EMODnet Physics ERDDAP
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Dataset Title:	EMODnet Physics - Collection of fluorescence (FLU3) TimeSeries - MultiPointTimeSeriesObservation
Institution:	EMODnet Physics (Dataset ID: TS_FLU3)
Range:	longitude = -9.21 to 4.8662°E, latitude = 39.56 to 50.7405°N, depth = -999.0 to 87.684m, time = 2019-01-01T00:05:11Z to 2025-04-29T06:56:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| Data Access Form

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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 {
  PLATFORMCODE {
    String cf_role "timeseries_id";
    String long_name "EMODnet Platform Code";
  }
  SOURCE {
    String long_name "source";
  }
  SENSOR {
    String long_name "Platform Sensor";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.546301111e+9, 1.74590976e+9;
    String axis "T";
    String calendar "Gregorian";
    String ioos_category "Time";
    String long_name "Valid Time GMT";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  TIME_QC {
    Int16 _FillValue -32767;
    Int16 actual_range 1, 1;
    String flag_meanings "no_qc_performed good_data probably_good_data bad_data_that_are_potentially_correctable bad_data value_changed not_used nominal_value interpolated_value missing_value";
    String long_name "TIME quality flag";
    String standard_name "time_qc";
    String units "1";
    Int16 valid_range 0, 9;
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue 9.969209968386869e+36;
    Float64 actual_range -999.0, 87.68399810791016;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  DEPTH_QC {
    Int16 _FillValue -32767;
    Int16 actual_range -127, 9;
    String flag_meanings "no_qc_performed good_data probably_good_data bad_data_that_are_potentially_correctable bad_data value_changed not_used nominal_value interpolated_value missing_value";
    String long_name "DEPTH quality flag";
    String standard_name "depth";
    String units "1";
    Int16 valid_range 0, 9;
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue 9.969209968386869e+36;
    Float64 actual_range 39.560001373291016, 50.740501403808594;
    String axis "Y";
    String ioos_category "Location";
    String latitude_reference_datum "geographical coordinates, WGS84 projection";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float64 valid_max 90.0;
    Float64 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue 9.969209968386869e+36;
    Float64 actual_range -9.210000038146973, 4.866199970245361;
    String axis "X";
    String ioos_category "Location";
    String latitude_reference_datum "geographical coordinates, WGS84 projection";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_max 180.0;
    Float64 valid_min -180.0;
  }
  POSITION_QC {
    Int16 _FillValue -32767;
    Int16 actual_range 1, 1;
    String flag_meanings "no_qc_performed good_data probably_good_data bad_data_that_are_potentially_correctable bad_data value_changed not_used nominal_value interpolated_value missing_value";
    String long_name "POSITION quality flag";
    String standard_name "position_qc";
    String units "1";
    Int16 valid_range 0, 9;
  }
  FLU3 {
    Float64 _FillValue 9.969209968386869e+36;
    Float64 actual_range -2.147483647e+9, 49206.75;
    String ep_parameter_group "Biochemical";
    String long_name "fluorescence";
    String p01 "SDN:P01::FLUOZZZZ";
    String p33 "BIOCHEMICAL";
    String sample_rate_comment "Hourly: 3600, Daily: 8.64e4, Monthly: 2.628e6, Yearly: 3.154e7";
    String sample_rate_units "seconds";
    String source_variable_name "FLU3";
    String units "1";
  }
  FLU3_QC {
    Int16 _FillValue -32767;
    Int16 actual_range -127, 9;
    String flag_meanings "no_qc_performed good_data probably_good_data bad_data_that_are_potentially_correctable bad_data value_changed not_used nominal_value interpolated_value missing_value";
    String long_name "FLU3 quality flag";
    String standard_name "flu3_qc";
    String units "1";
    Int16 valid_range 0, 9;
  }
  FLU3_DM {
    String actual_range 
"\u0000
\u0000";
    String flag_meanings "real-time provisional delayed-mode mixed";
    String flag_values "R, P, D, M";
    String long_name "FLU3 method of data processing";
  }
  url_metadata {
    String long_name "Metadata Link";
  }
  qc_entity {
    Int32 actual_range 14, 14;
    String qc_reference_table "\"https://er2webapps.emodnet-physics.eu/erddap/tabledap/qc_reference_table.htmlTable";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "PLATFORMCODE,SOURCE,latitude,longitude";
    String citation "Data are the property of the producer/owner distributed through EMODnet Physics. EMODnet Physics and the partners are not responsible for improper use";
    String contact "contacts@emodnet-physics.eu";
    String Conventions "CF-1.6 OceanSITES-Manual-1.2 Copernicus-InSituTAC-SRD-1.3 Copernicus-InSituTAC-ParametersList-3.0.0, COARDS, ACDD-1.3";
    String creator_type "institution";
    Float64 Easternmost_Easting 4.866199970245361;
    String ep_parameter_group "Water conductivity/ BioGeoChemical";
    String featureType "TimeSeries";
    String geometryType "Point";
    Float64 geospatial_lat_max 50.740501403808594;
    Float64 geospatial_lat_min 39.560001373291016;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 4.866199970245361;
    Float64 geospatial_lon_min -9.210000038146973;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 87.68399810791016;
    Float64 geospatial_vertical_min -999.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-04-30T16:22:32Z (local files)
2025-04-30T16:22:32Z http://ercompwebapps.emodnet-physics.eu/tabledap/TS_FLU3.das";
    String infoUrl "http://www.emodnet-physics.eu";
    String institution "EMODnet Physics";
    String institution_normalizzato "1";
    String institution_oldName "Universite de Caen Station Marine De Luc/Mer (C.R.E.C.);CNRS - Centre National de la Recherche Scientifique;Agence Eau Seine-Normandie;NKE Instrumentation;Universite de Caen (Basse-Normandie);IFREMER Institut Francais de Recherche pour l'Exploitation de la Mer;European regional development fund (FEDER)";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "Creative Commons Attribution Share-Alike http://www.opendefinition.org/licenses/cc-by-sa";
    String metadata_dataset "https://er2webapps.emodnet-physics.eu/erddap/tabledap/TS_FLU3_METADATA.html";
    String metadata_document "https://metadata.emodnet-physics.eu/datasetfile/emodnet/TS_FLU3";
    Float64 Northernmost_Northing 50.740501403808594;
    String platformType_best_practices_DOI "https://atlantos-h2020.eu/download/7.2-QC-Report.pdf";
    String platformType_dataFeatureType "timeseries";
    String platformType_description "Mooring";
    String platformType_sdnL06 "SDN:L06::48";
    String platformType_trajectory "False";
    String publisher_type "institution";
    String qc_reference_table "https://er2webapps.emodnet-physics.eu/erddap/tabledap/qc_reference_table.html";
    String SDN "SDN:P01::FLUOZZZZ";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 39.560001373291016;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String stato "A";
    String subsetVariables "PLATFORMCODE,SOURCE";
    String summary "EMODnet Physics - Collection of fluorescence (FLU3) TimeSeries - MultiPointTimeSeriesObservation";
    String testOutOfDate "now-7days";
    String time_coverage_end "2025-04-29T06:56:00Z";
    String time_coverage_start "2019-01-01T00:05:11Z";
    String title "EMODnet Physics - Collection of fluorescence (FLU3) TimeSeries - MultiPointTimeSeriesObservation";
    Float64 Westernmost_Easting -9.210000038146973;
  }
}

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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