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Dataset Title:  AWQMS Feeagh (CO2)   RSS
Institution:  Marine Institute   (Dataset ID: imifeeaghco2)
Range: longitude = -9.577292 to -9.577292°E, latitude = 53.949368 to 53.949368°N
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form
Graph Type:  ?
X Axis: 
Y Axis: 
-1 +1
Constraints ? Optional
Constraint #1 ?
Constraint #2 ?
Server-side Functions ?
 distinct() ?
? (" ")
Graph Settings
Marker Type:   Size: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   Ascending: 
(Please be patient. It may take a while to get the data.)
Then set the File Type: (File Type information)
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Time range:           -    +       
[The graph you specified. Please be patient.]


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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  station_name {
    String cf_role "timeseries_id";
    String ioos_category "Unknown";
    String long_name "Station Name";
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 53.949366, 53.949366;
    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";
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -9.577292, -9.577292;
    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";
  station {
    String ioos_category "Identifier";
    String long_name "Station";
  lnstationid {
    String ioos_category "Identifier";
    String long_name "Ln Station ID";
  time {
    String _CoordinateAxisType "Time";
    String axis "T";
    String ioos_category "Time";
    String long_name "Detection Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  year {
    Int32 actual_range 2018, 2019;
    String ioos_category "Time";
    String long_name "Year";
  month {
    Int32 actual_range 1, 11;
    String ioos_category "Time";
    String long_name "Month";
  day {
    String ioos_category "Time";
    String long_name "day";
  co2_conc_water_mgperl {
    String ioos_category "CO2";
    String long_name "CO2 Conc Water Mgper L";
  co2_conc_water_mmolperl {
    String ioos_category "CO2";
    String long_name "CO2 Conc Water Mmolper L";
  co2_temp {
    String ioos_category "CO2";
    String long_name "CO2 Temp";
  barometric_pressure_1 {
    Float64 colorBarMaximum 1050.0;
    Float64 colorBarMinimum 950.0;
    String ioos_category "Pressure";
    String long_name "Air Pressure";
    String standard_name "air_pressure";
  co2_v {
    String ioos_category "CO2";
    String long_name "CO2 V";
  co2_kw {
    String ioos_category "CO2";
    String long_name "CO2 KW";
  co2_cv {
    String ioos_category "CO2";
    String long_name "CO2 Cv";
  co2_kh {
    String ioos_category "CO2";
    String long_name "CO2 Kh";
  co2_p {
    String ioos_category "CO2";
    String long_name "CO2 P";
  sdi12_result_1 {
    String ioos_category "Unknown";
    String long_name "SDI12 Result 1";
  sdi12_result_2 {
    String ioos_category "Unknown";
    String long_name "SDI12 Result 2";
  sdi12_result_3 {
    String ioos_category "Unknown";
    String long_name "SDI12 Result 3";
  main_battery_min {
    String ioos_category "Unknown";
    String long_name "Main Battery Min";
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station_name, longitude, latitude";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "Marine Institute";
    String creator_type "person";
    String creator_url "";
    Float64 Easternmost_Easting -9.577292;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 53.949366;
    Float64 geospatial_lat_min 53.949366;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -9.577292;
    Float64 geospatial_lon_min -9.577292;
    String geospatial_lon_units "degrees_east";
    String history 
"2021-01-28T02:51:50Z (Cassandra)
    String infoUrl "";
    String institution "Marine Institute";
    String keywords "air, air_pressure, atmosphere, atmospheric, barometric_pressure_1, battery, buoy, carbon, carbon dioxide, co2, co2_conc_water_mgperl, co2_conc_water_mmolperl, co2_cv, co2_kh, co2_kw, co2_p, co2_temp, co2_v, conc, data, dioxide, earth, Earth Science > \\nAtmosphere > Atmospheric Pressure > Atmospheric Pressure Measurements, Earth Science > Atmosphere > Atmospheric Pressure > Sea Level \\nPressure, Earth Science > Atmosphere > Atmospheric Pressure > Static Pressure, feeagh, identifier, institute, latitude, level, lnstationid, longitude, main, main_battery_min, marine, measurements, mgper, min, mmolper, name, num, pressure, rec, recnum, result, science, sdi12, sdi12_result_1, sdi12_result_2, sdi12_result_3, sea, seawater, sec, sensor, stamp, static, station, stationname, temperature, time, time_sec_id, tmstamp, v, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "Creative Commons Attribution 4.0 (";
    Float64 Northernmost_Northing 53.949366;
    String sourceUrl "(Cassandra)";
    Float64 Southernmost_Northing 53.949366;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "station_name, year, month, longitude, latitude";
    String summary "Feeagh CO2 data. Marine Institute Newport data";
    String title "AWQMS Feeagh (CO2)";
    Float64 Westernmost_Easting -9.577292;


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{?query}
For example,,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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