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Dataset Title:	SOCHIC-SOSCEx_STORM2_Glider_Data/PP_satelitte_slocum
Institution:	University of Gothenburg (Dataset ID: SOCHIC_SOSCEx_STORM2_Glider_Data_PP_satelitte_slocum)
Range:	longitude = 0.0 to 0.0°E, latitude = -54.0 to -54.0°N, time = 2018-01-01T00:00:00Z to 2019-12-01T00:00:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| Data Access Form \| Files

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Server-side Functions

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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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5147648e+9, 1.5751584e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String format "datetime64[ns]";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -54.0, -54.0;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float64 valid_max 90.0;
    Float64 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 0.0;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_max 180.0;
    Float64 valid_min -180.0;
  }
  platt {
    Float64 _FillValue NaN;
    Float64 actual_range 241.9731547982643, 418.0294167372044;
    Float64 alpha_exponent 0.8374844040407528;
    Float64 alpha_slope 0.6812925290683156;
    String doi "10.1029/93JC01001";
    String long_name "Primary Production Using Platt Model";
    Float64 missing_value NaN;
    Float64 pmax_exponent 0.9284643567849273;
    Float64 pmax_slope 41.80544901302045;
    String references "platt_et_al_1993";
    String standard_name "platt primary production";
    String units "mg C m^-2 d^-1";
  }
  cbpm {
    Float64 _FillValue NaN;
    Float64 actual_range 62.40691187166554, 667.6357553539552;
    String doi "10.1029/2004GB002299";
    String long_name "Primary Production Using Cbpm Model";
    Float64 missing_value NaN;
    String references "behrenfeld_et_al_2005";
    String standard_name "cbpm";
    String units "mg C m^-2 d^-1";
    String wavelength "443nm";
  }
  eppley {
    Float64 _FillValue NaN;
    Float64 actual_range 79.55591023611541, 170.09713648724548;
    String long_name "Primary Production Using Eppley Model";
    Float64 missing_value NaN;
    String standard_name "eppley vgpm";
    String units "mg C m^-2 d^-1";
  }
  vgpm {
    Float64 _FillValue NaN;
    Float64 actual_range 84.62158544184521, 183.53448122385828;
    String doi "10.4319/lo.1997.42.1.0001";
    String long_name "Primary Production Using Vgpm Model";
    Float64 missing_value NaN;
    String references "behrenfeld_and_falkowski_1997";
    String standard_name "vgpm";
    String units "mg C m^-2 d^-1";
  }
  mean_pp {
    Float64 _FillValue NaN;
    Float64 actual_range 129.4833739834728, 345.0085752577468;
    String long_name "Primary Production Average Of All Models";
    Float64 missing_value NaN;
    String standard_name "mean pp";
    String units "mg C m^-2 d^-1";
  }
  pp_newmean {
    Float64 _FillValue NaN;
    Float64 actual_range 140.62870044875305, 412.19980870526507;
    String long_name "Pp Newmean";
    Float64 missing_value NaN;
  }
 }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.6.3,hdf5=1.10.2";
    String cdm_data_type "Point";
    String Conventions "CF-1.8, COARDS, ACDD-1.3";
    Float64 Easternmost_Easting 0.0;
    String EDMO_code "3984";
    String featureType "Point";
    Float64 geospatial_lat_max -54.0;
    Float64 geospatial_lat_min -54.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 0.0;
    Float64 geospatial_lon_min 0.0;
    String geospatial_lon_units "degrees_east";
    String history 
"2020-08-14 21:40:27.403221 Python
2024-05-20T10:21:54Z (local files)
2024-05-20T10:21:54Z https://erddap.sochic-h2020.eu/tabledap/SOCHIC_SOSCEx_STORM2_Glider_Data_PP_satelitte_slocum.das";
    String infoUrl "https://doi.org/10.1029/2021JC017760";
    String institution "University of Gothenburg";
    String keywords "all, average, cbpm, data, eppley, eppley vgpm, latitude, local, longitude, mean, mean pp, mean_pp, model, models, newmean, platt, platt primary production, pp_newmean, primary, production, source, time, using, vgpm";
    String license "CC BY-NC 4.0 https://creativecommons.org/licenses/by-nc/4.0/";
    Float64 Northernmost_Northing -54.0;
    String PI_Contact "tryankeogh@csir.co.za";
    String PI_Name "Thomas Ryan-Keogh";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -54.0;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "latitude, longitude";
    String summary "SOCHIC-SOSCEx_STORM2_Glider_Data/PP_satelitte_slocum";
    String time_coverage_end "2019-12-01T00:00:00Z";
    String time_coverage_start "2018-01-01T00:00:00Z";
    String title "SOCHIC-SOSCEx_STORM2_Glider_Data/PP_satelitte_slocum";
    Float64 Westernmost_Easting 0.0;
  }
}

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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