U.S. flag

An official website of the United States government

Dot gov

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Https

Secure .gov websites use HTTPS
A lock () or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Breadcrumb

  1. Home

unit_191-20150711T2000

Shipboard observations of marine mammal distribution and habitat are expensive and logistically challenging to collect in Arctic waters. Port facilities are minimal and access to appropriate vessels for spending extended periods of time at sea is extremely limited. Autonomous platforms like gliders provide the capability to collect both oceanographic and passive acoustic data for far longer periods of time (weeks to months) and at significantly reduced costs than traditional shipboard or aerial surveys. We have developed a system to record, detect, classify, and remotely report Arctic and sub-Arctic marine mammal calls in real time from Slocum ocean gliders based on the digital acoustic monitoring (DMON) instrument and the low-frequency detection and classification system (LFDCS). The system was successfully demonstrated for Arctic research during three AOOS-funded studies in the Chukchi Sea during September 2013 and 2014 and from 11 July – 8 September 2015. The joint acoustic-oceanographic data were used to examine the distribution, occurrence, and habitat of marine mammals using in-situ passive acoustic and oceanographic data collected by the glider, and to demonstrate the near real-time detection and reporting capability of the system.

About this Dataset

Updated: 2025-04-21
Metadata Last Updated: 2025-11-17T11:35:22.478Z
Date Created: N/A
Data Provided by:
Dataset Owner: N/A

Access this data

Contact dataset owner Access URL
Table representation of structured data
Title unit_191-20150711T2000
Description Shipboard observations of marine mammal distribution and habitat are expensive and logistically challenging to collect in Arctic waters. Port facilities are minimal and access to appropriate vessels for spending extended periods of time at sea is extremely limited. Autonomous platforms like gliders provide the capability to collect both oceanographic and passive acoustic data for far longer periods of time (weeks to months) and at significantly reduced costs than traditional shipboard or aerial surveys. We have developed a system to record, detect, classify, and remotely report Arctic and sub-Arctic marine mammal calls in real time from Slocum ocean gliders based on the digital acoustic monitoring (DMON) instrument and the low-frequency detection and classification system (LFDCS). The system was successfully demonstrated for Arctic research during three AOOS-funded studies in the Chukchi Sea during September 2013 and 2014 and from 11 July – 8 September 2015. The joint acoustic-oceanographic data were used to examine the distribution, occurrence, and habitat of marine mammals using in-situ passive acoustic and oceanographic data collected by the glider, and to demonstrate the near real-time detection and reporting capability of the system.
Modified 2025-11-17T11:35:22.478Z
Publisher Name N/A
Contact N/A
Keywords glider , Slocum , Spray , trajectory , underwater glider , water , wmo , In Situ Ocean-based platforms > Seaglider , Earth Science > Oceans > Salinity/Density > Salinity , Earth Science > Oceans > Salinity/Density > Density , Earth Science > Oceans > Salinity/Density > Conductivity , Earth Science > Oceans > Ocean Temperature > Water Temperature , Earth Science > Oceans > Ocean Pressure > Water Pressure , AUVS > Autonomous Underwater Vehicles , 2015 Whale Glider , time , latitude , longitude , depth , sea_water_electrical_conductivity , sea_water_density , latitude , longitude , latitude , longitude , time , sea_water_pressure , flat_line_test_quality_flag , gross_range_test_quality_flag , sea_water_electrical_conductivity status_flag , rate_of_change_test_quality_flag , spike_test_quality_flag , flat_line_test_quality_flag , gross_range_test_quality_flag , sea_water_density status_flag , rate_of_change_test_quality_flag , spike_test_quality_flag , location_test_quality_flag , sea_water_pressure status_flag , flat_line_test_quality_flag , gross_range_test_quality_flag , sea_water_pressure status_flag , rate_of_change_test_quality_flag , spike_test_quality_flag , flat_line_test_quality_flag , gross_range_test_quality_flag , sea_water_practical_salinity status_flag , rate_of_change_test_quality_flag , spike_test_quality_flag , flat_line_test_quality_flag , gross_range_test_quality_flag , sea_water_temperature status_flag , rate_of_change_test_quality_flag , spike_test_quality_flag , sea_water_practical_salinity , sea_water_temperature , time , eastward_sea_water_velocity , northward_sea_water_velocity , geoscientificInformation
{
    "identifier": "unit_191-20150711T2000",
    "accessLevel": "public",
    "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Your contact point",
        "hasEmail": "mailto:[email protected]"
    },
    "programCode": [
        "010:000"
    ],
    "landingPage": "",
    "title": "unit_191-20150711T2000",
    "description": "Shipboard observations of marine mammal distribution and habitat are expensive and logistically challenging to collect in Arctic waters.  Port facilities are minimal and access to appropriate vessels for spending extended periods of time at sea is extremely limited.  Autonomous platforms like gliders provide the capability to collect both oceanographic and passive acoustic data for far longer periods of time (weeks to months) and at significantly reduced costs than traditional shipboard or aerial surveys.  We have developed a system to record, detect, classify, and remotely report Arctic and sub-Arctic marine mammal calls in real time from Slocum ocean gliders based on the digital acoustic monitoring (DMON) instrument and the low-frequency detection and classification system (LFDCS). The system was successfully demonstrated for Arctic research during three AOOS-funded studies in the Chukchi Sea during September 2013 and 2014 and from 11 July \u2013 8 September 2015. The joint acoustic-oceanographic data were used to examine the distribution, occurrence, and habitat of marine mammals using in-situ passive acoustic and oceanographic data collected by the glider, and to demonstrate the near real-time detection and reporting capability of the system.",
    "language": "",
    "distribution": [
        {
            "@type": "dcat:Distribution",
            "mediaType": "application\/json",
            "accessURL": "https:\/\/www.ncei.noaa.gov\/metadata\/geoportal\/\/rest\/metadata\/item\/unit_191-20150711T2000"
        },
        {
            "@type": "dcat:Distribution",
            "mediaType": "text\/html",
            "accessURL": "https:\/\/www.ncei.noaa.gov\/metadata\/geoportal\/\/rest\/metadata\/item\/unit_191-20150711T2000\/html"
        },
        {
            "@type": "dcat:Distribution",
            "mediaType": "application\/xml",
            "accessURL": "https:\/\/www.ncei.noaa.gov\/metadata\/geoportal\/\/rest\/metadata\/item\/unit_191-20150711T2000\/xml"
        }
    ],
    "bureauCode": [
        "010:04"
    ],
    "modified": "2025-11-17T11:35:22.478Z",
    "publisher": {
        "@type": "org:Organization",
        "name": "Your Publisher"
    },
    "theme": "",
    "keyword": [
        "glider",
        "Slocum",
        "Spray",
        "trajectory",
        "underwater glider",
        "water",
        "wmo",
        "In Situ Ocean-based platforms > Seaglider",
        "Earth Science > Oceans > Salinity\/Density > Salinity",
        "Earth Science > Oceans > Salinity\/Density > Density",
        "Earth Science > Oceans > Salinity\/Density > Conductivity",
        "Earth Science > Oceans > Ocean Temperature > Water Temperature",
        "Earth Science > Oceans > Ocean Pressure > Water Pressure",
        "AUVS > Autonomous Underwater Vehicles",
        "2015 Whale Glider",
        "time",
        "latitude",
        "longitude",
        "depth",
        "sea_water_electrical_conductivity",
        "sea_water_density",
        "latitude",
        "longitude",
        "latitude",
        "longitude",
        "time",
        "sea_water_pressure",
        "flat_line_test_quality_flag",
        "gross_range_test_quality_flag",
        "sea_water_electrical_conductivity status_flag",
        "rate_of_change_test_quality_flag",
        "spike_test_quality_flag",
        "flat_line_test_quality_flag",
        "gross_range_test_quality_flag",
        "sea_water_density status_flag",
        "rate_of_change_test_quality_flag",
        "spike_test_quality_flag",
        "location_test_quality_flag",
        "sea_water_pressure status_flag",
        "flat_line_test_quality_flag",
        "gross_range_test_quality_flag",
        "sea_water_pressure status_flag",
        "rate_of_change_test_quality_flag",
        "spike_test_quality_flag",
        "flat_line_test_quality_flag",
        "gross_range_test_quality_flag",
        "sea_water_practical_salinity status_flag",
        "rate_of_change_test_quality_flag",
        "spike_test_quality_flag",
        "flat_line_test_quality_flag",
        "gross_range_test_quality_flag",
        "sea_water_temperature status_flag",
        "rate_of_change_test_quality_flag",
        "spike_test_quality_flag",
        "sea_water_practical_salinity",
        "sea_water_temperature",
        "time",
        "eastward_sea_water_velocity",
        "northward_sea_water_velocity",
        "geoscientificInformation"
    ]
}