ioos-gliderdac-unit-191-20160710T2018 eng UTF8 dataset service Data Engineer Axiom Data Science 907-555-5555 1016 W 6th Ave, Ste. 105 Anchorage AK 99501 USA dataservices+ioos-erddap@axiomdatascience.com pointOfContact 2026-04-07 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) 4 column row vertical temporal IOOS Glider - Chukchi Sea Glider 7/10/16 - 10/4/16 2018-02-07 creation 2018-02-07 issued erddap.sensors.ioos.us ioos-gliderdac-unit-191-20160710T2018 Brita Irving University of Alaska Fairbanks, College of Fisheries and Ocean Sciences bkirving@alaska.edu https://portal.axds.co/#platform/9f34c3c4-9297-5b43-8041-ca8d198c424e/v2 information web browser Background Information Background information from the source information originator Brita Irving, Peter Winsor, Kathleen M. Stafford, Mark Baumgartner, Hank Statscewich contributor 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, 11 July – 8 September 2015, and from 10 July - 4 october 2016. 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. The Slocum glider was prepared and deployed by Brita Irving and Hank Statscewich (UAF). Deployment was made possible by Rebecca Woodgate (UW), chief scientist of the deployment cruise on the R/V Norseman II. At sea assistance was provided by the captain and crew of the R/V Norseman II. Critical engineering support was provided by Keenan Ball, Jim Partan, and Tom Hurst (WHOI). Support for the development of the Arctic marine mammal call library was provided by Alaska Ocean Observing System and support for the preparation of the DMON/LFDCS and preparation and operation of the glider for this study was provided by the North Pacific Research Board. Support for the development and testing of the DMON/LFDCS was provided by the Office of Naval Research, and additional support for integration and testing was provided by the NOAA National Marine Fisheries Service Advanced Sampling Technologies Working Group in collaboration with the Northeast Fisheries Science Centers Passive Acoustics Research Group (leader: Sofie Van Parijs). Brita Irving University of Alaska Fairbanks, College of Fisheries and Ocean Sciences bkirving@alaska.edu https://portal.axds.co/#platform/9f34c3c4-9297-5b43-8041-ca8d198c424e/v2 information web browser Background Information Background information from the source information pointOfContact glider Slocum Spray trajectory underwater glider water wmo theme 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 theme GCMD Science Keywords 2016 Whale Glider project sea_water_electrical_conductivity sea_water_density depth latitude latitude longitude longitude latitude longitude time sea_water_pressure sea_water_electrical_conductivity status_flag sea_water_electrical_conductivity status_flag sea_water_electrical_conductivity status_flag sea_water_electrical_conductivity status_flag sea_water_electrical_conductivity status_flag sea_water_density status_flag sea_water_density status_flag sea_water_density status_flag sea_water_density status_flag sea_water_density status_flag sea_water_pressure status_flag sea_water_pressure status_flag sea_water_pressure status_flag sea_water_pressure status_flag sea_water_pressure status_flag sea_water_pressure status_flag sea_water_practical_salinity status_flag sea_water_practical_salinity status_flag sea_water_practical_salinity status_flag sea_water_practical_salinity status_flag sea_water_practical_salinity status_flag sea_water_temperature status_flag sea_water_temperature status_flag sea_water_temperature status_flag sea_water_temperature status_flag sea_water_temperature status_flag sea_water_practical_salinity sea_water_temperature time time eastward_sea_water_velocity northward_sea_water_velocity theme CF Standard Name Table v27 This data may be redistributed and used without restriction. 2016 Whale Glider largerWorkCitation project Unidata Common Data Model TrajectoryProfile largerWorkCitation project eng geoscientificInformation 1 -168.62822 -157.24043 66.480316 71.13972 seconds 2016-07-10T17:58:09Z 2016-10-04T23:51:49Z -52.40955 0.3667733 IOOS Glider - Chukchi Sea Glider 7/10/16 - 10/4/16 2018-02-07 creation 2018-02-07 issued Brita Irving University of Alaska Fairbanks, College of Fisheries and Ocean Sciences bkirving@alaska.edu https://portal.axds.co/#platform/9f34c3c4-9297-5b43-8041-ca8d198c424e/v2 information web browser Background Information Background information from the source information originator Brita Irving, Peter Winsor, Kathleen M. Stafford, Mark Baumgartner, Hank Statscewich contributor 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, 11 July – 8 September 2015, and from 10 July - 4 october 2016. 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. ERDDAP tabledap 1 -168.62822 -157.24043 66.480316 71.13972 seconds 2016-07-10T17:58:09Z 2016-10-04T23:51:49Z -52.40955 0.3667733 tight ERDDAPtabledapDatasetQueryAndAccess https://erddap.sensors.ioos.us/erddap/tabledap/ioos-gliderdac-unit-191-20160710T2018 ERDDAP:tabledap ERDDAP-tabledap ERDDAP's tabledap service (a flavor of OPeNDAP) for tabular (sequence) data. Add different extensions (e.g., .html, .graph, .das, .dds) to the base URL for different purposes. download IOOS Glider - Chukchi Sea Glider 7/10/16 - 10/4/16 2018-02-07 creation 2018-02-07 issued Brita Irving University of Alaska Fairbanks, College of Fisheries and Ocean Sciences bkirving@alaska.edu https://portal.axds.co/#platform/9f34c3c4-9297-5b43-8041-ca8d198c424e/v2 information web browser Background Information Background information from the source information originator Brita Irving, Peter Winsor, Kathleen M. Stafford, Mark Baumgartner, Hank Statscewich contributor 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, 11 July – 8 September 2015, and from 10 July - 4 october 2016. 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. OPeNDAP 1 -168.62822 -157.24043 66.480316 71.13972 seconds 2016-07-10T17:58:09Z 2016-10-04T23:51:49Z -52.40955 0.3667733 tight OPeNDAPDatasetQueryAndAccess https://erddap.sensors.ioos.us/erddap/tabledap/ioos-gliderdac-unit-191-20160710T2018 OPeNDAP:OPeNDAP OPeNDAP An OPeNDAP service for tabular (sequence) data. Add different extensions (e.g., .html, .das, .dds) to the base URL for different purposes. download IOOS Glider - Chukchi Sea Glider 7/10/16 - 10/4/16 2018-02-07 creation 2018-02-07 issued Brita Irving University of Alaska Fairbanks, College of Fisheries and Ocean Sciences bkirving@alaska.edu https://portal.axds.co/#platform/9f34c3c4-9297-5b43-8041-ca8d198c424e/v2 information web browser Background Information Background information from the source information originator Brita Irving, Peter Winsor, Kathleen M. Stafford, Mark Baumgartner, Hank Statscewich contributor 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, 11 July – 8 September 2015, and from 10 July - 4 october 2016. 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. ERDDAP Subset 1 -168.62822 -157.24043 66.480316 71.13972 seconds 2016-07-10T17:58:09Z 2016-10-04T23:51:49Z -52.40955 0.3667733 tight ERDDAP_Subset https://erddap.sensors.ioos.us/erddap/tabledap/ioos-gliderdac-unit-191-20160710T2018.subset search Subset Web page to facilitate selecting subsets of the dataset download physicalMeasurement conductivity float Sea Water Electrical Conductivity crs int http://www.opengis.net/def/crs/EPSG/0/4326 density float Sea Water Density instrument_ctd byte CTD Metadata lat_uv double Depth-averaged Latitude lon_uv double Depth-averaged Longitude precise_lat double Precise Latitude precise_lon double Precise Longitude precise_time double Precise Time pressure float Sea Water Pressure profile_id int Profile ID qartod_conductivity_flat_line_flag byte QARTOD Flat Line Test for sea_water_electrical_conductivity qartod_conductivity_gross_range_flag byte QARTOD Gross Range Test for sea_water_electrical_conductivity qartod_conductivity_primary_flag byte QARTOD Primary Flag for sea_water_electrical_conductivity qartod_conductivity_rate_of_change_flag byte QARTOD Rate of Change Test for sea_water_electrical_conductivity qartod_conductivity_spike_flag byte QARTOD Spike Test for sea_water_electrical_conductivity qartod_density_flat_line_flag byte QARTOD Flat Line Test for sea_water_density qartod_density_gross_range_flag byte QARTOD Gross Range Test for sea_water_density qartod_density_primary_flag byte QARTOD Primary Flag for sea_water_density qartod_density_rate_of_change_flag byte QARTOD Rate of Change Test for sea_water_density qartod_density_spike_flag byte QARTOD Spike Test for sea_water_density qartod_monotonic_pressure_flag byte QARTOD Pressure Test for sea_water_pressure qartod_pressure_flat_line_flag byte QARTOD Flat Line Test for sea_water_pressure qartod_pressure_gross_range_flag byte QARTOD Gross Range Test for sea_water_pressure qartod_pressure_primary_flag byte QARTOD Primary Flag for sea_water_pressure qartod_pressure_rate_of_change_flag byte QARTOD Rate of Change Test for sea_water_pressure qartod_pressure_spike_flag byte QARTOD Spike Test for sea_water_pressure qartod_salinity_flat_line_flag byte QARTOD Flat Line Test for sea_water_practical_salinity qartod_salinity_gross_range_flag byte QARTOD Gross Range Test for sea_water_practical_salinity qartod_salinity_primary_flag byte QARTOD Primary Flag for sea_water_practical_salinity qartod_salinity_rate_of_change_flag byte QARTOD Rate of Change Test for sea_water_practical_salinity qartod_salinity_spike_flag byte QARTOD Spike Test for sea_water_practical_salinity qartod_temperature_flat_line_flag byte QARTOD Flat Line Test for sea_water_temperature qartod_temperature_gross_range_flag byte QARTOD Gross Range Test for sea_water_temperature qartod_temperature_primary_flag byte QARTOD Primary Flag for sea_water_temperature qartod_temperature_rate_of_change_flag byte QARTOD Rate of Change Test for sea_water_temperature qartod_temperature_spike_flag byte QARTOD Spike Test for sea_water_temperature rowSize int Number of Observations for this Profile salinity float Sea Water Practical Salinity temperature float Sea Water Temperature time double Profile Time time_uv double Depth-averaged Time trajectory byte Trajectory Name trajectoryIndex int The trajectory to which this profile is associated. u double Depth-averaged Eastward Sea Water Velocity v double Depth-averaged Northward Sea Water Velocity wmo_id byte WMO ID Data Engineer Axiom Data Science 907-555-5555 1016 W 6th Ave, Ste. 105 Anchorage AK 99501 USA dataservices+ioos-erddap@axiomdatascience.com distributor OPeNDAP DAP/2.0 https://erddap.sensors.ioos.us/erddap/tabledap/ioos-gliderdac-unit-191-20160710T2018.html order Data Subset Form ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types. download https://erddap.sensors.ioos.us/erddap/tabledap/ioos-gliderdac-unit-191-20160710T2018.graph order Make-A-Graph Form ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data. mapDigital dataset 2018-02-07T18:53:24Z - Created with the GUTILS package: "convert.py"%standard names for qartod flags have changed on 2022-07-01 2025-11-19T18:11:38Z (local files) 2025-11-19T18:11:38Z http://gliders.ioos.us/erddap/tabledap/unit_191-20160710T2018.ncCF This record was created from dataset metadata by ERDDAP Version 2.28.1