ru32-20241021T1701 Delayed Mode Raw Time Series

Deployment of a Slocum glider to perform seasonal surveys of dissolved oxygen concentrations in the shallow coastal waters of New Jersey.  This deployment is part of the New Jersey Department of Environmental Protection's yearly coastal waters oxygen monitoring efforts.  This glider carried a CTD, Seabird Scientific ECO triplet fluorescence-backscatter-chlorophyll a sensor, and Aanderaa dissolved oxygen sensor. Delayed mode dataset.

cdm_data_type = Trajectory
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
source_file (Source data file)
platform (ru32 Slocum G2)
instrument_flbbcdslc (ECO Puck Triplet FLBBCD-SLC)
instrument_optode (AA Optode 4831)
instrument_rbrctd (RBR Legato3 CTD)
c_fin (rad)
c_flbbcd_num_fields_to_send (nodim)
c_flbbcd_on (sec)
c_heading (rad)
c_oxy4_num_fields_to_send (nodim)
c_oxy4_on (sec)
c_pitch (rad)
c_roll (rad)
c_wpt_lat (lat)
c_wpt_lon (lon)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
m_altitude (m)
m_appear_to_be_at_surface (bool)
... (78 more variables)


ru05-20090826T1701 Delayed Mode Science Profiles

Deployment of a Slocum glider to perform seasonal surveys of dissolved oxygen concentrations in the shallow coastal waters of New Jersey.  This deployment is part of the New Jersey Department of Environmental Protection's yearly coastal waters oxygen monitoring efforts.  This glider carried a CTD, Seabird Scientific ECO triplet fluorescence-backscatter-chlorophyll a sensor, and Aanderaa dissolved oxygen sensor. Delayed mode dataset.

cdm_data_type = TrajectoryProfile
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
profile_id
profile_lat (Profile Center Latitude, degrees_north)
profile_lon (Profile Center Longitude, degrees_east)
source_file (Source data file)
platform (ru05 Slocum G1)
instrument_bb3slo (WET Labs ECO BB3SLO)
instrument_bbfl2slo (WET Labs ECO BBFL2-SLO)
instrument_ctd (SBE CT Sail)
instrument_optode (AA Optode 3835)
bb3slo_timestamp (sci_bb3slo_timestamp, seconds since 1970-01-01T00:00:00Z)
bbfl2s_timestamp (sci_bbfl2s_timestamp, seconds since 1970-01-01T00:00:00Z)
beta_470nm (Beta 470nm at 117 degrees, m-1 sr-1)
beta_470nm_reference (Beta 470nm Reference at 117 degrees, m-1 sr-1)
beta_470nm_signal (Beta 470nm Signal at 117 degrees, m-1 sr-1)
beta_532nm (Beta 532nm at 117 degrees, m-1 sr-1)
beta_532nm_reference (Beta 532nm Reference at 117 degrees, m-1 sr-1)
beta_532nm_signal (Beta 532nm Signal at 117 degrees, m-1 sr-1)
beta_660nm (Beta 660nm at 117 degrees, m-1 sr-1)
... (90 more variables)


ru16-20100820T1425 Delayed Mode Raw Time Series

Deployment of a Slocum glider to perform seasonal surveys of dissolved oxygen concentrations in the shallow coastal waters of New Jersey.  This deployment is part of the New Jersey Department of Environmental Protection's yearly coastal waters oxygen monitoring efforts.  This glider carried a CTD, Seabird Scientific ECO triplet fluorescence-backscatter-chlorophyll a sensor, and Aanderaa dissolved oxygen sensor. Delayed mode dataset.

cdm_data_type = Trajectory
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
source_file (Source data file)
platform (ru16 Slocum G1)
instrument_bbfl2slo (WET Labs ECO BBFL2-SLO)
instrument_ctd (SBE CT Sail)
instrument_optode (AA Optode 3835)
c_bbfl2s_num_fields_to_send (nodim)
c_bbfl2s_on (sec)
c_ctd41cp_num_fields_to_send (nodim)
c_fin (rad)
c_heading (rad)
c_oxy3835_num_fields_to_send (nodim)
c_oxy3835_on (sec)
c_oxy3835_wphase_num_fields_to_send (nodim)
c_oxy3835_wphase_on (sec)
c_pitch (rad)
c_roll (rad)
c_wpt_lat (lat)
c_wpt_lon (lon)
... (73 more variables)


ru16-20100901T1445 Delayed Mode Raw Time Series


ru16-20101102T1739 Delayed Mode Raw Time Series


ru26d-20111120T1554 Delayed Mode Raw Time Series

The purpose of this glider mission is to take cross sections of temperature and salinity in the continental shelf near Palmer Station. The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth. Delayed mode dataset.

cdm_data_type = Trajectory
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
source_file (Source data file)
platform (ru26d Slocum G2)
instrument_bb2flslk (WET Labs ECO BB2FL-SLK)
instrument_ctd (SBE CT Sail)
instrument_optode (AA Optode 5013W)
c_bb2flsV2_num_fields_to_send (nodim)
c_bb2flsV2_on (sec)
c_ctd41cp_num_fields_to_send (nodim)
c_fin (rad)
c_heading (rad)
c_oxy3835_num_fields_to_send (nodim)
c_oxy3835_on (sec)
c_oxy3835_wphase_num_fields_to_send (nodim)
c_oxy3835_wphase_on (sec)
c_pitch (rad)
c_roll (rad)
c_wpt_lat (lat)
... (74 more variables)


maracoos_05-20250404T1319 Delayed Mode Raw Time Series

This project supports the deployment and real-time data delivery of autonomous underwater gliders in the coastal ocean in support of the MARACOOS project and is being deployed to monitor the development of the spring bloom.  This is the spring MARACOOS northern W deployment for 2025. The glider will be deployed out of New Bedford, Massachusetts. The glider will fly SSW out to the shelf, then NW towards Hudson canyon, back SE toward the shelf near the end of the Rutgers Eline, then back into Tuckerton. Delayed mode dataset.

cdm_data_type = Trajectory
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
source_file (Source data file)
platform (maracoos_05 Slocum G3S)
instrument_adcp (Nortek Glider1000 AD2CP)
instrument_ctd (Sea-Bird Slocum Glider GPCTD)
instrument_flbbcdslc (ECO Puck Triplet FLBBCD-SLC)
instrument_optode (AA Optode 4831)
c_ad2cp_on (sec)
c_ctd41cp_num_fields_to_send (nodim)
c_fin (rad)
c_flbbcd_num_fields_to_send (nodim)
c_flbbcd_on (sec)
c_heading (rad)
c_oxy4_num_fields_to_send (nodim)
c_oxy4_on (sec)
c_pitch (rad)
c_roll (rad)
c_wpt_lat (lat)
... (79 more variables)


ud_134-20110115T2355 Delayed Mode Raw Time Series

The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth. Delayed mode dataset.

cdm_data_type = Trajectory
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
source_file (Source data file)
platform (ud_134 Slocum G1)
instrument_ctd (SBE CT Sail)
instrument_flbbcdslk (WETLabs ECO FLBBCD-SLK)
instrument_optode (AA Optode 3835)
c_ctd41cp_num_fields_to_send (nodim)
c_fin (rad)
c_flbbcd_num_fields_to_send (nodim)
c_flbbcd_on (sec)
c_heading (rad)
c_oxy3835_num_fields_to_send (nodim)
c_oxy3835_on (sec)
c_oxy3835_wphase_num_fields_to_send (nodim)
c_oxy3835_wphase_on (sec)
c_pitch (rad)
c_roll (rad)
c_wpt_lat (lat)
c_wpt_lon (lon)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
... (75 more variables)


ud_134-20110110T2238 Delayed Mode Raw Time Series


ru44-20251010T0042 Delayed Mode Raw Time Series

The project supports the assessment and development of an open ocean seaweed farming demonstration facility near Cebu City, Philippines. The project will provide a framework for assessing the potential to increase carbon dioxide sequestration in the ocean. Assessing the seaweed farm potential will require the capability for assessing the biogeochemical impacts associated with the seaweed farm and the corresponding environmental footprint on the regional systems. The glider will be deployed in an ocean monitoring program to sample the oceanographic and ecological parameters, providing a baseline dataset to inform potential environmental impacts of seaweed farms. The goal is for sustained spatial sampling around the seaweed farm to map both the upstream and downstream conditions. The glider is equipped with a Seabird CTD, a WETLabs FLBBCD ECO puck configured for simultaneous chlorophyll fluorescence, colored dissolved organic matter, and optical backscatter measurements, an Aanderaa Optode for measuring dissolved oxygen, and a Seabird SUNA for measuring nitrate concentrations. Delayed mode dataset.

cdm_data_type = Trajectory
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
source_file (Source data file)
platform (ru44 Slocum G3S)
instrument_ctd (Sea-Bird Slocum Glider GPCTD)
instrument_flbbcdslc (ECO Puck Triplet FLBBCD-SLC)
instrument_optode (AA Optode 4831)
instrument_suna (Submersible Ultraviolet Nitrate Analyser V2 (SUNA V2))
c_ctd41cp_num_fields_to_send (nodim)
c_fin (rad)
c_flbbcd_num_fields_to_send (nodim)
c_flbbcd_on (sec)
c_heading (rad)
... (87 more variables)


ru44-20250311T0126 Delayed Mode Raw Time Series


ru44-20250717T2326 Delayed Mode Raw Time Series


ru44-20250306T0038 Delayed Mode Raw Time Series


ru44-20250325T0438 Delayed Mode Raw Time Series


ru36-20221102T1157 Delayed Mode Raw Time Series

The Predictions of AcousticS with Smart Experimental Networks of GlidERS (PASSENGERS) project is a partnership between universities and the Naval Research Laboratory to improve the capability of data-assimilative ocean models to predict acoustic propagation in dynamic oceanography environments. It includes the deployment of teams of gliders in small (10 km) spatial footprints with integrated passive acoustics focused on mapping the physical and acoustic environment in the dynamic region of the Atlantis II Seamounts. Delayed mode dataset.

cdm_data_type = Trajectory
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
source_file (Source data file)
platform (Slocum Glider ru36)
instrument_adcp (ADCP)
instrument_ctd_rbr (RBR CTD)
instrument_hydrophone (Loggerhead LS1 Hydrophone)
c_dvl_on (sec)
c_fin (rad)
c_heading (rad)
c_pitch (rad)
c_roll (rad)
c_wpt_lat (lat)
c_wpt_lon (lon)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
m_altitude (m)
m_appear_to_be_at_surface (bool)
m_coulomb_amphr (amp-hrs)
m_depth (Depth, m)
... (84 more variables)


maracoos_05-20240619T1716 Delayed Mode Raw Time Series

This project supports the deployment and real-time data delivery of autonomous underwater gliders in the coastal ocean to better resolve and understand essential ocean features and processes that contribute to hurricane intensification or weakening prior to making landfall. This includes a partnership between the Integrated Ocean Observing System (IOOS) regional associations such as MARACOOS, SECOORA, CariCOOS and institutions including the University of Puerto Rico, University of the Virgin Islands, Skidaway Institute of Oceanography, University of Delaware, and Rutgers University. The goal of the project is to provide real-time data for ocean model validation and assimilation throughout hurricane season. This project is supported by the Disaster Recovery Act. This glider was supported by MARACOOS and deployed out of Tuckerton, NJ and will sample a triangle pattern out toward the shelf-break. Delayed mode dataset.

cdm_data_type = Trajectory
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
source_file (Source data file)
platform (maracoos_05 Slocum G3S)
instrument_adcp (Nortek Glider1000 AD2CP)
instrument_ctd (Sea-Bird Slocum Glider GPCTD)
instrument_flbbcdslc (ECO Puck Triplet FLBBCD-SLC)
instrument_optode (AA Optode 4831)
c_ad2cp_on (sec)
c_ctd41cp_num_fields_to_send (nodim)
c_fin (rad)
c_flbbcd_num_fields_to_send (nodim)
c_flbbcd_on (sec)
c_heading (rad)
c_oxy4_num_fields_to_send (nodim)
... (81 more variables)


maracoos_05-20241011T1741 Delayed Mode Raw Time Series


maracoos_02-20210716T1814 Delayed Mode Science Profiles

This project supports the deployment and realtime data delivery of autonomous underwater gliders in the coastal ocean to better resolve and understand essential ocean features and processes that contribute to hurricane intensification or weakening prior to making landfall. This is a partnership between NOAA Ocean and Atmospheric Research (OAR) through the Atlantic Oceanographic and Meteorological Laboratory (AOML) and Integrated Ocean Observing System (IOOS) regional associations such as MARACOOS, SECOORA, CariCOOS and institutions including the University of Puerto Rico, University of the Virgin Islands, Skidaway Institute of Oceanography, University of Delaware, and Rutgers University. The goal of the project is to provide realtime data for ocean model validation and assimilation throughout hurricane season. This project is supported by the Disaster Recovery Act. This glider was supported by MARACOOS and deployed out of Tuckerton, NJ and will sample a triangle pattern out toward the shelf-break. Delayed mode dataset.

cdm_data_type = TrajectoryProfile
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
profile_id
profile_lat (Profile Center Latitude, degrees_north)
profile_lon (Profile Center Longitude, degrees_east)
source_file (Source data file)
platform (Slocum Glider maracoos_02)
instrument_adcp (ADCP)
instrument_ctd (Conductivity, Temperature, Depth (CTD) Sensor)
instrument_flbbcdslc (ECO Triplet Puck)
instrument_optode (Oxygen Optode)
beta_700nm (Beta 700nm at 117 degrees, m-1 sr-1)
beta_700nm_reference (Beta 700nm Reference at 117 degrees, m-1 sr-1)
beta_700nm_signal (Beta 700nm Signal at 117 degrees, m-1 sr-1)
... (90 more variables)


maracoos_02-20211020T1322 Delayed Mode Science Profiles


maracoos_02-20210820T1546 Delayed Mode Science Profiles


maracoos_05-20240801T1650 Delayed Mode Raw Time Series


maracoos_02-20210503T1937 Delayed Mode Science Profiles

This project supports the deployment and realtime data delivery of autonomous underwater gliders in the coastal ocean to better resolve and understand essential ocean features and processes that contribute to hurricane intensification or weakening prior to making landfall. This is a partnership between NOAA Ocean and Atmospheric Research (OAR) through the Atlantic Oceanographic and Meteorological Laboratory (AOML) and Integrated Ocean Observing System (IOOS) regional associations such as MARACOOS, SECOORA, CariCOOS and institutions including the University of Puerto Rico, University of the Virgin Islands, Skidaway Institute of Oceanography, University of Delaware, and Rutgers University. The goal of the project is to provide realtime data for ocean model validation and assimilation throughout hurricane season. This project is supported by the Disaster Recovery Act. The glider was deployed out of Tuckerton, NJ and will transect offshore along the Endurance line to the shelf break, south along the break then back toward Tuckerton, NJ with an inshore point at about 30 meters depth. This dataset contains CTD measurements from both a Seabird Scientific pumped CTD and an RBRlegato3 inductive CTD. This is the fourth deployment of this glider of the 2020 Atlantic hurricane season with the same mission objectives as the previous. This is a ‘check-out’ deployment for the newly purchased glider to determine if there are any hardware issues that need to be addressed ahead of hurricane season. Delayed mode dataset

cdm_data_type = TrajectoryProfile
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
profile_id
profile_lat (Profile Center Latitude, degrees_north)
profile_lon (Profile Center Longitude, degrees_east)
source_file (Source data file)
platform (Slocum Glider maracoos_02)
instrument_adcp (ADCP)
instrument_ctd (Conductivity, Temperature, Depth (CTD) Sensor)
... (95 more variables)


ru44-20250528T2328 Delayed Mode Raw Time Series

The project supports the assessment and development of an open ocean seaweed farming demonstration facility near Cebu City, Philippines. The project will provide a framework for assessing the potential to increase carbon dioxide sequestration in the ocean. Assessing the seaweed farm potential will require the capability for assessing the biogeochemical impacts associated with the seaweed farm and the corresponding environmental footprint on the regional systems. The glider will be deployed in an ocean monitoring program to sample the oceanographic and ecological parameters, providing a baseline dataset to inform potential environmental impacts of seaweed farms. The goal is for sustained spatial sampling around the seaweed farm to map both the upstream and downstream conditions. The glider is equipped with a Seabird CTD, a WETLabs FLBBCD ECO puck configured for simultaneous chlorophyll fluorescence, colored dissolved organic matter, and optical backscatter measurements, an Aanderaa Optode for measuring dissolved oxygen, and a Seabird SUNA for measuring nitrate concentrations. Delayed mode dataset.

cdm_data_type = Trajectory
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
source_file (Source data file)
platform (ru44 Slocum G3S)
instrument_ctd (Sea-Bird Slocum Glider GPCTD)
instrument_flbbcdslc (ECO Puck Triplet FLBBCD-SLC)
instrument_optode (AA Optode 4831)
instrument_suna (Submersible Ultraviolet Nitrate Analyser V2 (SUNA V2))
c_ballast_pumped (cc)
c_battpos (in)
c_ctd41cp_num_fields_to_send (nodim)
c_fin (rad)
c_flbbcd_num_fields_to_send (nodim)
... (94 more variables)


ru36-20220223T1807 Delayed Mode Science Profiles

This project is focused on collecting data for onboard glider processing from an Acoustic Doppler Current Profiler (ADCP). This is specifically targeted at collecting data down to 1000 meters for development of onboard processing algorithms in a bench-top processor environment. Future deployments will include integrated processors carrying out onboard processing at sea. Delayed mode dataset.

cdm_data_type = TrajectoryProfile
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
profile_id
profile_lat (Profile Center Latitude, degrees_north)
profile_lon (Profile Center Longitude, degrees_east)
source_file (Source data file)
platform (Slocum Glider ru36)
instrument_adcp (ADCP)
instrument_ctd_rbr (RBR CTD)
instrument_optode (Oxygen Optode)
conductivity (S m-1)
conductivity_hysteresis_test
conductivity_qartod_climatology_test
conductivity_qartod_flat_line_test
conductivity_qartod_gross_range_test
conductivity_qartod_rate_of_change_test
conductivity_qartod_spike_test
conductivity_qartod_summary_flag
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (kg m-3)
... (104 more variables)


ru36-20220413T2107 Delayed Mode Raw Time Series

This project is focused on collecting data for onboard glider processing from an Acoustic Doppler Current Profiler (ADCP). This is specifically targeted at collecting data down to 1000 meters for development of onboard processing algorithms in a bench-top processor environment. Future deployments will include integrated processors carrying out onboard processing at sea. Delayed mode dataset.

cdm_data_type = Trajectory
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
source_file (Source data file)
platform (Slocum Glider ru36)
instrument_adcp (ADCP)
instrument_ctd_rbr (RBR CTD)
instrument_optode (Oxygen Optode)
c_dvl_on (sec)
c_fin (rad)
c_heading (rad)
c_oxy4_num_fields_to_send (nodim)
c_oxy4_on (sec)
c_pitch (rad)
c_roll (rad)
c_wpt_lat (lat)
c_wpt_lon (lon)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
m_altitude (m)
m_appear_to_be_at_surface (bool)
m_coulomb_amphr (amp-hrs)
... (98 more variables)


ru33-20201203T1521 Delayed Mode Raw Time Series

This project supports the deployment and realtime data delivery of autonomous underwater gliders in the coastal ocean to better resolve and understand essential ocean features and processes that contribute to hurricane intensification or weakening prior to making landfall. This is a partnership between NOAA Ocean and Atmospheric Research (OAR) through the Atlantic Oceanographic and Meteorological Laboratory (AOML) and Integrated Ocean Observing System (IOOS) regional associations such as MARACOOS, SECOORA, CariCOOS and institutions including the University of Puerto Rico, University of the Virgin Islands, Skidaway Institute of Oceanography, University of Delaware, and Rutgers University. The goal of the project is to provide realtime data for ocean model validation and assimilation throughout hurricane season. This project is supported by the Disaster Recovery Act. The glider was deployed out of Tuckerton, NJ and transected offshore along the Endurance line to the shelf break, south along the break then back toward Tuckerton, NJ with an inshore point at about 30 meters depth. This dataset contains CTD measurements from both a Seabird Scientific pumped CTD and an RBRlegato3 inductive CTD. This is the fourth deployment of this glider of the 2020 Atlantic hurricane season with the same mission objectives as the previous. Delayed mode dataset.

cdm_data_type = Trajectory
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
source_file (Source data file)
platform (Slocum Glider ru33)
instrument_adcp (ADCP)
instrument_ctd (Conductivity, Temperature, Depth (CTD) Sensor)
instrument_ctd_rbr (RBR CTD)
c_ctd41cp2_num_fields_to_send (nodim)
c_ctd41cp2_on (sec)
c_dvl_on (sec)
... (97 more variables)


ru33-20201014T1746 Delayed Mode Raw Time Series

This project supports the deployment and realtime data delivery of autonomous underwater gliders in the coastal ocean to better resolve and understand essential ocean features and processes that contribute to hurricane intensification or weakening prior to making landfall. This is a partnership between NOAA Ocean and Atmospheric Research (OAR) through the Atlantic Oceanographic and Meteorological Laboratory (AOML) and Integrated Ocean Observing System (IOOS) regional associations such as MARACOOS, SECOORA, CariCOOS and institutions including the University of Puerto Rico, University of the Virgin Islands, Skidaway Institute of Oceanography, University of Delaware, and Rutgers University. The goal of the project is to provide realtime data for ocean model validation and assimilation throughout hurricane season. This project is supported by the Disaster Recovery Act. The glider was deployed out of Tuckerton, NJ and transected offshore along the Endurance line to the shelf break, south along the break then back toward Tuckerton, NJ with an inshore point at about 30 meters depth. This dataset contains CTD measurements from both a Seabird Scientific pumped CTD and an RBRlegato3 inductive CTD. This is the second deployment of this glider of the 2020 Atlantic hurricane season with the same mission objectives as the previous. Delayed mode dataset.

cdm_data_type = Trajectory
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
source_file (Source data file)
platform (Slocum Glider ru33)
instrument_adcp (ADCP)
instrument_ctd (Conductivity, Temperature, Depth (CTD) Sensor)
instrument_ctd_rbr (RBR CTD)
c_ctd41cp2_num_fields_to_send (nodim)
c_ctd41cp2_on (sec)
c_dvl_on (sec)
... (97 more variables)


ud_134-20111221T2030 Delayed Mode Raw Time Series

The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth. Delayed mode dataset.

cdm_data_type = Trajectory
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
source_file (Source data file)
platform (ud_134 Slocum G1)
instrument_ctd (SBE CT Sail)
instrument_flbbcdslk (WETLabs ECO FLBBCD-SLK)
instrument_optode (AA Optode 3835)
instrument_vsf (WETLabs ECO-VSF)
c_ctd41cp_num_fields_to_send (nodim)
c_fin (rad)
c_flbbcd_num_fields_to_send (nodim)
c_flbbcd_on (sec)
c_heading (rad)
c_oxy3835_num_fields_to_send (nodim)
c_oxy3835_on (sec)
c_oxy3835_wphase_num_fields_to_send (nodim)
c_oxy3835_wphase_on (sec)
c_pitch (rad)
c_roll (rad)
c_vsf_num_fields_to_send (nodim)
c_vsf_on (sec)
... (94 more variables)


ru05-20090826T1701 Delayed Mode Raw Time Series

Deployment of a Slocum glider to perform seasonal surveys of dissolved oxygen concentrations in the shallow coastal waters of New Jersey.  This deployment is part of the New Jersey Department of Environmental Protection's yearly coastal waters oxygen monitoring efforts.  This glider carried a CTD, Seabird Scientific ECO triplet fluorescence-backscatter-chlorophyll a sensor, and Aanderaa dissolved oxygen sensor. Delayed mode dataset.

cdm_data_type = Trajectory
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
source_file (Source data file)
platform (ru05 Slocum G1)
instrument_bb3slo (WET Labs ECO BB3SLO)
instrument_bbfl2slo (WET Labs ECO BBFL2-SLO)
instrument_ctd (SBE CT Sail)
instrument_optode (AA Optode 3835)
c_bb3slo_num_fields_to_send (nodim)
c_bb3slo_on (sec)
c_bbfl2s_num_fields_to_send (nodim)
c_bbfl2s_on (sec)
c_ctd41cp_num_fields_to_send (nodim)
c_fin (rad)
c_heading (rad)
c_oxy3835_num_fields_to_send (nodim)
c_oxy3835_on (sec)
c_oxy3835_wphase_num_fields_to_send (nodim)
c_oxy3835_wphase_on (sec)
c_pitch (rad)
... (93 more variables)


ru36-20220223T1807 Delayed Mode Raw Time Series

This project is focused on collecting data for onboard glider processing from an Acoustic Doppler Current Profiler (ADCP). This is specifically targeted at collecting data down to 1000 meters for development of onboard processing algorithms in a bench-top processor environment. Future deployments will include integrated processors carrying out onboard processing at sea. Delayed mode dataset.

cdm_data_type = Trajectory
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
source_file (Source data file)
platform (Slocum Glider ru36)
instrument_adcp (ADCP)
instrument_ctd_rbr (RBR CTD)
instrument_optode (Oxygen Optode)
c_air_pump (enum)
c_ballast_pumped (cc)
c_battpos (in)
c_climb_target_depth (m)
c_de_oil_vol (cc)
c_dive_target_depth (m)
c_dvl_on (sec)
c_fin (rad)
c_heading (rad)
c_oxy4_num_fields_to_send (nodim)
c_oxy4_on (sec)
c_pitch (rad)
c_roll (rad)
... (147 more variables)


maracoos_02-20210820T1546 Delayed Mode Raw Time Series

This project supports the deployment and realtime data delivery of autonomous underwater gliders in the coastal ocean to better resolve and understand essential ocean features and processes that contribute to hurricane intensification or weakening prior to making landfall. This is a partnership between NOAA Ocean and Atmospheric Research (OAR) through the Atlantic Oceanographic and Meteorological Laboratory (AOML) and Integrated Ocean Observing System (IOOS) regional associations such as MARACOOS, SECOORA, CariCOOS and institutions including the University of Puerto Rico, University of the Virgin Islands, Skidaway Institute of Oceanography, University of Delaware, and Rutgers University. The goal of the project is to provide realtime data for ocean model validation and assimilation throughout hurricane season. This project is supported by the Disaster Recovery Act. This glider was supported by MARACOOS and deployed out of Tuckerton, NJ and will sample a triangle pattern out toward the shelf-break. Delayed mode dataset.

cdm_data_type = Trajectory
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
source_file (Source data file)
platform (Slocum Glider maracoos_02)
instrument_adcp (ADCP)
instrument_ctd (Conductivity, Temperature, Depth (CTD) Sensor)
instrument_flbbcdslc (ECO Triplet Puck)
instrument_optode (Oxygen Optode)
c_ctd41cp_num_fields_to_send (nodim)
c_dvl_on (sec)
c_fin (rad)
c_flbbcd_num_fields_to_send (nodim)
c_flbbcd_on (sec)
c_heading (rad)
... (129 more variables)


maracoos_02-20210716T1814 Delayed Mode Raw Time Series


maracoos_02-20211020T1322 Delayed Mode Raw Time Series


maracoos_02-20210503T1937 Delayed Mode Raw Time Series

This project supports the deployment and realtime data delivery of autonomous underwater gliders in the coastal ocean to better resolve and understand essential ocean features and processes that contribute to hurricane intensification or weakening prior to making landfall. This is a partnership between NOAA Ocean and Atmospheric Research (OAR) through the Atlantic Oceanographic and Meteorological Laboratory (AOML) and Integrated Ocean Observing System (IOOS) regional associations such as MARACOOS, SECOORA, CariCOOS and institutions including the University of Puerto Rico, University of the Virgin Islands, Skidaway Institute of Oceanography, University of Delaware, and Rutgers University. The goal of the project is to provide realtime data for ocean model validation and assimilation throughout hurricane season. This project is supported by the Disaster Recovery Act. The glider was deployed out of Tuckerton, NJ and will transect offshore along the Endurance line to the shelf break, south along the break then back toward Tuckerton, NJ with an inshore point at about 30 meters depth. This dataset contains CTD measurements from both a Seabird Scientific pumped CTD and an RBRlegato3 inductive CTD. This is the fourth deployment of this glider of the 2020 Atlantic hurricane season with the same mission objectives as the previous. This is a ‘check-out’ deployment for the newly purchased glider to determine if there are any hardware issues that need to be addressed ahead of hurricane season. Delayed mode dataset

cdm_data_type = Trajectory
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
source_file (Source data file)
platform (Slocum Glider maracoos_02)
instrument_adcp (ADCP)
instrument_ctd (Conductivity, Temperature, Depth (CTD) Sensor)
instrument_flbbcdslc (ECO Triplet Puck)
instrument_optode (Oxygen Optode)
c_ctd41cp_num_fields_to_send (nodim)
... (134 more variables)


ru36-20221102T1157 Delayed Mode Science Profiles

The Predictions of AcousticS with Smart Experimental Networks of GlidERS (PASSENGERS) project is a partnership between universities and the Naval Research Laboratory to improve the capability of data-assimilative ocean models to predict acoustic propagation in dynamic oceanography environments. It includes the deployment of teams of gliders in small (10 km) spatial footprints with integrated passive acoustics focused on mapping the physical and acoustic environment in the dynamic region of the Atlantis II Seamounts. Delayed mode dataset.

cdm_data_type = TrajectoryProfile
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
profile_id
profile_lat (Profile Center Latitude, degrees_north)
profile_lon (Profile Center Longitude, degrees_east)
source_file (Source data file)
platform (Slocum Glider ru36)
instrument_adcp (ADCP)
instrument_ctd_rbr (RBR CTD)
instrument_hydrophone (Loggerhead LS1 Hydrophone)
conductivity (Raw Conductivity, S m-1)
conductivity_hysteresis_test (Conductivity Hysteresis Test Quality Flag)
conductivity_qartod_climatology_test (Climatology Test Quality Flag)
conductivity_qartod_flat_line_test (Flat Line Test Quality Flag)
conductivity_qartod_gross_range_test (Gross Range Test Quality Flag)
conductivity_qartod_rate_of_change_test (Rate Of Change Test Quality Flag)
conductivity_qartod_spike_test (Spike Test Quality Flag)
conductivity_qartod_summary_flag (QARTOD Summary Quality Flag)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
... (89 more variables)


ru36-20220413T2107 Delayed Mode Science Profiles

This project is focused on collecting data for onboard glider processing from an Acoustic Doppler Current Profiler (ADCP). This is specifically targeted at collecting data down to 1000 meters for development of onboard processing algorithms in a bench-top processor environment. Future deployments will include integrated processors carrying out onboard processing at sea. Delayed mode dataset.

cdm_data_type = TrajectoryProfile
VARIABLES:
time (m_present_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (CTD Depth, m)
trajectory (Trajectory/Deployment Name)
profile_id
profile_lat (Profile Center Latitude, degrees_north)
profile_lon (Profile Center Longitude, degrees_east)
source_file (Source data file)
platform (Slocum Glider ru36)
instrument_adcp (ADCP)
instrument_ctd_rbr (RBR CTD)
instrument_optode (Oxygen Optode)
conductivity (Raw Conductivity, S m-1)
conductivity_hysteresis_test (Conductivity Hysteresis Test Quality Flag)
conductivity_qartod_climatology_test (Climatology Test Quality Flag)
conductivity_qartod_flat_line_test (Flat Line Test Quality Flag)
conductivity_qartod_gross_range_test (Gross Range Test Quality Flag)
conductivity_qartod_rate_of_change_test (Rate Of Change Test Quality Flag)
conductivity_qartod_spike_test (Spike Test Quality Flag)
conductivity_qartod_summary_flag (QARTOD Summary Quality Flag)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (kg m-3)
... (100 more variables)