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Dataset Title:	SOCHIC-SOSCEx_STORM2_Glider_Data/WG_and_timeseries_nicholson_etal_2021
Institution:	University of Gothenburg (Dataset ID: SOCHIC_SOSCEx_STORM2_Glider_Data_WG_and_timeseries_nicholson_etal_2021)
Range:	time = 2018-12-19T01:30:00Z to 2019-02-11T23:30:00Z
Information:	Summary \| License \| Metadata \| Background \| Subset \| 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:

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 1.545183e+9, 1.5499278e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Date";
    String source_name "Date";
    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";
  }
  pCO2sea_uatm {
    Float64 actual_range 392.25199999999995, 422.97333333333336;
    String long_name "P CO2sea Uatm";
  }
  pCO2atm_uatm {
    Float64 actual_range 408.836, 409.67800000000005;
    String long_name "P CO2atm Uatm";
  }
  wind_speed_WG_ms {
    Float64 _FillValue NaN;
    Float64 actual_range 2.0773605831687667, 22.620148572282123;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Wind Speed";
    String standard_name "wind_speed";
  }
  wind_speed_JRA_ms {
    Float64 actual_range 3.0240743926076776, 21.886363558216864;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Wind Speed";
    String standard_name "wind_speed";
  }
  Sea_level_pressure_JRA_mb {
    Float64 actual_range 954.0467284494, 1014.9510935038594;
    String long_name "Sea Level Pressure JRA Mb";
  }
  CO2_flux_WG_molm2day1 {
    Float64 _FillValue NaN;
    Float64 actual_range -0.007513438316060961, 0.012171092704360963;
    String long_name "CO2 Flux WG Molm2day1";
  }
  Abs_salinity_daily_WG_gkg {
    Float64 _FillValue NaN;
    Float64 actual_range 33.876162623090266, 33.949819348784736;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String long_name "Sea Water Practical Salinity";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  sst_daily_WG_degC {
    Float64 _FillValue NaN;
    Float64 actual_range 0.5472329513888886, 1.854590520833333;
    String long_name "Sst Daily WG Deg C";
  }
  DIC_WG_umolkg {
    Float64 actual_range 2161.5095892839945, 2183.5404106700807;
    String long_name "DIC WG Umolkg";
  }
  mld003_slocum_m {
    Float64 _FillValue NaN;
    Float64 actual_range 57.38217111638478, 154.55666922496158;
    String long_name "Mld003 Slocum M";
  }
  xld_slocum_m {
    Float64 _FillValue NaN;
    Float64 actual_range 10.675162822187724, 169.2540932969696;
    String long_name "Xld Slocum M";
  }
  ustar_ms {
    Float64 actual_range 0.0035319364249413883, 0.037949310127504535;
    String long_name "Ustar Ms";
  }
  eps_z_obs_m2s3 {
    Float64 actual_range 7.050687741480732e-8, 7.050687741480732e-8;
    String long_name "Eps Z Obs M2s3";
  }
  eps_z_theory_m2s3 {
    Float64 actual_range 1.632496024500714e-7, 1.632496024500714e-7;
    String long_name "Eps Z Theory M2s3";
  }
  PCO2_DIC_muatm {
    Float64 actual_range -25.31419680622303, 10.551632170391393;
    String long_name "PCO2 DIC Muatm";
  }
  PCO2_SST_muatm {
    Float64 actual_range -0.1282698808470003, 26.55287095954898;
    String long_name "PCO2 SST Muatm";
  }
  PCO2_DIC_anom_muatm {
    Float64 actual_range -10.651695259906981, 14.921919248926187;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum -10.0;
    String long_name "PCO2 DIC Anom Muatm";
  }
  Wind_stress_nm2 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.00646941435916585, 1.2299652277568829;
    String long_name "Wind Stress Nm2";
  }
  Wind_dir_deg {
    Float64 _FillValue NaN;
    Float64 actual_range 1.4166666666666667, 357.16666666666674;
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Wind From Direction";
    String standard_name "wind_from_direction";
  }
  Density {
    Float64 actual_range 1026.8927428988118, 1027.2339856642939;
    String long_name "Density";
  }
  Total_Alkalinity_mumolkg {
    Float64 actual_range 2275.866103021416, 2295.928272980779;
    String long_name "Total Alkalinity Mumolkg";
  }
  Dissolved_Inorganic_Carbon_mumolkg {
    Float64 actual_range 2161.5095892839945, 2183.5404106700807;
    String long_name "Dissolved Inorganic Carbon Mumolkg";
  }
  DIC_TA_r {
    Float64 actual_range 0.8805396823768903, 0.9113110521492525;
    String long_name "DIC TA R";
  }
  Temperature_degC {
    Float64 actual_range 0.3620733333333333, 1.9746099999999998;
    String long_name "Temperature Deg C";
  }
  Wind_Speed_JRA {
    Float64 actual_range 1.692176021881557, 22.458073910911583;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Wind Speed";
    String standard_name "wind_speed";
  }
  Wind_Dir_JRA {
    Float64 actual_range -176.1097985385736, 170.30617458801177;
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Wind From Direction";
    String standard_name "wind_from_direction";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String EDMO_code "3984";
    String history 
"2024-05-20T10:53:27Z (local files)
2024-05-20T10:53:27Z https://erddap.sochic-h2020.eu/tabledap/SOCHIC_SOSCEx_STORM2_Glider_Data_WG_and_timeseries_nicholson_etal_2021.das";
    String infoUrl "https://doi.org/10.1029/2021JC017760";
    String institution "University of Gothenburg";
    String keywords "Abs_salinity_daily_WG_gkg, alkalinity, anomaly, atmosphere, atmospheric, carbon, carbon dioxide, co2, CO2_flux_WG_molm2day1, co2atm, co2sea, daily, data, date, day, density, dic, DIC_TA_r, DIC_WG_umolkg, dioxide, direction, dissolved, Dissolved_Inorganic_Carbon_mumolkg, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Oceans > Salinity/Density > Salinity, eps, eps_z_obs_m2s3, eps_z_theory_m2s3, flux, inorganic, japanese, jra, level, local, m2s3, mld003, mld003_slocum_m, molm2day1, muatm, mumolkg, nm2, obs, observations, ocean, oceans, pco2, PCO2_DIC_anom_muatm, PCO2_DIC_muatm, PCO2_SST_muatm, pCO2atm_uatm, pCO2sea_uatm, practical, pressure, reanalysis, salinity, science, sea, Sea_level_pressure_JRA_mb, sea_water_practical_salinity, seawater, slocum, source, speed, sst, sst_daily_WG_degC, stress, surface, temperature, Temperature_degC, theory, time, total, Total_Alkalinity_mumolkg, uatm, umolkg, ustar, ustar_ms, water, wind, Wind_dir_deg, Wind_Dir_JRA, wind_from_direction, wind_speed, Wind_Speed_JRA, wind_speed_JRA_ms, wind_speed_WG_ms, Wind_stress_nm2, winds, xld, xld_slocum_m";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "CC BY-NC 4.0 https://creativecommons.org/licenses/by-nc/4.0/";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "eps_z_obs_m2s3, eps_z_theory_m2s3";
    String summary "SOCHIC-SOSCEx_STORM2_Glider_Data/WG_and_timeseries_nicholson_etal_2021";
    String time_coverage_end "2019-02-11T23:30:00Z";
    String time_coverage_start "2018-12-19T01:30:00Z";
    String title "SOCHIC-SOSCEx_STORM2_Glider_Data/WG_and_timeseries_nicholson_etal_2021";
  }
}

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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