Make A Graph

Dataset Title:	Finnmaid - 34FM20250916
Institution:	ICOS RI; Leibniz Institute for Baltic Sea Research Warnemuende (Dataset ID: 34FM20250916--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)

specify just 1 value →

longitude (degrees_east)

latitude (degrees_north)

depth (m)

specify just 1 value →

Graph Settings
Color Bar:	Continuity:	Scale:
Minimum:	Maximum:	N Sections:
Draw land mask:
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

)

Click on the map to specify a new center point.

Zoom:

[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 1.758031681e+9, 1.758648661e+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 11.139, 25.083;
    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 54.077, 60.006;
    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 3.0, 3.0;
    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 11.002, 17.789;
    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 5.139, 14.567;
    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";
  }
  TEMPEQMN {
    Float32 _FillValue NaN;
    Float32 actual_range 11.642, 17.931;
    Float32 colorBarMaximum 40.0;
    Float32 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Equilibrator Temperature";
    String source_name "Temperature of Equilibration [degC]";
    String standard_name "temperature_of_analysis_of_sea_water";
    String units "degree_Celsius";
  }
  PRES00EQ {
    Float32 _FillValue NaN;
    Float32 actual_range 995.884, 1029.398;
    Float32 colorBarMaximum 1020.0;
    Float32 colorBarMinimum 980.0;
    String ioos_category "Pressure";
    String long_name "Equilibrator Pressure";
    String source_name "Equilibrator Pressure";
    String units "hPa";
  }
  xCO2_water_equi_temp_dry {
    Float32 _FillValue NaN;
    Float32 actual_range 341.035, 868.714;
    Float32 colorBarMaximum 1200.0;
    Float32 colorBarMinimum 350.0;
    String ioos_category "CO2";
    String long_name "water xCO2 dry using equi temp";
    String source_name "xCO2 In Water - Calibrated In Dry Air [umol mol-1]";
    String standard_name "mole_fraction_of_carbon_dioxide_in_sea_water";
    String units "umol/mol";
  }
  PCO2XXXX {
    Float32 _FillValue NaN;
    Float32 actual_range 328.16, 850.339;
    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 327.021, 847.137;
    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_trajectory_variables "expocode";
    String citation "Rehder, G., Bittig, H., Glockzin, M., Neubert, S., Sadkowiak, B., Steinberg, M. (2025). ICOS OTC SOOP Release from Finnmaid, 2025-09-16–2025-09-23, ICOS RI, https://hdl.handle.net/11676/gDZ2pVimyXb8O7lx3eyCszNz";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    Float64 Easternmost_Easting 25.083;
    Float64 geospatial_lat_max 60.006;
    Float64 geospatial_lat_min 54.077;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 25.083;
    Float64 geospatial_lon_min 11.139;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-10-30T03:01:14Z https://meta.icos-cp.eu/objects/gDZ2pVimyXb8O7lx3eyCszNz
2025-10-30T03:01:14Z https://erddap.icos-cp.eu/griddap/34FM20250916--gridded.das";
    String infoUrl "https://meta.icos-cp.eu/objects/gDZ2pVimyXb8O7lx3eyCszNz";
    String institution "ICOS RI; Leibniz Institute for Baltic Sea Research Warnemuende";
    String license "CC BY 4.0/ICOS Data Licence: https://www.icos-cp.eu/data-services/about-data-portal/data-license";
    Float64 Northernmost_Northing 60.006;
    String person_1_email "gregor.rehder@io-warnemuende.de";
    String person_1_firstName "Gregor";
    String person_1_id "http://meta.icos-cp.eu/resources/otcmeta/Rehder_Gregor";
    String person_1_lastName "Rehder";
    String person_1_orcid "0000-0002-0597-9989";
    String person_1_org "Leibniz Institute for Baltic Sea Research Warnemuende";
    String person_2_email "henry.bittig@io-warnemuende.de";
    String person_2_firstName "Henry";
    String person_2_id "http://meta.icos-cp.eu/resources/otcmeta/Bittig_Henry";
    String person_2_lastName "Bittig";
    String person_2_orcid "0000-0002-8621-3095";
    String person_2_org "Leibniz Institute for Baltic Sea Research Warnemuende";
    String person_3_email "michael.glockzin@io-warnemuende.de";
    String person_3_firstName "Michael";
    String person_3_id "http://meta.icos-cp.eu/resources/otcmeta/Glockzin_Michael";
    String person_3_lastName "Glockzin";
    String person_3_orcid "0000-0002-5304-343X";
    String person_3_org "Leibniz Institute for Baltic Sea Research Warnemuende";
    String sourceUrl "https://meta.icos-cp.eu/objects/gDZ2pVimyXb8O7lx3eyCszNz";
    Float64 Southernmost_Northing 54.077;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "ICOS OTC SOOP Release from Finnmaid";
    String time_coverage_end "2025-09-23T17:31:01.000Z";
    String time_coverage_start "2025-09-16T14:08:01.000Z";
    String title "Finnmaid - 34FM20250916";
    Float64 Westernmost_Easting 11.139;
  }
}

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.