pumps 
  PI: Ken Buesseler (WHOI) 
  Co-PIs: Matt Charette (WHOI) & Willard Moore (University of South Carolina) 
  Version history:  
   11 June 2020 (current) - replaced with GEOTRACES DOoR/IDP formatted file. 
   20 April 2018 - data correction: changed Th_234_LPT_CONC_PUMP_unc value for GEOTRACES_SAMPNO 9970 from 0.1521 to 0.0069 per request of data submitter. 
   03 June 2016 - original version.";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String dataset_current_state "Final and no updates";
    String date_created "2016-04-19T20:26:49Z";
    String date_modified "2020-07-09T15:22:38Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.26008/1912/bco-dmo.643316.3";
    Float64 Easternmost_Easting -77.376;
    Float64 geospatial_lat_max -10.5;
    Float64 geospatial_lat_min -16.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -77.376;
    Float64 geospatial_lon_min -152.0;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 5523.4;
    Float64 geospatial_vertical_min 10.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-08T05:58:51Z (local files)
2024-11-08T05:58:51Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_643316.das";
    String infoUrl "https://www.bco-dmo.org/dataset/643316";
    String institution "BCO-DMO";
    String instruments_0_acronym "McLane Pump";
    String instruments_0_dataset_instrument_description "Particulate material was collected using in-situ McLane pumps.";
    String instruments_0_dataset_instrument_nid "644010";
    String instruments_0_description "McLane pumps sample large volumes of seawater at depth. They are attached to a wire and lowered to different depths in the ocean. As the water is pumped through the filter, particles suspended in the ocean are collected on the filters. The pumps are then retrieved and the contents of the filters are analyzed in a lab.";
    String instruments_0_instrument_name "McLane Pump";
    String instruments_0_instrument_nid "627";
    String instruments_0_supplied_name "McLane Pump";
    String instruments_1_acronym "Riso Beta Counter";
    String instruments_1_dataset_instrument_description "234Th samples were analyzed using a Riso Anti-coincidence Beta Counter using a helium/1% butane mixture.";
    String instruments_1_dataset_instrument_nid "644011";
    String instruments_1_description "Low-level beta detectors manufactured by Riso (now Nutech) in Denmark. These instruments accept samples that can be mounted on a 25mm filter holder. These detectors have very low backgrounds, 0.17 counts per minute, and can have counting efficiencies as high as 55%.";
    String instruments_1_instrument_name "Riso Laboratory Anti-coincidence Beta Counters";
    String instruments_1_instrument_nid "687";
    String instruments_1_supplied_name "Riso Laboratory Anti-coincidence Beta Counters";
    String keywords "bco, bco-dmo, biological, bm10kg, byeecv, chemical, conc, data, dataset, date, depth, dmo, end, End_Date_UTC, End_ISO_DateTime_UTC, End_Latitude, End_Longitude, End_Time_UTC, erddap, event, Event_ID, flag, Flag_Th_234_LPT_CONC_PUMP_byeecv, Flag_Th_234_SPT_CONC_PUMP_bm10kg, iso, latitude, longitude, lpt, management, oceanography, office, preliminary, pump, sample, Sample_Depth, Sample_ID, sd1, SD1_Th_234_LPT_CONC_PUMP_byeecv, SD1_Th_234_SPT_CONC_PUMP_bm10kg, spt, start, Start_Date_UTC, Start_Time_UTC, station, Station_ID, Th_234_LPT_CONC_PUMP_byeecv, Th_234_SPT_CONC_PUMP_bm10kg, time";
    String license "https://www.bco-dmo.org/dataset/643316/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/643316";
    Float64 Northernmost_Northing -10.5;
    String param_mapping "{'643316': {'Start_ISO_DateTime_UTC': 'flag - time', 'Sample_Depth': 'flag - depth', 'Start_Longitude': 'flag - longitude', 'Start_Latitude': 'flag - latitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/643316/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Kenneth O. Buesseler";
    String people_0_person_nid "50522";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI";
    String people_1_person_name "Matthew A. Charette";
    String people_1_person_nid "50931";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of South Carolina";
    String people_2_person_name "Willard S. Moore";
    String people_2_person_nid "51613";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI";
    String people_3_person_name "Erin Black";
    String people_3_person_nid "643222";
    String people_3_role "Contact";
    String people_3_role_type "related";
    String people_4_affiliation "Woods Hole Oceanographic Institution";
    String people_4_affiliation_acronym "WHOI BCO-DMO";
    String people_4_person_name "Shannon Rauch";
    String people_4_person_nid "51498";
    String people_4_role "BCO-DMO Data Manager";
    String people_4_role_type "related";
    String project "U.S. GEOTRACES EPZT,EPZT TEI Rates";
    String projects_0_acronym "U.S. GEOTRACES EPZT";
    String projects_0_description 
"From the NSF Award Abstract
The mission of the International GEOTRACES Program (www.geotraces.org), of which the U.S. chemical oceanography research community is a founding member, is \"to identify processes and quantify fluxes that control the distributions of key trace elements and isotopes in the ocean, and to establish the sensitivity of these distributions to changing environmental conditions\" (GEOTRACES Science Plan, 2006). In the United States, ocean chemists are currently in the process of organizing a zonal transect in the eastern tropical South Pacific (ETSP) from Peru to Tahiti as the second cruise of the U.S.GEOTRACES Program. This Pacific section includes a large area characterized by high rates of primary production and particle export in the eastern boundary associated with the Peru Upwelling, a large oxygen minimum zone that is a major global sink for fixed nitrogen, and a large hydrothermal plume arising from the East Pacific Rise. This particular section was selected as a result of open planning workshops in 2007 and 2008, with a final recommendation made by the U.S.GEOTRACES Steering Committee in 2009. It is the first part of a two-stage plan that will include a meridional section of the Pacific from Tahiti to Alaska as a subsequent expedition.
This award provides funding for management of the U.S.GEOTRACES Pacific campaign to a team of scientists from the University of Southern California, Old Dominion University, and the Woods Hole Oceanographic Institution. The three co-leaders will provide mission leadership, essential support services, and management structure for acquiring the trace elements and isotopes samples listed as core parameters in the International GEOTRACES Science Plan, plus hydrographic and nutrient data needed by participating investigators. With this support from NSF, the management team will (1) plan and coordinate the 52-day Pacific research cruise described above; (2) obtain representative samples for a wide variety of trace metals of interest using conventional CTD/rosette and GEOTRACES Sampling Systems; (3) acquire conventional JGOFS/WOCE-quality hydrographic data (CTD, transmissometer, fluorometer, oxygen sensor, etc) along with discrete samples for salinity, dissolved oxygen (to 1 uM detection limits), plant pigments, redox tracers such as ammonium and nitrite, and dissolved nutrients at micro- and nanomolar levels; (4) ensure that proper QA/QC protocols are followed and reported, as well as fulfilling all GEOTRACES Intercalibration protocols; (5) prepare and deliver all hydrographic-type data to the GEOTRACES Data Center (and US data centers); and (6) coordinate cruise communications between all participating investigators, including preparation of a hydrographic report/publication.
Broader Impacts: The project is part of an international collaborative program that has forged strong partnerships in the intercalibration and implementation phases that are unprecedented in chemical oceanography. The science product of these collective missions will enhance our ability to understand how to interpret the chemical composition of the ocean, and interpret how climate change will affect ocean chemistry. Partnerships include contributions to the infrastructure of developing nations with overlapping interests in the study area, in this case Peru. There is a strong educational component to the program, with many Ph.D. students carrying out thesis research within the program.
Figure 1. The 2013 GEOTRACES EPZT Cruise Track. [click on the image to view a larger version]";
    String projects_0_end_date "2015-06";
    String projects_0_geolocation "Eastern Tropical Pacific - Transect from Peru to Tahiti";
    String projects_0_name "U.S. GEOTRACES East Pacific Zonal Transect";
    String projects_0_project_nid "499723";
    String projects_0_project_website "https://www.geotraces.org/";
    String projects_0_start_date "2012-06";
    String projects_1_acronym "EPZT TEI Rates";
    String projects_1_description 
"Description from NSF award abstract:
​The goal of GEOTRACES is to identify processes and quantify fluxes that control the distribution of trace elements and isotopes (TEIs) in the ocean, and to establish the sensitivity of these distributions to changing environmental conditions. While the distribution of numerous TEIs will be mapped by a large team of GEOTRACES PIs along this transect, their distribution cannot be properly interpreted without concurrent measurement of tracers capable of providing rates of internal TEI cycling processes and fluxes at boundaries and across interfaces. Naturally-occurring radioisotopes of the Uranium-Thorium series are well suited for studying the sources and sinks of TEIs on time and space scales necessary to interpret lateral and vertical TEI distributions.
In this project, a research team from the Woods Hole Oceanographic Institution and the University of South Carolina at Columbia will carry out measurement of a suite of uranium/thorium series radionuclides on the US GEOTRACES cruise to the Eastern Tropical South Pacific (ETSP) Ocean. This radiotracer suite will include shorter-lived 234Th and 228Th as well as the radium quartet (224Ra, 223Ra, 228Ra, 226Ra), which together allow the quantification of rates of horizontal and vertical transport and mixing, as well as removal at ocean boundaries, surface export, and subsurface remineralization.";
    String projects_1_end_date "2016-05";
    String projects_1_geolocation "East Pacific";
    String projects_1_name "US GEOTRACES Pacific Zonal Transect: Rates of supply, removal and internal cycling of trace elements and isotopes";
    String projects_1_project_nid "648150";
    String projects_1_start_date "2012-12";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -16.0;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Particulate Thorium-234 from in-situ pumps, including large size fraction (> 51 \\u00b5m) and small size fraction (1-51 \\u00b5m), during the 2013 U.S. GEOTRACES cruise.";
    String time_coverage_end "2013-12-18T10:13Z";
    String time_coverage_start "2013-10-29T05:15Z";
    String title "[GP16 Thorium-234 Particulate] - Particulate Th-234 from in-situ pumps, including large size fraction (> 51 um) and small size fraction (1-51 um), from R/V Thomas G. Thompson cruise TN303 in the Eastern Tropical Pacific in 2013 (U.S. GEOTRACES EPZT project) (U.S. GEOTRACES East Pacific Zonal Transect)";
    String version "3";
    Float64 Westernmost_Easting -152.0;
    String xml_source "osprey2erddap.update_xml() v1.5";
  }
}

 

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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