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Make A Graph

Dataset Title:	W1M3A - 489920200709
Institution:	ICOS RI; National Research Council of Italy (Dataset ID: Alc0bY-I-5fChwCZbU6-ZMEJ--gridded)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

longitude (degrees_east)

specify just 1 value →

latitude (degrees_north)

specify just 1 value →

depth (m)

specify just 1 value →

Graph Settings

Marker Type:

Size:

Color:

Color Bar:

Continuity:

Scale:

Minimum:

Maximum:

N Sections:

Y Axis Minimum:

Maximum:

(Please be patient. It may take a while to get the data.)

Optional:
Then set the File Type: (File Type information)
and

or view the URL:
(Documentation / Bypass this form

)

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:

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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.594317615e+9, 1.611237615e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Date/Time";
    String source_name "Date/Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00.000Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 9.118, 9.118;
    String axis "X";
    Float32 colorBarMaximum 180.0;
    Float32 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String source_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 43.835, 43.835;
    String axis "Y";
    Float32 colorBarMaximum 90.0;
    Float32 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String source_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 actual_range 8.0, 8.0;
    String axis "Z";
    Float32 colorBarMaximum 15.0;
    Float32 colorBarMinimum 0.0;
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String source_name "Depth [m]";
    String standard_name "depth";
    String units "m";
  }
  TEMPPR01 {
    Float32 _FillValue NaN;
    Float32 actual_range 13.724, 26.673;
    Float32 colorBarMaximum 40.0;
    Float32 colorBarMinimum -5.0;
    String ioos_category "Temperature";
    String long_name "Sea Water Temperature";
    String source_name "Temp [degC]";
    String standard_name "sea_water_temperature";
    String units "degree_Celsius";
  }
  PSLTZZ01 {
    Float32 _FillValue NaN;
    Float32 actual_range 37.763, 38.253;
    Float32 colorBarMaximum 38.0;
    Float32 colorBarMinimum 0.0;
    String ioos_category "Salinity";
    String long_name "Sea Water Salinity";
    String source_name "P_sal [psu]";
    String standard_name "sea_water_salinity";
    String units "1";
  }
  PCO2XXXX {
    Float32 _FillValue NaN;
    Float32 actual_range 344.98, 558.967;
    Float32 colorBarMaximum 1200.0;
    Float32 colorBarMinimum 350.0;
    String ioos_category "CO2";
    String long_name "water pCO2 wet using sst";
    String source_name "pCO2 [uatm]";
    String standard_name "surface_partial_pressure_of_carbon_dioxide_in_sea_water";
    String units "uatm";
  }
  FCO2XXXX {
    Float32 _FillValue NaN;
    Float32 actual_range 344.978, 558.965;
    Float32 colorBarMaximum 1200.0;
    Float32 colorBarMinimum 350.0;
    String ioos_category "CO2";
    String long_name "water fCO2 wet using sst";
    String source_name "fCO2 [uatm]";
    String standard_name "fugacity_of_carbon_dioxide_in_sea_water";
    String units "uatm";
  }
  xCO2_atm_dry {
    Float32 _FillValue NaN;
    Float32 colorBarMaximum 1200.0;
    Float32 colorBarMinimum 350.0;
    String ioos_category "CO2";
    String long_name "xCO2 in air";
    String source_name "xCO2 In Atmosphere - Calibrated In Dry Air[mol mol - 1]";
    String standard_name "mole_fraction_of_carbon_dioxide_in_air";
    String units "umol/mol";
  }
  ACO2XXXX {
    Float32 _FillValue NaN;
    Float32 colorBarMaximum 1200.0;
    Float32 colorBarMinimum 350.0;
    String ioos_category "CO2";
    String long_name "pCO2 in air";
    String source_name "pCO2 in atmosphere [uatm]";
    String standard_name "surface_partial_pressure_of_carbon_dioxide_in_air";
    String units "uatm";
  }
  FCO2WTAT {
    Float32 _FillValue NaN;
    Float32 colorBarMaximum 1200.0;
    Float32 colorBarMinimum 350.0;
    String ioos_category "CO2";
    String long_name "fCO2 in air";
    String source_name "fCO2 in atmosphere [uatm]";
    String units "uatm";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String cdm_timeseries_variables "expocode";
    String citation "Pensieri, S., Bozzano, R. (2024). ICOS OTC FOS Release from W1M3A, 2020-07-09–2021-01-21, ICOS RI, https://hdl.handle.net/11676/Alc0bY-I-5fChwCZbU6-ZMEJ";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    Float64 Easternmost_Easting 9.118;
    Float64 geospatial_lat_max 43.835;
    Float64 geospatial_lat_min 43.835;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 9.118;
    Float64 geospatial_lon_min 9.118;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-04-03T04:43:42Z https://meta.icos-cp.eu/objects/Alc0bY-I-5fChwCZbU6-ZMEJ
2025-04-03T04:43:42Z https://erddap.icos-cp.eu/griddap/Alc0bY-I-5fChwCZbU6-ZMEJ--gridded.das";
    String infoUrl "https://meta.icos-cp.eu/objects/Alc0bY-I-5fChwCZbU6-ZMEJ";
    String institution "ICOS RI; National Research Council of Italy";
    String license "CC BY 4.0/ICOS Data Licence: https://www.icos-cp.eu/data-services/about-data-portal/data-license";
    Float64 Northernmost_Northing 43.835;
    String person_1_email "sara.pensieri@cnr.it";
    String person_1_firstName "Sara";
    String person_1_id "http://meta.icos-cp.eu/resources/otcmeta/Sara%20Pensieri";
    String person_1_lastName "Pensieri";
    String person_1_orcid "0000-0002-7634-8543";
    String person_1_org "Consiglio Nazionale delle Ricerche";
    String person_2_email "roberto.bozzano@cnr.it";
    String person_2_firstName "Roberto";
    String person_2_id "http://meta.icos-cp.eu/resources/otcmeta/Roberto%20Bozzano";
    String person_2_lastName "Bozzano";
    String person_2_orcid "0000-0002-5163-2396";
    String person_2_org "Consiglio Nazionale delle Ricerche";
    String sourceUrl "https://meta.icos-cp.eu/objects/Alc0bY-I-5fChwCZbU6-ZMEJ";
    Float64 Southernmost_Northing 43.835;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "ICOS OTC FOS Release from W1M3A";
    String time_coverage_end "2021-01-21T14:00:15.000Z";
    String time_coverage_start "2020-07-09T18:00:15.000Z";
    String title "W1M3A - 489920200709";
    Float64 Westernmost_Easting 9.118;
  }
}

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link)

Data Access Protocol (DAP) (external link)

and its projection 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. It makes 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.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.

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