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Dataset Title:  SPL data from a Naxys hydrophone at OBSEA (30min average) Subscribe RSS
Institution:  Universitat Politècnica de Catalunya   (Dataset ID: OBSEA_NAXYS_SPL_hydrophone_30min)
Range: time = 2020-04-06T21:30:00Z to 2024-05-16T13:00:00Z
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 1.5862086e+9, 1.7158644e+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";
  }
  SPL_2000 {
    Float64 actual_range 71.6607, 120.9022;
    String long_name "sound_pressure_level_2000Hz_10s";
    String sdn_parameter "https://vocab.nerc.ac.uk/collection/P01/current/AMBNSP34";
    String sdn_parameter_urn "SDN:P01::AMBNSP34";
    String sdn_units "https://vocab.nerc.ac.uk/collection/P06/current/UDBL";
    String sdn_units_urn "SDN:P06::UDBL";
    String standard_name "sound_pressure_level_2000hz_10s";
    String units "dB re 1 uPa";
  }
  SPL_2000_qc {
    Int32 actual_range 1, 1;
    String long_name "SPL_2000 quality control flag";
  }
  SPL_125 {
    Float64 actual_range 69.77, 127.68;
    String long_name "sound_pressure_level_63Hz_10s";
    String sdn_parameter "https://vocab.nerc.ac.uk/collection/P01/current/AMBNSP22";
    String sdn_parameter_urn "SDN:P01::AMBNSP22";
    String sdn_units "https://vocab.nerc.ac.uk/collection/P06/current/UDBL";
    String sdn_units_urn "SDN:P06::UDBL";
    String standard_name "sound_pressure_level_63hz_10s";
    String units "dB re 1 uPa";
  }
  SPL_125_qc {
    Int32 actual_range 1, 1;
    String long_name "SPL_125 quality control flag";
  }
  SPL_63 {
    Float64 actual_range 69.72, 120.61;
    String long_name "sound_pressure_level_63Hz_10s";
    String sdn_parameter "https://vocab.nerc.ac.uk/collection/P01/current/AMBNSP19";
    String sdn_parameter_urn "SDN:P01::AMBNSP19";
    String sdn_units "https://vocab.nerc.ac.uk/collection/P06/current/UDBL";
    String sdn_units_urn "SDN:P06::UDBL";
    String standard_name "sound_pressure_level_63hz_10s";
    String units "dB re 1 uPa";
  }
  SPL_63_qc {
    Int32 actual_range 1, 1;
    String long_name "SPL_63 quality control flag";
  }
  SPL_all {
    Float64 actual_range 95.3082, 144.8206;
    String long_name "sound_pressure_level_full_bw_10s";
    String sdn_parameter "https://vocab.nerc.ac.uk/collection/P01/current/AMBNSPL1";
    String sdn_parameter_urn "SDN:P01::AMBNSPL1";
    String sdn_units "https://vocab.nerc.ac.uk/collection/P06/current/UDBL";
    String sdn_units_urn "SDN:P06::UDBL";
    String standard_name "sound_pressure_level_full_bw_10s";
    String units "dB re 1 uPa";
  }
  SPL_all_qc {
    Int32 actual_range 1, 1;
    String long_name "SPL_all 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 
"2024-07-27T04:24:24Z (local files)
2024-07-27T04:24:24Z https://data.obsea.es/tabledap/OBSEA_NAXYS_SPL_hydrophone_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 "NAXYS Ethernet Hydrophone 02345";
    String license "Creative Commons Attribution 4.0 International (CC-BY-4.0)";
    String pi_name "Joaquín del Río";
    String platform_code "OBSEA";
    String processing_level 
"data acquired from sensor, SPL levels calculated in real-time, 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::369";
    String sdn_instrument_urn "SDN:L22::TOOL1593";
    String sensor_depth "20";
    String site_code "OBSEA";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary 
"Sound Pressure Level (ambient noise) from hydrophone data collected at OBSEA by a Naxys
                Ethernet 02345 Hydrophone and processed in real-time using the SWE Bridge software, 30min average";
    String testOutOfDate "now-1day";
    String time_coverage_end "2024-05-16T13:00:00Z";
    String time_coverage_start "2020-04-06T21:30:00Z";
    String title "SPL data from a Naxys hydrophone at OBSEA (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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