Italian Arctic Data Center - ERDDAP
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Dataset Title:	Flux Chamber GPP ER NEE meteoclimate data Ny-Ålesund
Institution:	Institute of Geosciences and Earth Resources (Dataset ID: 7386cf98-e75f-4995-9c08-b78ab14bee12)
Range:	longitude = 11.853704 to 11.897119°E, latitude = 78.92058 to 78.92485°N, time = 2019-07-24T11:10:00Z to 2025-08-03T09:36:08Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| 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 1.5639666e+9, 1.754213768e+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 "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  site_id {
    String cf_role "timeseries_id";
    String long_name "Site id";
  }
  gross_primary_productivity_expressed_as_carbon_gpp {
    Float32 _FillValue NaN;
    Float32 actual_range -21.31, -0.02;
    String long_name "Gross Primary Productivity Expressed As Carbon Gpp";
    String standard_name "gross_primary_productivity_of_biomass_expressed_as_carbon";
    String units "µmolC s-1 m-2";
  }
  Ecosystem_respiration_expressed_as_carbon_Reco {
    Float32 _FillValue NaN;
    Float32 actual_range 0.12, 10.74;
    String long_name "Ecosystem Respiration Expressed As Carbon Reco";
    String units "µmolC s-1 m-2";
  }
  net_ecosystem_exchange_expressed_as_carbon_nee {
    Float32 _FillValue NaN;
    Float32 actual_range -10.57, 2.42;
    String long_name "Net Ecosystem Exchange Expressed As Carbon Nee";
    String units "µmolC s-1 m-2";
  }
  Downwelling_shortwave_flux_in_air {
    Int32 _FillValue 2147483647;
    Int32 actual_range 37, 1359;
    String colorBarMaximum "500.0";
    String colorBarMinimum "-500.0";
    String long_name "Downwelling Shortwave Flux In Air";
    String standard_name "downwelling_shortwave_flux_in_air";
    String units "W m-2";
  }
  air_temperature_nee {
    Float32 _FillValue NaN;
    Float32 actual_range 4.6, 22.7;
    String long_name "Air_temperature at NEE measures";
    String units "degree_C";
  }
  air_temperature_Reco {
    Float32 _FillValue NaN;
    Float32 actual_range 4.7, 22.0;
    String long_name "Air_temperature at Reco measures";
    String units "degree_C";
  }
  RH_nee {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 92.0;
    String long_name "relative_humidity at NEE measures";
    String units "percent";
  }
  RH_Reco {
    Float32 _FillValue NaN;
    Float32 actual_range 30.9, 92.6;
    String long_name "Air_temperature at Reco measures";
    String units "percent";
  }
  Volumetric_Water_Content_nee {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 76.0;
    String long_name "Volumetric Water Content at NEE measures";
    String units "percent";
  }
  Volumetric_Water_Content_Reco {
    Float32 _FillValue NaN;
    Float32 actual_range 1.3, 75.5;
    String long_name "Volumetric Water Content at Reco measures";
    String units "percent";
  }
  soil_temperature_nee {
    Float32 _FillValue NaN;
    Float32 actual_range 4.2, 16.7;
    String long_name "Soil_temperature at NEE measures";
    String standard_name "soil_temperature";
    String units "degree_C";
  }
  soil_temperature_Reco {
    Float32 _FillValue NaN;
    Float32 actual_range 4.1, 16.7;
    String long_name "Soil_temperature at Reco measures";
    String standard_name "soil_temperature";
    String units "degree_C";
  }
  green_fractional_cover {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.79;
    String colorBarMaximum "1.0";
    String colorBarMinimum "0.0";
    String long_name "Green Fractional Cover";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range 11.853704, 11.897119;
    String axis "X";
    String colorBarMaximum "180.0";
    String colorBarMinimum "-180.0";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 78.920581, 78.924847;
    String axis "Y";
    String colorBarMaximum "90.0";
    String colorBarMinimum "-90.0";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  doy {
    Int32 _FillValue 2147483647;
    Int32 actual_range 182, 215;
    String long_name "Day_of_the_Year";
  }
  DOY_of_snowmelt_RS {
    Int32 _FillValue 2147483647;
    Int32 actual_range 163, 186;
    String long_name "DOY of snowmelt from Remote Sensing MODIS images";
  }
  Days_since_snowmelt {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 5, 50;
    String long_name "Days since snowmelt calculated from DOY of snowmelt_RS";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "site_id,latitude,longitude";
    String contributor_email "favogadro92@gmail.com; ilaria.baneschi@cnr.it; paolaforni320@gmail.com; mariasilvia.giamberini@cnr.it; magnani.marta@cnr.it; jasmine.natalini@gmail.com; parisi.angelica@gmail.com; provenzale.antonello@cnr.it";
    String contributor_institution "Institute of Geosciences and Earth Resources";
    String contributor_name "Francesca Avogadro di Valdengo; Ilaria Baneschi; Paola Forni; Mariasilvia Giamberini; Marta Magnani; Jasmine Natalini; Angelica Parisi; Antonello Provenzale";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_email "mariasilvia.giamberini@cnr.it, gennarosimona.geo@gmail.com";
    String creator_name "Simona Gennaro";
    Float64 Easternmost_Easting 11.897119;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 78.924847;
    Float64 geospatial_lat_min 78.920581;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 11.897119;
    Float64 geospatial_lon_min 11.853704;
    String geospatial_lon_units "degrees_east";
    String history 
"Point measurements of CO2 fluxes were performed over two different sites in the Bayelva Basin by using a portable Infrared Gas Analyser (IRGA) equipped with a transparent flux chamber (model LiCOR 850 LI-COR Environmental, USA); Net Ecosystem Exchange (NEE) and Ecosystem Respiration (Reco) were sued to calculate the Gross Primary Productivity is calculated. Meteo-climatic variables, including solar irradiance, and soil temperature and water content were concurrently measured. Green Fractional cover was calculated form RGB pictures.
2026-07-02T19:42:45Z (local files)
2026-07-02T19:42:45Z https://data.iadc.cnr.it/tabledap/7386cf98-e75f-4995-9c08-b78ab14bee12.das";
    String infoUrl "https://zenodo.org/communities/igg-cnr-czo/records?q=&l=list&p=1&s=10&sort=newest";
    String institution "Institute of Geosciences and Earth Resources";
    String keywords "air, air_temperature_nee, air_temperature_Reco, atmosphere, atmospheric, carbon, chamber, content, cover, data, date, days, Days_since_snowmelt, downwelling, downwelling_shortwave_flux_in_air, doy, DOY_of_snowmelt_RS, earth, Earth Science > Atmosphere > Atmospheric Radiation > Shortwave Radiation, ecosystem, Ecosystem_respiration_expressed_as_carbon_Reco, exchange, expressed, flux, fractional, geosciences, gpp, green, green_fractional_cover, gross, gross_primary_productivity_expressed_as_carbon_gpp, institute, latitude, longitude, meteoclimate, nee, net, net_ecosystem_exchange_expressed_as_carbon_nee, nya, primary, productivity, radiation, reco, resources, respiration, RH_nee, RH_Reco, science, shortwave, since, snowmelt, soil, soil_temperature_nee, soil_temperature_Reco, station, station_id, temperature, time, volumetric, Volumetric_Water_Content_nee, Volumetric_Water_Content_Reco, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "CC BY-NC: This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.";
    Float64 Northernmost_Northing 78.924847;
    String publisher_name "Italian Arctic Data Center";
    String publisher_type "group";
    String publisher_url "https://iadc.cnr.it";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 78.920581;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "This dataset compiles the measurements of Net Ecosystem Exchange, Ecosystem Respiration and Gross Primary Productivity and associated microclimatic, vegetation and soil conditions in the High Arctic tundra in Svalbard, Measurements have been taken using the flux chamber method over a series of statistically representative points at two sites in the Bayelva Basin near the research station of Ny Alesund, Svalbard during the peak of the growing season (July-early August) starting from 2019.";
    String time_coverage_end "2025-08-03T09:36:08Z";
    String time_coverage_start "2019-07-24T11:10:00Z";
    String title "Flux Chamber GPP ER NEE meteoclimate data Ny-Ålesund";
    Float64 Westernmost_Easting 11.853704;
  }
}

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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