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Dataset Title:  ECoSS - DB of sounds for training - METADATA Subscribe RSS
Institution:  ECoSS project   (Dataset ID: ecoss_db_training_sounds_metadata)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 UniqueID ?          "ECOSS_SSC_TRAINING..."    "ECOSS_SSC_TRAINING..."
 longitude (degrees_east) ?          -128.39    6.2690099
  < slider >
 latitude (degrees_north) ?          37.0076    51.909475
  < slider >
 File ?          "10__10_07_13_marDe..."    "jUMP_September2021..."
 Enhanced4AI ?          0    1
 Test (Original Audio File Test) ?          0    0
 Train (Original Audio File Train) ?          1    1
 Recorder ?          "OIS3H"    "RTSYS"
 Recorder_no ?          "ST300 HF"    "ST300 HF"
 N_channels ?          1    1
 amplification_gain ?          -191.3    36.12
 startdate ?          "2012-10-04 14:00:00"    "2022-05-01 00:00:00"
 system_frequency ?          48000.0    576000.0
 hydrophone ?          "A3"    "IR"
 hydrophone_number ?          4689    1208492081
 sensitivity ?          -240.0    -137.8
 depth (m) ?          -141.0    -1.95
  < slider >
 Campaign ?          "Deepship"    "posa"
 EDMO ?          237    4974
 CountryCode ?          "CA"    "SP"
 Bathymetric_Depth ?          -124.0    -4.8
 folder_file (File Folder) ?          "borssele-rws-nl"    "waveglider-szn-it"
 file_path ?          "https://ssc.s4ocea..."    "https://ssc.s4ocea..."
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")

File type: (more information)

(Documentation / Bypass this form ? )
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  UniqueID {
    String ioos_category "Identifier";
    String long_name "Unique ID";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -128.39, 6.2690099;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 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 37.0076, 51.909475;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  File {
    String ioos_category "Unknown";
    String long_name "File";
  }
  Enhanced4AI {
    Int32 _FillValue 2147483647;
    Int32 actual_range 0, 1;
    String ioos_category "Unknown";
    String long_name "enhanced4AI";
  }
  Test {
    Int32 _FillValue 2147483647;
    Int32 actual_range 0, 0;
    String ioos_category "Unknown";
    String long_name "Original Audio File Test";
  }
  Train {
    Int32 _FillValue 2147483647;
    Int32 actual_range 1, 1;
    String ioos_category "Unknown";
    String long_name "Original Audio File Train";
  }
  Recorder {
    String ioos_category "Taxonomy";
    String long_name "Recorder";
  }
  Recorder_no {
    String ioos_category "Taxonomy";
    String long_name "Recorder No";
  }
  N_channels {
    Int32 _FillValue 2147483647;
    Int32 actual_range 1, 1;
    String ioos_category "Statistics";
    String long_name "N Channels";
  }
  amplification_gain {
    Float32 _FillValue NaN;
    Float32 actual_range -191.3, 36.12;
    String ioos_category "Unknown";
    String long_name "Amplification Gain";
  }
  startdate {
    String ioos_category "Unknown";
    String long_name "Startdate";
  }
  system_frequency {
    Float32 _FillValue NaN;
    Float32 actual_range 48000.0, 576000.0;
    String ioos_category "Unknown";
    String long_name "System Frequency";
  }
  hydrophone {
    String ioos_category "Unknown";
    String long_name "Hydrophone";
  }
  hydrophone_number {
    Int32 _FillValue 2147483647;
    Int32 actual_range 4689, 1208492081;
    Int32 colorBarMaximum 100000;
    Int32 colorBarMinimum 0;
    String ioos_category "Statistics";
    String long_name "Hydrophone Number";
  }
  sensitivity {
    Float32 _FillValue NaN;
    Float32 actual_range -240.0, -137.8;
    String ioos_category "Unknown";
    String long_name "Sensitivity";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 _FillValue NaN;
    Float32 actual_range -141.0, -1.95;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Campaign {
    String ioos_category "Unknown";
    String long_name "Campaign";
  }
  EDMO {
    Int32 _FillValue 2147483647;
    Int32 actual_range 237, 4974;
    String ioos_category "Unknown";
    String long_name "EDMO";
  }
  CountryCode {
    String ioos_category "Location";
    String long_name "Country Code";
  }
  Bathymetric_Depth {
    Float64 _FillValue NaN;
    Float64 actual_range -124.0, -4.8;
    String ioos_category "Bathymetry";
    String long_name "Bathymetric Depth";
  }
  folder_file {
    String ioos_category "Unknown";
    String long_name "File Folder";
  }
  file_path {
    String ioos_category "Unknown";
    String long_name "File Path";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    Float64 Easternmost_Easting 6.2690099;
    Float64 geospatial_lat_max 51.909475;
    Float64 geospatial_lat_min 37.0076;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 6.2690099;
    Float64 geospatial_lon_min -128.39;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max -1.95;
    Float64 geospatial_vertical_min -141.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-02-05T14:53:55Z (local files)
2025-02-05T14:53:55Z https://ssc.s4oceandata.eu/erddap/tabledap/ecoss_db_training_sounds_metadata.html";
    String infoUrl "https://ecoss.ctnaval.com/";
    String institution "ECoSS project";
    String license "Creative Commons Attribution Share-Alike http://www.opendefinition.org/licenses/cc-by-sa";
    Float64 Northernmost_Northing 51.909475;
    String project "The primary goal of the ECoSS project is to develop an open library containing a curated and continuously growing digital catalogue, along with an AI-based classifier for individual sound signatures from the marine underwater soundscape in shallow waters (CINEA/2022/OP/0019).";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 37.0076;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "This dataset contains sound signatures specifically used to train the AI classifier.";
    String title "ECoSS - DB of sounds for training - METADATA";
    Float64 Westernmost_Easting -128.39;
  }
}

 

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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