ERDDAP
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Dataset Title: | ECoSS - DB of annotated sounds - METADATA |
Institution: | ECoSS project (Dataset ID: ecoss_db_annotated_sounds_metadata) |
Information: | Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph |
Attributes { s { UniqueID { String ioos_category "Identifier"; String long_name "Unique ID"; } longitude { String _CoordinateAxisType "Lon"; Float64 _FillValue NaN; Float64 actual_range -9.393733, 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 37.0058, 53.2250985; 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, 0; String ioos_category "Unknown"; String long_name "enhanced4AI"; } Test { Int32 _FillValue 2147483647; Int32 actual_range 0, 1; String ioos_category "Unknown"; String long_name "Original Audio File Test"; } Train { Int32 _FillValue 2147483647; Int32 actual_range 0, 1; String ioos_category "Unknown"; String long_name "Original Audio File Train"; } Label_source { String ioos_category "Unknown"; String long_name "Label Source"; } Label_class { String ioos_category "Unknown"; String long_name "Label Class"; } Label_description { String ioos_category "Unknown"; String long_name "Label Description"; } Label_type { String ioos_category "Unknown"; String long_name "Label Type"; } 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, 12.5; 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 39062.0, 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 116, 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 -79.0, -5.0; 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 540, 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 -125.0, -2.83316; String ioos_category "Bathymetry"; String long_name "Bathymetric Depth"; } file_folder { String ioos_category "Unknown"; String long_name "File Folder"; } file_path { String ioos_category "Unknown"; String long_name "File Path"; } } NC_GLOBAL { String annotation_procedure "https://ssc.s4oceandata.eu/Document_standards_annotations.pdf"; String cdm_data_type "Other"; String Conventions "COARDS, CF-1.10, ACDD-1.3"; Float64 Easternmost_Easting 6.2690099; Float64 geospatial_lat_max 53.2250985; Float64 geospatial_lat_min 37.0058; String geospatial_lat_units "degrees_north"; Float64 geospatial_lon_max 6.2690099; Float64 geospatial_lon_min -9.393733; String geospatial_lon_units "degrees_east"; Float64 geospatial_vertical_max -5.0; Float64 geospatial_vertical_min -79.0; String geospatial_vertical_positive "down"; String geospatial_vertical_units "m"; String history "2025-02-05T04:00:43Z (local files) 2025-02-05T04:00:43Z https://ssc.s4oceandata.eu/erddap/tabledap/ecoss_db_annotated_sounds_metadata.html"; String infoUrl "https://ecoss.ctnaval.com/"; String institution "ECoSS project"; String keywords "amplification, amplification_gain, audio, bathymetric, Bathymetric_Depth, bathymetry, campaign, channels, check, code, compressed, contact, count, country, CountryCode, data, dataset, date, depth, duration, file, floor, format, frequency, gain, hydrophone, hydrophone_number, identifier, institution, label, LabelClass, LabelDescription, LabelSource, LabelType, latitude, local, longitude, max, merged, metadata, metadata_quality, min, N_channels, name, noise, noise_floor, number, owner, path, quality, rate, recorder, sample, sample_width, sensitivity, signal, sound, source, start, start_time, startdate, station, statistics, system, system_frequency, table, test, time, train, type, width, zone"; String license "Creative Commons Attribution Share-Alike http://www.opendefinition.org/licenses/cc-by-sa"; Float64 Northernmost_Northing 53.2250985; 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 37.0058; String standard_name_vocabulary "CF Standard Name Table v70"; String summary "This dataset focuses on real-time or in-situ sound signatures from marine environments. These sounds have been validated and labelled by experts (team members) and are harmonized in terms of characteristics, metadata, and format. It serves a dual purpose: as a training set to refine the AI algorithm and as a test set to validate its performance."; String title "ECoSS - DB of annotated sounds - METADATA"; Float64 Westernmost_Easting -9.393733; } }
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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
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followed by a collection of
constraints (e.g., variable<value),
each preceded by '&' (which is interpreted as "AND").
For details, see the tabledap Documentation.