* The List of All Active Datasets in this ERDDAP *

This dataset is a table which has a row of information for each dataset currently active in this ERDDAP.

cdm_data_type = Other
VARIABLES:
datasetID (Dataset ID)
accessible
institution
dataStructure (Data Structure)
cdm_data_type (Common Data Model Type)
class (ERDDAP Class)
title
minLongitude (Minimum Longitude, degrees_east)
maxLongitude (Maximum Longitude, degrees_east)
longitudeSpacing (Average Grid Longitude Spacing, degrees_east)
minLatitude (Minimum Latitude, degrees_north)
maxLatitude (Maximum Latitude, degrees_north)
latitudeSpacing (Average Grid Latitude Spacing, degrees_north)
minAltitude (Minimum Altitude (or negative Depth), m)
maxAltitude (Maximum Altitude (or negative Depth), m)
minTime (Minimum Time, seconds since 1970-01-01T00:00:00Z)
maxTime (Maximum Time, seconds since 1970-01-01T00:00:00Z)
timeSpacing (Average Grid Time Spacing, seconds)
griddap (Base URL of OPeNDAP Grid Service)
subset (URL of Subset Web Page)
tabledap (Base URL of OPeNDAP Table/Sequence Service)
MakeAGraph (URL of Make-A-Graph Web Page)
sos (Base URL of SOS Service)
wcs (Base URL of WCS Service)
wms (Base URL of WMS Service)
files (Base URL of "files" Service)
... (10 more variables)


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.

cdm_data_type = Other
VARIABLES:
url
name (File Name)
lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)
size (bytes)


ECoSS - DB of annotated sounds - METADATA

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.

cdm_data_type = Other
VARIABLES:
UniqueID (Unique ID)
longitude (degrees_east)
latitude (degrees_north)
File
Enhanced4AI
Test (Original Audio File Test)
Train (Original Audio File Train)
Label_source
Label_class
Label_description
Label_type
Recorder
Recorder_no
N_channels
amplification_gain
startdate
system_frequency
hydrophone
hydrophone_number
sensitivity
depth (m)
Campaign
EDMO
CountryCode (Country Code)
Bathymetric_Depth
file_folder
file_path


This database is dedicated to synthetic sounds, i.e. real sounds that have been cut and pasted to create clean sources for AI training. These soundtracks consist of real underwater acoustic emissions repeated twice, already labelled and with fixed features such as sampling rate, duration, and signal-to-noise ratio (S/N). The synthetic sounds database served as the primary training dataset.

cdm_data_type = Other
VARIABLES:
url
name (File Name)
lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)
size (bytes)


ECoSS - DB of enhanced4AI sounds - METADATA

This database is dedicated to synthetic sounds, i.e. real sounds that have been cut and pasted to create clean sources for AI training. These soundtracks consist of real underwater acoustic emissions repeated twice, already labelled and with fixed features such as sampling rate, duration, and signal-to-noise ratio (S/N). The synthetic sounds database served as the primary training dataset.

cdm_data_type = Other
VARIABLES:
UniqueID (Unique ID)
longitude (degrees_east)
latitude (degrees_north)
File
Enhanced4AI
Test (Original Audio File Test)
Train (Original Audio File Train)
Label_source
Label_class
Label_description
Label_type
Recorder
Recorder_no
N_channels
amplification_gain
startdate
system_frequency
hydrophone
hydrophone_number
sensitivity
depth (m)
Campaign
EDMO
... (4 more variables)


This database consists of all the data under CC0/CC-BY license collected during the project. It is used for further validation of the AI tools and as a source for new sound signatures.

cdm_data_type = Other
VARIABLES:
url
name (File Name)
lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)
size (bytes)


This dataset contains sound signatures specifically used to test and evaluate the performance of the AI classifier.

cdm_data_type = Other
VARIABLES:
url
name (File Name)
lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)
size (bytes)


ECoSS - DB of sounds for testing - METADATA

This dataset contains sound signatures specifically used to test and evaluate the performance of the AI classifier.

cdm_data_type = Other
VARIABLES:
UniqueID (Unique ID)
longitude (degrees_east)
latitude (degrees_north)
File
Enhanced4AI
Test (Original Audio File Test)
Train (Original Audio File Train)
Recorder
Recorder_no
N_channels
amplification_gain
startdate
system_frequency
hydrophone
hydrophone_number
sensitivity
depth (m)
Campaign
EDMO
CountryCode (Country Code)
Bathymetric_Depth
folder_file
file_path


ECoSS - DB of sounds for training - DATA

This dataset contains sound signatures specifically used to train the AI classifier.

cdm_data_type = Other
VARIABLES:
url
name (File Name)
lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)
size (bytes)


ECoSS - DB of sounds for training - METADATA

This dataset contains sound signatures specifically used to train the AI classifier.

cdm_data_type = Other
VARIABLES:
UniqueID (Unique ID)
longitude (degrees_east)
latitude (degrees_north)
File
Enhanced4AI
Test (Original Audio File Test)
Train (Original Audio File Train)
Recorder
Recorder_no
N_channels
amplification_gain
startdate
system_frequency
hydrophone
hydrophone_number
sensitivity
depth (m)
Campaign
EDMO
CountryCode (Country Code)
Bathymetric_Depth
folder_file
file_path