unit_595_20170713t1730_delayed
eng
UTF8
dataset
service
Axiom Docker Install
Axiom Docker Install
555-555-5555
123 Irrelevant St.
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pointOfContact
2024-03-29
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
4
column
row
vertical
temporal
Glider - unit_595-20170713T1730-delayed
2020-01-10
creation
2020-01-10
issued
erddap.axiomdatascience.com
unit_595_20170713t1730_delayed
Brita Irving
University of Alaska Fairbanks, College of Fisheries and Ocean Sciences
bkirving@alaska.edu
http://data.ioos.us/gliders/erddap/
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, 10 July - 4 october 2016, and from 13 July - 23 August 2017. 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 as well as the preparation and operation of the glider in 2017 was provided by Alaska Ocean Observing System. The glider was procured in 2016 with support from 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
http://data.ioos.us/gliders/erddap/
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
2017 Whale Glider
project
time
latitude
longitude
time
latitude
longitude
eastward_sea_water_velocity
northward_sea_water_velocity
depth
sea_water_pressure
sea_water_electrical_conductivity
sea_water_density
latitude
longitude
time
sea_water_practical_salinity
sea_water_temperature
theme
CF Standard Name Table v27
This data may be redistributed and used without restriction.
2017 Whale Glider
largerWorkCitation
project
Unidata Common Data Model
TrajectoryProfile
largerWorkCitation
project
eng
geoscientificInformation
1
-168.19441
-164.91739
66.4869
68.984825
seconds
2017-07-12T17:33:29Z
2017-08-21T06:33:12Z
-54.54923
-5.569143E-5
Glider - unit_595-20170713T1730-delayed
2020-01-10
creation
2020-01-10
issued
Brita Irving
University of Alaska Fairbanks, College of Fisheries and Ocean Sciences
bkirving@alaska.edu
http://data.ioos.us/gliders/erddap/
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, 10 July - 4 october 2016, and from 13 July - 23 August 2017. 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
-168.19441
-164.91739
66.4869
68.984825
seconds
2017-07-12T17:33:29Z
2017-08-21T06:33:12Z
-54.54923
-5.569143E-5
tight
ERDDAPtabledapDatasetQueryAndAccess
https://erddap.axiomdatascience.com/erddap/tabledap/unit_595_20170713t1730_delayed
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
Glider - unit_595-20170713T1730-delayed
2020-01-10
creation
2020-01-10
issued
Brita Irving
University of Alaska Fairbanks, College of Fisheries and Ocean Sciences
bkirving@alaska.edu
http://data.ioos.us/gliders/erddap/
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, 10 July - 4 october 2016, and from 13 July - 23 August 2017. 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
-168.19441
-164.91739
66.4869
68.984825
seconds
2017-07-12T17:33:29Z
2017-08-21T06:33:12Z
-54.54923
-5.569143E-5
tight
OPeNDAPDatasetQueryAndAccess
https://erddap.axiomdatascience.com/erddap/tabledap/unit_595_20170713t1730_delayed
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
Glider - unit_595-20170713T1730-delayed
2020-01-10
creation
2020-01-10
issued
Brita Irving
University of Alaska Fairbanks, College of Fisheries and Ocean Sciences
bkirving@alaska.edu
http://data.ioos.us/gliders/erddap/
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, 10 July - 4 october 2016, and from 13 July - 23 August 2017. 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
-168.19441
-164.91739
66.4869
68.984825
seconds
2017-07-12T17:33:29Z
2017-08-21T06:33:12Z
-54.54923
-5.569143E-5
tight
ERDDAP_Subset
https://erddap.axiomdatascience.com/erddap/tabledap/unit_595_20170713t1730_delayed.subset
search
Subset
Web page to facilitate selecting subsets of the dataset
download
physicalMeasurement
trajectory
String
Trajectory Name
wmo_id
String
WMO ID
time
double
Profile Time
profile_id
short
Profile ID
time_uv
double
Depth-averaged Time
lat_uv
double
Depth-averaged Latitude
lon_uv
double
Depth-averaged Longitude
u
double
Depth-averaged Eastward Sea Water Velocity
v
double
Depth-averaged Northward Sea Water Velocity
latitude_qc
byte
latitude Variable Quality Flag
longitude_qc
byte
longitude Variable Quality Flag
time_qc
byte
time Variable Quality Flag
depth_qc
byte
depth Variable Quality Flag
pressure
double
Sea Water Pressure
pressure_qc
byte
pressure Variable Quality Flag
conductivity
float
Sea Water Electrical Conductivity
conductivity_qc
byte
conductivity Variable Quality Flag
density
float
Sea Water Density
density_qc
byte
density Variable Quality Flag
precise_lat
double
Precise Latitude
precise_lon
double
Precise Longitude
precise_time
double
Precise Time
precise_lat_qc
byte
precise_lat Variable Quality Flag
precise_lon_qc
byte
precise_lon Variable Quality Flag
precise_time_qc
byte
precise_time Variable Quality Flag
salinity
float
Sea Water Practical Salinity
salinity_qc
byte
salinity Variable Quality Flag
temperature
float
Sea Water Temperature
temperature_qc
byte
temperature Variable Quality Flag
time_uv_qc
byte
time_uv Variable Quality Flag
lat_uv_qc
byte
lat_uv Variable Quality Flag
lon_uv_qc
byte
lon_uv Variable Quality Flag
u_qc
byte
u Variable Quality Flag
v_qc
byte
v Variable Quality Flag
platform_meta
byte
Platform Metadata
instrument_ctd
byte
CTD Metadata
Axiom Docker Install
Axiom Docker Install
555-555-5555
123 Irrelevant St.
Nowhere
AK
99504
USA
nobody@example.com
distributor
OPeNDAP
DAP/2.0
https://erddap.axiomdatascience.com/erddap/tabledap/unit_595_20170713t1730_delayed.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.axiomdatascience.com/erddap/tabledap/unit_595_20170713t1730_delayed.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
2020-01-10T14:26:01Z - Created with the GUTILS package: https://github.com/SECOORA/GUTILS
2020-01-10T15:47:43Z (local files)
2020-01-10T15:47:43Z https://gliders.ioos.us/erddap/tabledap/unit_595-20170713T1730-delayed.ncCF
This record was created from dataset metadata by ERDDAP Version 2.23