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Dataset Title:  Fluorometry data from a Turner Designs C3 sensor at OBSEA's Besos Buoy (30min
average)
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Institution:  Universitat Politècnica de Catalunya   (Dataset ID: OBSEA_Besos_Buoy_C3_fluorometer_30min)
Range: time = 2022-08-02T10:30:00Z to 2024-05-16T12:00:00Z
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form | Files
 
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[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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.6594362e+9, 1.7158608e+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";
  }
  TEMP {
    Float64 actual_range 12.2, 29.9;
    String long_name "sea_water_temperature";
    String sdn_parameter "https://vocab.nerc.ac.uk/collection/P01/current/TEMPST01";
    String sdn_parameter_urn "SDN:P01::TEMPST01";
    String sdn_units "https://vocab.nerc.ac.uk/collection/P06/current/UPAA";
    String sdn_units_urn "SDN:P06::UPAA";
    String standard_name "sea_water_temperature";
    String units "degrees Celsius";
  }
  TEMP_qc {
    Int32 actual_range 1, 3;
    String long_name "TEMP quality control flag";
  }
  RFUL {
    Float64 actual_range 1.0, 199.4;
    String long_name "refined_fuels";
    String sdn_parameter "refined_fuels";
    String sdn_units "https://vocab.nerc.ac.uk/collection/P06/current/UPPM";
    String sdn_units_urn "SDN:P06::UPPM";
    String standard_name "refined_fuels";
    String units "parts per million";
  }
  RFUL_qc {
    Int32 actual_range 1, 1;
    String long_name "RFUL quality control flag";
  }
  COIL {
    Float64 actual_range 5.4, 989.4;
    String long_name "crude_oil";
    String sdn_parameter "crude_oil";
    String sdn_units "https://vocab.nerc.ac.uk/collection/P06/current/UPPB";
    String sdn_units_urn "SDN:P06::UPPB";
    String standard_name "crude_oil";
    String units "parts per billion";
  }
  COIL_qc {
    Int32 actual_range 1, 1;
    String long_name "COIL quality control flag";
  }
  CDOM {
    Float64 actual_range 0.0, 750.9;
    String long_name "coloured_dissolved_organic_matter_";
    String sdn_parameter "https://vocab.nerc.ac.uk/collection/P01/current/CDOMZZ01";
    String sdn_parameter_urn "SDN:P01::CDOMZZ01";
    String sdn_units "https://vocab.nerc.ac.uk/collection/P06/current/UPPB";
    String sdn_units_urn "SDN:P06::UPPB";
    String standard_name "coloured_dissolved_organic_matter_";
    String units "parts per billion";
  }
  CDOM_qc {
    Int32 actual_range 1, 3;
    String long_name "CDOM quality control flag";
  }
 }
  NC_GLOBAL {
    String area "NW Mediterranean Sea";
    String author "Enoc Martinez";
    String average_period "30min";
    String cdm_data_type "Other";
    String contact "enoc.martinez@upc.edu";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String geospatial_lat_max "41.18212";
    String geospatial_lat_min "41.18212";
    String geospatial_lon_max "1.75257";
    String geospatial_lon_min "1.75257";
    String history 
"2024-11-10T19:46:51Z (local files)
2024-11-10T19:46:51Z https://data.obsea.es/tabledap/OBSEA_Besos_Buoy_C3_fluorometer_30min.das";
    String infoUrl "https://www.obsea.es";
    String institution "Universitat Politècnica de Catalunya";
    String institution_edmo_code "2150";
    String institution_references "https://www.obsea.es";
    String instrument_model "C3";
    String license "Creative Commons Attribution 4.0 International (CC-BY-4.0)";
    String pi_name "Joaquín del Río";
    String platform_code "OBSEA_Besos_Buoy";
    String processing_level "data acquired from sensor, quality control procedure applied following QARTOD guidelines, data averaged in periods of 30min";
    String quality_control_flags "1:good data, 2:QC not applied, 3:suspicious data, 4:bad data, 9:missing data";
    String quality_control_methods "QARTOD, https://ioos.noaa.gov/project/qartod";
    String sdn_instrument_type "SDN:L05::113";
    String sensor_depth "1";
    String site_code "OBSEA_Besos_Buoy";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Data collected by a Turner Designs C3 fluorometer mounted at the Besos Buoy, on top of the OBSEA observatory, 30min average";
    String testOutOfDate "now-1day";
    String time_coverage_end "2024-05-16T12:00:00Z";
    String time_coverage_start "2022-08-02T10:30:00Z";
    String title "Fluorometry data from a Turner Designs C3 sensor at OBSEA's Besos Buoy (30min average)";
  }
}

 

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
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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