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Dataset Title:	ITASE Chemistry Synthesis Group
Institution:	University of Florence, Dept. of Chemistry (Dataset ID: itase_chemistry_synthesis_group_9ivzat)
Range:	longitude = 123.0 to 168.0°E, latitude = -75.0 to -68.0°N, time = 1928-01-01T00:00:00Z to 2000-01-01T00:00:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form

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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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  station_id {
    String cf_role "timeseries_id";
    String long_name "Station Id";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Int32 actual_range -75, -68;
    String axis "Y";
    String colorBarMaximum "90.0";
    String colorBarMinimum "-90.0";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Int32 actual_range 123, 168;
    String axis "X";
    String colorBarMaximum "180.0";
    String colorBarMinimum "-180.0";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Elevation_m_a_s_l {
    Float32 actual_range 800.0, 3233.0;
    String long_name "Elevation M.a.s.l.";
  }
  Date_of_sampling {
    String long_name "Date Of Sampling";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -1.3254624e+9, 9.466848e+8;
    String axis "T";
    String ioos_category "Time";
    String long_name "Begin Time";
    String source_name "beginTime";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  endTime {
    Float64 actual_range 5.36457599e+8, 1.009843199e+9;
    String ioos_category "Time";
    String long_name "End Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Exact_time_period_covered {
    String long_name "Exact Time Period Covered";
  }
  Original_sampling_resolution {
    String long_name "Original Sampling Resolution";
  }
  Na {
    Float32 actual_range 15.49, 1103.7;
    String type_of_measurement "IC";
    String units "ug/L";
  }
  NH4 {
    Float32 _FillValue NaN;
    Float32 actual_range 1.88, 23.82;
    String colorBarMaximum "5.0";
    String colorBarMinimum "0.0";
    String type_of_measurement "IC";
    String units "ug/L";
  }
  K {
    Float32 actual_range 1.12, 47.69;
    String long_name "K";
    String type_of_measurement "IC";
    String units "ug/L";
  }
  Mg {
    Float32 actual_range 1.12, 132.71;
    String long_name "MG";
    String type_of_measurement "IC";
    String units "ug/L";
  }
  Ca {
    Float32 actual_range 1.33, 58.99;
    String long_name "Ca";
    String type_of_measurement "IC";
    String units "ug/L";
  }
  Cl {
    Float32 actual_range 30.77, 1991.2;
    String long_name "CL";
    String type_of_measurement "IC";
    String units "ug/L";
  }
  Br {
    Float32 _FillValue NaN;
    Float32 actual_range 0.43, 60.14;
    String long_name "BR";
    String type_of_measurement "IC";
    String units "ug/L";
  }
  NO3 {
    Float32 actual_range 12.13, 246.17;
    String colorBarMaximum "50.0";
    String colorBarMinimum "0.0";
    String type_of_measurement "IC";
    String units "ug/L";
  }
  SO4 {
    Float32 actual_range 0.2, 603.55;
    String long_name "SO4";
    String type_of_measurement "IC";
    String units "ug/L";
  }
  F {
    Float32 actual_range 0.15, 7.17;
    String long_name "F";
    String type_of_measurement "IC";
    String units "ug/L";
  }
  Acetate {
    Float32 _FillValue NaN;
    Float32 actual_range 4.9, 90.07;
    String long_name "Acetate";
    String type_of_measurement "IC";
    String units "ug/L";
  }
  Formate {
    Float32 _FillValue NaN;
    Float32 actual_range 4.59, 43.36;
    String long_name "Formate";
    String type_of_measurement "IC";
    String units "ug/L";
  }
  MSA {
    Float32 actual_range 2.54, 44.12;
    String long_name "MSA";
    String type_of_measurement "IC";
    String units "ug/L";
  }
  H2O2 {
    Float32 _FillValue NaN;
    Float32 actual_range 9.65, 268.84;
    String long_name "H2 O2";
    String type_of_measurement "Spectrofluorimetric FIA";
    String units "ug/L";
  }
  HCHO {
    Float32 _FillValue NaN;
    Float32 actual_range 2.88, 24.33;
    String long_name "HCHO";
    String type_of_measurement "Spectrofluorimetric FIA";
    String units "ug/L";
  }
  nssSO4 {
    Float32 actual_range 19.49, 558.29;
    String colorBarMaximum "37.0";
    String colorBarMinimum "32.0";
    String type_of_measurement "Calc. from Na content (SO4/Na sea water= 0.253)";
    String units "ug/L";
  }
  Comments {
    String long_name "Comments";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station_id,latitude,longitude";
    String contributor_email "silvia.becagli@unifi.it";
    String contributor_institution "University of Florence, Dept. of Chemistry";
    String contributor_name "Silvia Becagli, Rita Traversi, Mirko Severi";
    String Conventions "COARDS, CF-1.10, ACDD-1.3, NCCSV-1.2";
    String creator_email "silvia.becagli@unifi.it";
    String creator_name "University of Florence";
    String creator_type "institution";
    String creator_url "https://doi.org/10.3189/172756405781813320";
    Float64 Easternmost_Easting 168.0;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max -68.0;
    Float64 geospatial_lat_min -75.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 168.0;
    Float64 geospatial_lon_min 123.0;
    String geospatial_lon_units "degrees_east";
    String history 
"Comparing snow chemistry at different sites: GPS2, 31Dpt, M2, MPTA , D2, D4A, D6, Dome C, D66, GV1, GV2, GV3, GV4, GV5, GV7, Talos Dome, Prietsley Névé Styx Glacier, McCarthy Ridge, Hercules Névé, Rennik Glacier, Pilot Glacier, Bowers Glacier, Prince Albert, Niggly Névé, Evans Névé, Mt Melbourn transect, Reeves Nevé transect, Rennick Glacier transect
2024-11-06T09:33:20Z (local files)
2024-11-06T09:33:20Z https://er1.s4oceanice.eu/tabledap/itase_chemistry_synthesis_group_9ivzat.das";
    String infoUrl "https://doi.org/10.3189/172756405781813320";
    String institution "University of Florence,  Dept. of Chemistry";
    String keywords "acetate, ammonia, ammonium, begin, chemistry, comments, concentration, covered, data, date, Date_of_sampling, density, earth, Earth Science > Oceans > Ocean Chemistry > Ammonia, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Salinity/Density > Salinity, elevation, Elevation_m_a_s_l, end, endTime, exact, Exact_time_period_covered, florence, formate, group, H2O2, hcho, itase, latitude, longitude, m.a.s.l, mole, mole_concentration_of_ammonium_in_sea_water, mole_concentration_of_nitrate_in_sea_water, msa, n02, nh4, nitrate, no3, nssSO4, O2, ocean, oceans, original, Original_sampling_resolution, oxygen, period, practical, resolution, salinity, sampling, science, sea, sea_water_practical_salinity, seawater, so4, station, station_id, synthesis, time, university, water";
    String keywords_vocabulary "GCMD Science Keywords";
    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 -68.0;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -75.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "An updated compilation of published and new data of major-ion (Ca, Cl, K, Mg, Na, NO3, SO4) and methylsulfonate (MS) concentrations in snow from 520 Antarctic sites is provided by the national ITASE (International Trans-Antarctic Scientific Expedition) programmes of Australia, Brazil, China, Germany, Italy, Japan, Korea, New Zealand, Norway, the United Kingdom, the United States and the national Antarctic programme of Finland.";
    String time_coverage_end "2000-01-01T00:00:00Z";
    String time_coverage_start "1928-01-01T00:00:00Z";
    String title "ITASE Chemistry Synthesis Group";
    Float64 Westernmost_Easting 123.0;
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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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