http://lod.bco-dmo.org/id/dataset/928732
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2024-05-25
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Depth profiles from Seagliders 146, 147, 148, 511, 512, and 626 in a total of 18 missions at Station ALOHA in the North Pacific Subtropical Gyre from 2008-2023
2025-01-03
publication
2025-01-03
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2025-02-07
publication
https://doi.org/10.26008/1912/bco-dmo.928732.1
Sara Ferrón
University of Hawaiʻi at Mānoa
principalInvestigator
David M. Karl
University of Hawaiʻi at Mānoa
principalInvestigator
Benedetto Barone
University of Hawaiʻi at Mānoa
principalInvestigator
Catherine Garcia
University of Hawaiʻi at Mānoa
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Garcia, C., Barone, B., Ferrón, S., Poulos, S., Karl, D. M. (2025) Depth profiles from Seagliders 146, 147, 148, 511, 512, and 626 in a total of 18 missions at Station ALOHA in the North Pacific Subtropical Gyre from 2008-2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-01-02 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.928732.1 [access date]
Dataset Description: <p>This BCO-DMO dataset page contains supporting metadata and CSV formatted datasets for seaglider deployments from 2008 to 2023. Additional NetCDF formatted datasets, containing parameters in the CSV formatted datasets along with&nbsp;raw data and QC values, for seaglider deployments from 2008 to 2023&nbsp;are available at Zenodo, DOI: 10.5281/zenodo.10416616. See the “Related Datasets” section.</p>
<p>All the seaglider deployments dataset files have the same parameters which are defined on this dataset page. Individual seaglider deployments did not measure all of the parameters, though, e.g. either bbp650 or bbp660, and in that case, values are left blank for unmeasured parameters.&nbsp;</p>
<p>Parameters in common with the NetCDF formatted datasets and the CSV formatted datasets are: ISO_DateTime_UTC, lat, lon, depth, divenum, direction, temp, cond, salin, sigma, oxygen, chla, bbp470, bbp470_spikeflag, bbp650, bbp650_spikeflag, bbp660, bbp660_spikeflag,&nbsp;bbp700, and bbp700_spikeflag.</p>
<p>Parameters specific to the CSV formatted datasets are:&nbsp;seaglider_deployment, seaglider_platform, and seaglider_mission.</p>
<p>Additional parameters included in the NetCDF files are pressure, pitch, raw data, chla_spikeflag, and QC flags: press, pitch, oxygen_raw, &nbsp;chla_raw, chla_spikeflag, bbp470_raw, bbp650_raw,&nbsp;bbp660_raw, bbp700_raw, temp_qcflag, cond_qcflag, salin_qcflag, sigma_qcflag, oxygen_qcflag, chla_qcflag, bbp470_qcflag, bbp650_qcflag, bbp660_qcflag, and bbp700_qcflag</p>
<p>The supplemental file seaglider_deployments_metadata.csv contains the locations and dates of each seaglider deployment and recovery via ships and small boats along with the locations and dates of data collection for each seaglider deployment. Additional metadata columns with flags of True or False were included to indicate if the following parameters are measured in an individual deployment dataset: oxygen, bbp650, bbp660, and bbp700. These flag columns were added because deployments either measured bbp650&nbsp;or bbp660, and oxygen and bbp700 are not always measured during a deployment.&nbsp;&nbsp;All the seaglider deployments&nbsp;dataset files have&nbsp;the same parameters to enable datasets to&nbsp;be more easily&nbsp;queried and combined programmatically.</p> Methods and Sampling: <p>Vertically resolved data were collected by underwater Seagliders, which are guided autonomous underwater vehicles developed at the University of Washington’s Applied Physics lab (Eriksen et al., 2001). The Seagliders were piloted either in a circular or 'bowtie' pattern for several months in each mission around Station ALOHA.</p>
<p>Gliders were equipped with the sensors to measure temperature and salinity (Seabird CT Sail), pressure (Paine Electronics 211-75-710-05 and Kistler 4260M00), dissolved oxygen (Aandera models 5013 and 4330), chlorophyll fluorescence and optical backscatter at three wavelengths:&nbsp;470 nm, 700 nm, and either 650 or 660 nm&nbsp;(WET Labs ECO Triplet&nbsp;).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2048435 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2048435
completed
Sara Ferrón
University of Hawaiʻi at Mānoa
(808) 956-3420
1950 East West Road
Honolulu
HI
96822
USA
sferron@hawaii.edu
pointOfContact
David M. Karl
University of Hawaiʻi at Mānoa
808-956 8964
C-MORE Hale 1950 East-West Road
Honolulu
HI
96822
USA
dkarl@hawaii.edu
pointOfContact
Benedetto Barone
University of Hawaiʻi at Mānoa
808-956-8779
1050 East West Road
Honolulu
HI
96822
USA
bbarone@hawaii.edu
pointOfContact
Catherine Garcia
University of Hawaiʻi at Mānoa
cathy.garcia@hawaii.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
seaglider_deployment
seaglider_platform
seaglider_mission
ISO_DateTime_UTC
lat
lon
depth
divenum
direction
temp
cond
salin
sigma
oxygen
chla
bbp470
bbp470_spikeflag
bbp650
bbp650_spikeflag
bbp660
bbp660_spikeflag
bbp700
bbp700_spikeflag
Aandera oxygen optode models 5013 and 4330
Paine Electronics Pressure Transducer series 211-75-710, part number 211-75-710-05
Kistler Piezoresistive Pressure Sensor 4260M00
Seabird CT Sail
Seaglider
WET Labs ECO Triplet
theme
None, User defined
deployment number
platform
No BCO-DMO term
ISO_DateTime_UTC
latitude
longitude
depth
dive_id
water temperature at measurement depth
conductivity
salinity
dissolved Oxygen
chlorophyll a
bbp470
flag
bbp650
bbp660
bbp700
featureType
BCO-DMO Standard Parameters
Aanderaa Oxygen Optodes
Pressure Sensor
Pressure Sensor
Sea-Bird CT Sail CTD
Seaglider
Wet Labs ECO Triplet
instrument
BCO-DMO Standard Instruments
KM0814
KM0820
KM0918
KM1217
KM1309
KM1409
KM1427
KM2013
KOK0917
KOK1204
KOK0917
KOK1205
KM0914
KM0916
KM1316
KM1412
KM1702
KM2010
KM2305
KM2306
KM2311
KOK1107
KOK1707
TN258
Karl_Station_Aloha_Hawaii_Red_Raven
Karl_Station_Aloha_Hawaii_Ms_Mahi
KM2309
KOK1106c
service
Deployment Activity
North Pacific Subtropical Gyre north of Hawaii, near (25.5 N, 156.0 W).
Hawaiian Islands - Stations Kahe, ALOHA, Kena and WHOTS Mooring
Station ALOHA, an oligotrophic station 100 miles north of Oahu, Hawaii (22.75N, 158W)
North of Hawaiian Islands, Pacific Ocean
Station ALOHA
North Pacific Ocean
Station ALOHA, an oligotrophic station 100 miles north of Oahu, Hawaii (22.75 N, 158 W)
Hawaiian Islands
Hawaiian Islands, HOT Site
Hawaiian Islands, HOT Site
11 miles off Haleiwa, Hawaii
North of Oahu, Hawaii
Alaska off Seward to Hawaiian Islands
place
Locations
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Oligotrophic ocean metabolism from underwater glider observations
https://osprey.bco-dmo.org/project/833929
Oligotrophic ocean metabolism from underwater glider observations
<p><em>NSF Award Abstract:</em><br />
Aquatic photosynthesis and respiration rates regulate the flux of organic matter into the ocean’s interior, a process that impacts Earth’s climate by sequestering carbon dioxide from the atmosphere and that provides most of the energy necessary to support the requirements of the organisms inhabiting the dark depths of the ocean. Recent improvements in sensor technology enabled the estimation of photosynthesis and respiration using accurate measurements of the concentration of oxygen dissolved in seawater collected by autonomous underwater vehicles and floats, even in regions of the ocean with low biological activity such as the subtropical gyres.</p>
<p>This project is analyzing data collected in the North Pacific ocean during 7 years using autonomous underwater vehicles in order to obtain an unprecedented number of estimates of metabolic rates for a region of the ocean that is representative of one of the largest oceanic ecosystems. This novel analysis helps constrain the amount of oxygen produced in the sea and improves our understanding of how variations in photosynthesis and respiration influence the flux of organic carbon towards the bottom of the ocean. Two undergraduate students from the University of Hawaii are supported and trained as part of this project. This project is analyzing publicly available observations of temperature, salinity, dissolved oxygen, chlorophyll fluorescence, and optical backscatter collected using underwater gliders in the North Pacific Subtropical Gyre between 2008 and 2014 (>1,000 days of observations). The analyses are used to: (i) quantify in situ rates of gross primary production and respiration in the mixed layer from diel oxygen oscillations, and determine their short-term variability and seasonality; (ii) quantify the net biological oxygen production (both in the mixed layer and in the lower euphotic zone) and determine its seasonality; (iii) quantify annual net community production, from which one can infer the net biological flux of organic C into the ocean’s interior; and (iv) assess how temporal changes in biomass are linked to changes in metabolic rates by comparing oxygen-based metabolic rates with optical proxies of phytoplankton biomass (backscatter and chlorophyll fluorescence). This investigation will better constrain the role of the ocean in regulating Earth’s climate by improved understanding of the mechanisms driving the temporal variability of metabolic rates in the oligotrophic ocean that covers a large fraction of our planet.</p>
Glider Ocean Metabolism
largerWorkCitation
project
eng; USA
oceans
North Pacific Subtropical Gyre north of Hawaii, near (25.5 N, 156.0 W).; Hawaiian Islands - Stations Kahe, ALOHA, Kena and WHOTS Mooring; Station ALOHA, an oligotrophic station 100 miles north of Oahu, Hawaii (22.75N, 158W); North of Hawaiian Islands, Pacific Ocean; Station ALOHA; North Pacific Ocean; Station ALOHA, an oligotrophic station 100 miles north of Oahu, Hawaii (22.75 N, 158 W); Hawaiian Islands; Hawaiian Islands, HOT Site; Hawaiian Islands, HOT Site; 11 miles off Haleiwa, Hawaii; North of Oahu, Hawaii; Alaska off Seward to Hawaiian Islands
-160.55633364
-156.47122547
20.31742889
23.78321667
2008-08-14
2023-08-13
North Pacific Subtropical Gyre
0
BCO-DMO catalogue of parameters from Depth profiles from Seagliders 146, 147, 148, 511, 512, and 626 in a total of 18 missions at Station ALOHA in the North Pacific Subtropical Gyre from 2008-2023
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/943516.rdf
Name: seaglider_deployment
Units: unitless
Description: <p>Seaglider deployment</p>
http://lod.bco-dmo.org/id/dataset-parameter/943517.rdf
Name: seaglider_platform
Units: unitless
Description: <p>Seaglider platform</p>
http://lod.bco-dmo.org/id/dataset-parameter/943518.rdf
Name: seaglider_mission
Units: unitless
Description: <p>Seaglider mission</p>
http://lod.bco-dmo.org/id/dataset-parameter/943519.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: <p>Date and time (UTC) in ISO8601 format</p>
http://lod.bco-dmo.org/id/dataset-parameter/943520.rdf
Name: lat
Units: decimal degrees
Description: <p>latitude, South is negative</p>
http://lod.bco-dmo.org/id/dataset-parameter/943521.rdf
Name: lon
Units: decimal degrees
Description: <p>longitude, West is negative</p>
http://lod.bco-dmo.org/id/dataset-parameter/943522.rdf
Name: depth
Units: meters (m)
Description: <p>Depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/943523.rdf
Name: divenum
Units: unitless
Description: <p>Dive number</p>
http://lod.bco-dmo.org/id/dataset-parameter/943524.rdf
Name: direction
Units: unitless
Description: <p>Profile direction (down or up)</p>
http://lod.bco-dmo.org/id/dataset-parameter/943525.rdf
Name: temp
Units: degrees Celsius
Description: <p>Temperature</p>
http://lod.bco-dmo.org/id/dataset-parameter/943526.rdf
Name: cond
Units: millisiemens/centimeter (mS cm-1)
Description: <p>Conductivity</p>
http://lod.bco-dmo.org/id/dataset-parameter/943527.rdf
Name: salin
Units: gram/kilogram (g/kg)
Description: <p>Absolute Salinity</p>
http://lod.bco-dmo.org/id/dataset-parameter/943528.rdf
Name: sigma
Units: kilogram/cubic meter (kg/m^3)
Description: <p>Potential Density Anomaly wrt 0 db</p>
http://lod.bco-dmo.org/id/dataset-parameter/943529.rdf
Name: oxygen
Units: micromole/Liter (umol/L)
Description: <p>Dissolved oxygen concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/943530.rdf
Name: chla
Units: miligram/cubic meter (mg/m^3)
Description: <p>Chlorophyll a concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/943531.rdf
Name: bbp470
Units: reciprocal meter (m^-1)
Description: <p>Particle Backscattering Coefficient (470 nm)</p>
http://lod.bco-dmo.org/id/dataset-parameter/943532.rdf
Name: bbp470_spikeflag
Units: unitless
Description: <p>Particle Backscattering Coefficient (470 nm) spike flag ( 0= no spikes and 1 = spikes)</p>
http://lod.bco-dmo.org/id/dataset-parameter/943533.rdf
Name: bbp650
Units: reciprocal meter (m^-1)
Description: <p>Particle Backscattering Coefficient (650 nm)</p>
http://lod.bco-dmo.org/id/dataset-parameter/943534.rdf
Name: bbp650_spikeflag
Units: unitless
Description: <p>Particle Backscattering Coefficient (650 nm) spike flag ( 0= no spikes and 1 = spikes)</p>
http://lod.bco-dmo.org/id/dataset-parameter/943535.rdf
Name: bbp660
Units: reciprocal meter (m^-1)
Description: <p>Particle Backscattering Coefficient (660 nm)</p>
http://lod.bco-dmo.org/id/dataset-parameter/943536.rdf
Name: bbp660_spikeflag
Units: unitless
Description: <p>Particle Backscattering Coefficient (660 nm) spike flag ( 0= no spikes and 1 = spikes)</p>
http://lod.bco-dmo.org/id/dataset-parameter/943537.rdf
Name: bbp700
Units: reciprocal meter (m^-1)
Description: <p>Particle Backscattering Coefficient (700 nm)</p>
http://lod.bco-dmo.org/id/dataset-parameter/943538.rdf
Name: bbp700_spikeflag
Units: unitless
Description: <p>Particle Backscattering Coefficient (700 nm) spike flag ( 0= no spikes and 1 = spikes)</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
1208485430
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https://doi.org/10.26008/1912/bco-dmo.928732.1
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onLine
dataset
<p>Vertically resolved data were collected by underwater Seagliders, which are guided autonomous underwater vehicles developed at the University of Washington’s Applied Physics lab (Eriksen et al., 2001). The Seagliders were piloted either in a circular or 'bowtie' pattern for several months in each mission around Station ALOHA.</p>
<p>Gliders were equipped with the sensors to measure temperature and salinity (Seabird CT Sail), pressure (Paine Electronics 211-75-710-05 and Kistler 4260M00), dissolved oxygen (Aandera models 5013 and 4330), chlorophyll fluorescence and optical backscatter at three wavelengths:&nbsp;470 nm, 700 nm, and either 650 or 660 nm&nbsp;(WET Labs ECO Triplet&nbsp;).</p>
Specified by the Principal Investigator(s)
<p>The raw observations were quality-controlled, accounting for known sensor responses and deviations from factory calibrations. Detailed descriptions of the data processing, quality control metrics, and calibration methods are provided by Garcia et al. (2023;&nbsp;https://doi.org/10.5281/zenodo.10416616).&nbsp;Quality control steps included a pitch angle test (to detect density inversions), global and regional range tests, stuck value test, biofouling evidence test, and visual inspection.&nbsp;If a test passed, the data were assigned a QC value of 1 (‘good data’). If a test failed (e.g. out of range or density inversion tests), data were flagged, either as ‘questionable data’ (QC = 3) or as ‘bad data’ (QC = 4). All quality control flags and adjustments (i.e. calibration and correction parameters) are preserved in each mission’s file.&nbsp;&nbsp;Code for all processing steps is available on GitHub:&nbsp;https://github.com/cathygarcia/SeagliderDataprocessing.</p>
<p>Data processing steps for each variable are summarized below:</p>
<p><strong>Temperature, Conductivity, Salinity, and Potential Density Anomaly</strong></p>
<ul>
<li>Both temperature and conductivity profiles were lag corrected.</li>
<li>Practical salinity was calculated using the Gibbs Seawater Toolbox&nbsp;(McDougall et al., 2011), (gsw_SP_from_C.m), and then converted to absolute salinity (gsw_SA_from_SP.m).&nbsp;</li>
<li>Potential density anomaly was calculated with respect to a reference water pressure of 0 db using the Gibbs Seawater Toolbox (gsw_sigma0.m).</li>
</ul>
<p><strong>Dissolved oxygen concentrations</strong></p>
<ul>
<li>Raw optode phase values proceeded through a series of corrections to account for the effects of temperature, salinity, pressure, and time response in addition to sensor drift (Bittig et al., 2018, Barone et al., 2019).</li>
<li>Optode phase values were converted to dissolved oxygen concentrations, and re-calibrated using discrete Winkler measurements.&nbsp;</li>
</ul>
<p><strong>Chlorophyll&nbsp;a</strong></p>
<ul>
<li>Factory-calibrated chlorophyll&nbsp;<em>a</em>&nbsp;observations were re-calibrated using discrete measurements of either HPLC chlorophyll&nbsp;<em>a&nbsp;</em>(16 missions) or fluorometric chlorophyll&nbsp;<em>a</em>&nbsp;(2 missions).</li>
<li>Daytime chlorophyll&nbsp;<em>a</em>&nbsp;values are not quench corrected, and may be lower than actual values. It is recommended to use nighttime profiles near the surface.&nbsp;</li>
</ul>
<p><strong>Backscattering coefficient due to particles (bbp)</strong></p>
<ul>
<li>Factory-calibrated bbp values could have a large offset, that was not expected based on natural variability.</li>
<li>A mission-specific deep dark correction (1st percentile of bbp at 190-200 m) was subtracted for each bbp dataset. Both the uncorrected and corrected data are available.</li>
<li>Additionally, a spike flag is included based on published protocol (Briggs et al., 2011).</li>
</ul>
Specified by the Principal Investigator(s)
I. Submitted files were processed with the BCO-DMO dataset processing tool Laminar
Overview
The following Seaglider datasets, one for each deployment, were submitted to BCO-DMO as Excel worksheets with two sheets in each file, a sheet with the dataset and a sheet with dataset metadata:
sg146_4_qc_pass.xlsx, sg146_6_qc_pass.xlsx, sg146_9_qc_pass.xlsx
sg146_5_qc_pass.xlsx, sg146_7_qc_pass.xlsx sg147_4_qc_pass.xlsx
sg148_11_qc_pass.xlsx sg148_16_qc_pass.xlsx sg148_8_qc_pass.xlsx
sg148_12_qc_pass.xlsx sg148_6_qc_pass.xlsx sg148_9_qc_pass.xlsx
sg511_21_qc_pass.xlsx
sg512_1_qc_pass.xlsx sg512_3_qc_pass.xlsx sg512_4_qc_pass.xlsx
sg626_1_qc_pass.xlsx, sg626_4_qc_pass.xlsx
These files were processed and combined in 3 different ways. 1) First the submitted files were processed for each deployment. These processed datasets were saved using the naming format of 928732_suppl_seaglider_obs_sta_aloha_<deployment>.csv where <deployment> is the seaglider deployment id. These files are in the “Supplemental Files” section of the BCO-DMO dataset page. 2) Second, the submitted files were processed for each deployment and then deployment datasets in the same year were combined. The deployments for 2010 and 2011 overlapped, so a combined dataset was created using both 2010 and 2011 deployment datasets. These processed datasets were saved using the naming format of 928732_suppl_seaglider_obs_sta_aloha_<year>.csv where <year> is the common year or years of deployment. These files are in the “Data Files” section of the BCO-DMO dataset page. 3) Third, the datasets where deployments were combined by year in Laminar were all combined into one dataset spanning the years 2008 to 2023. The processed combined dataset was saved as 928732_v1_seaglider_observations_sta_aloha_2008_2023.csv. This file is in the “Data Files” section of the BCO-DMO dataset page.
Processing common to each of the 3 datasets processing steps
Using the BCO-DMO laminar data processing tool, each submitted seaglider Excel file with the naming format of <deployment>_qc_pass.xlsx where <deployment> is the lower-cased deployment value, e.g. sg146_4 were loaded into Laminar. The datasets spanned from 2008 to 2023. The Excel sheets labeled ‘Data’ were used as the deployment datasets to process.
Columns were added to each deployment dataset for any parameters not recorded in the deployment to have all datasets contain the same parameters. For example, if the parameter bbp650 is missing from a dataset because it was not measured for a deployment, an empty parameter column named bbp650 was added. Possible missing measured parameters include one or more of the following: oxygen, bbp650, bbp660, and bbp700.
Three columns containing the seaglider deployment ID, seaglider platform ID, and seaglider mission number were added to each deployment dataset to differentiate the datasets. The parameter ‘time’ was renamed to the BCO-DMO parameter name ‘ISO_DateTime_UTC’ to better represent the parameter containing UTC datetime values in the ISO8601 format. The latitude and longitude values were rounded from 10 to 8 digit precision which is approximately a resolution of 1.11 mm. The columns were reordered so that all deployment datasets have the same column order.
1) Processing for individual deployments
These individual deployment processed datasets using the common processing steps described earlier were saved using the naming format of 928732_suppl_seaglider_obs_sta_aloha_<deployment>.csv where <deployment> is the seaglider deployment id. These files are in the “Supplemental Files” section of the BCO-DMO dataset page.
2) Processing to combined deployments by year
These individual deployment processed datasets using the common processing steps described earlier were combined by deployment year. The deployments for 2010 and 2011 overlapped, so a combined dataset was created using both 2010 and 2011 deployment datasets. These combined processed datasets were saved using the naming format of 928732_suppl_seaglider_obs_sta_aloha_<year>.csv where <year> is the common year or years of deployment. These files are in the “Data Files” section of the BCO-DMO dataset page.
3) Processing to combine all deployments
The yearly combined processed datasets created in step 2 were combined into one dataset. The processed combined dataset was saved as 928732_v1_seaglider_observations_sta_aloha_2008_2023.csv. This file is in the “Data Files” section of the BCO-DMO dataset page.
II. Metadata table created
After the files were processed with Laminar, a metadata table was created using information from the BCO-DMO submission and the deployment datasets. The metadata table was saved as the file seaglider_deployments_metadata.csv in the ‘Supplemental Files’ section on the BCO-DMO dataset page. The definitions of the parameters in the metadata table were saved in the file parameters_for_seaglider_deployments_metadata.csv in the ‘Supplemental Files’ section on the BCO-DMO dataset page.
This metadata table contains the locations and dates of each seaglider deployment and recovery via ships and small boats along with the locations and dates of data collection for each seaglider deployment. Additional metadata columns with flags of True or False were included to indicate if the following parameters are measured in an individual deployment dataset: oxygen, bbp650, bbp660, and bbp700. These flag columns were added because deployments either measured bbp650 or bbp660, and oxygen and bbp700 are not always measured during a deployment.
Specified by BCO-DMO Data Managers
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
Aandera oxygen optode models 5013 and 4330
Aandera oxygen optode models 5013 and 4330
PI Supplied Instrument Name: Aandera oxygen optode models 5013 and 4330 Instrument Name: Aanderaa Oxygen Optodes Instrument Short Name:AOO Instrument Description: Aanderaa Oxygen Optodes are instrument for monitoring oxygen in the environment. For instrument information see the Aanderaa Oxygen Optodes Product Brochure. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/351/
Paine Electronics Pressure Transducer series 211-75-710, part number 211-75-710-05
Paine Electronics Pressure Transducer series 211-75-710, part number 211-75-710-05
PI Supplied Instrument Name: Paine Electronics Pressure Transducer series 211-75-710, part number 211-75-710-05 Instrument Name: Pressure Sensor Instrument Short Name:Pressure Sensor Instrument Description: A pressure sensor is a device used to measure absolute, differential, or gauge pressures. It is used only when detailed instrument documentation is not available.
Kistler Piezoresistive Pressure Sensor 4260M00
Kistler Piezoresistive Pressure Sensor 4260M00
PI Supplied Instrument Name: Kistler Piezoresistive Pressure Sensor 4260M00 Instrument Name: Pressure Sensor Instrument Short Name:Pressure Sensor Instrument Description: A pressure sensor is a device used to measure absolute, differential, or gauge pressures. It is used only when detailed instrument documentation is not available.
Seabird CT Sail
Seabird CT Sail
PI Supplied Instrument Name: Seabird CT Sail Instrument Name: Sea-Bird CT Sail CTD Instrument Short Name:SBE CT Sail Instrument Description: Description taken from NERC: https://vocab.nerc.ac.uk/collection/L22/current/TOOL1188/
A self-contained unpumped unit comprising the temperature, conductivity and pressure sensors that is designed specifically for deployment on ocean gliders. The sensors are typically installed externally on the hull of the glider. These are OEM products with variable specifications; they are calibrated in a calibration fixture at Sea-Bird, removed from that fixture, and installed in a housing that Sea-Bird does not know or have control over. Additionally, sensor performance is dependent on flow rate through the cell and water column temperature and salinity gradients.
More information can be found in the following document
OceanGliders (n.d.). OceanGliders Salinity SOP. https://oceangliderscommunity.github.io/Salinity_SOP/
Seaglider
Seaglider
PI Supplied Instrument Name: Seaglider Instrument Name: Seaglider Instrument Short Name:Seaglider Instrument Description: The Seaglider is an autonomous underwater vehicle developed through a collaboration between The Applied Physics Laboratory -University of Washington and the University of Washington School of Oceanography. These small, free-swimming vehicles can gather conductivity-temperature-depth (CTD) data from the ocean for months at a time and transmit it to shore in near-real time via satellite data telemetry. Seagliders make oceanographic measurements traditionally collected by research vessels or moored instruments. They can survey along a transect, profile at a fixed location, and can be commanded to alter their sampling strategies throughout a mission.
WET Labs ECO Triplet
WET Labs ECO Triplet
PI Supplied Instrument Name: WET Labs ECO Triplet Instrument Name: Wet Labs ECO Triplet Instrument Short Name:Triplet Instrument Description: The Wet Labs ECO Triplet is a special-order, three-optical-sensor instrument available from WET Labs (wetlabs.com) in a user-defined configuration. The Triplet addresses the need for multiple simultaneous scattering and fluorescence sensors for autonomous vehicles and unattended measurement platforms. For example, possible configurations include any combination of three of the following: Blue scattering, Green scattering, Red scattering, Chlorophyll fluorescence, CDOM fluorescence, Phycoerythrin fluorescence, Phycocyanin fluorescence, Rhodamine fluorescence, or Uranine (fluorescein) fluorescence.
Cruise: KM0814
KM0814
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM0814
Dr Zbigniew Kolber
Monterey Bay Aquarium Research Institute
Cruise: KM0820
KM0820
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM0820
Susan E. Curless
University of Hawai'i
http://hahana.soest.hawaii.edu/hot/cruises.html
Report describing KM0820
Cruise: KM0918
KM0918
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM0918
Susan E. Curless
University of Hawai'i
http://hahana.soest.hawaii.edu/hot/cruises.html
Report describing KM0918
Cruise: KM1217
KM1217
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM1217
Sonya T. Dyhrman
Woods Hole Oceanographic Institution
Cruise: KM1309
KM1309
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM1309
Dr Karin Björkman
University of Hawai'i
Cruise: KM1409
KM1409
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM1409
Samuel T. Wilson
University of Hawai'i
Cruise: KM1427
KM1427
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM1427
Samuel T. Wilson
University of Hawai'i
Cruise: KM2013
KM2013
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM2013
Fernando Santiago-Mandujano
University of Hawai'i
Cruise: KOK0917
KOK0917
R/V Ka`imikai-O-Kanaloa
Community Standard Description
International Council for the Exploration of the Sea
R/V Ka`imikai-O-Kanaloa
vessel
KOK0917
Paul J. Lethaby
University of Hawai'i
http://hahana.soest.hawaii.edu/hot/cruises.html
Report describing KOK0917
Cruise: KOK1204
KOK1204
R/V Ka`imikai-O-Kanaloa
Community Standard Description
International Council for the Exploration of the Sea
R/V Ka`imikai-O-Kanaloa
vessel
KOK1204
Dr Tara M. Clemente
University of Hawaiʻi at Mānoa
Cruise: KOK0917
KOK0917
R/V Ka`imikai-O-Kanaloa
Community Standard Description
International Council for the Exploration of the Sea
R/V Ka`imikai-O-Kanaloa
vessel
KOK0917
Paul J. Lethaby
University of Hawai'i
http://hahana.soest.hawaii.edu/hot/cruises.html
Report describing KOK0917
Cruise: KOK1205
KOK1205
R/V Ka`imikai-O-Kanaloa
Community Standard Description
International Council for the Exploration of the Sea
R/V Ka`imikai-O-Kanaloa
vessel
KOK1205
Susan E. Curless
University of Hawai'i
Cruise: KM0914
KM0914
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM0914
Matthew J. Church
University of Hawai'i
Cruise: KM0916
KM0916
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM0916
Albert Plueddemann
Woods Hole Oceanographic Institution
Cruise: KM1316
KM1316
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM1316
Dr Tara M. Clemente
University of Hawai'i
Cruise: KM1412
KM1412
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM1412
Matthew J. Church
University of Hawai'i
Cruise: KM1702
KM1702
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM1702
R. Walter Deppe
University of Hawai'i
Cruise: KM2010
KM2010
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM2010
Daniel W. Sadler
University of Hawai'i
Cruise: KM2305
KM2305
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM2305
Tully Rohrer
University of Hawai'i
Cruise: KM2306
KM2306
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM2306
Carolina Funkey
University of Hawai'i
Cruise: KM2311
KM2311
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM2311
Fernando Santiago-Mandujano
University of Hawai'i
Cruise: KOK1107
KOK1107
R/V Ka`imikai-O-Kanaloa
Community Standard Description
International Council for the Exploration of the Sea
R/V Ka`imikai-O-Kanaloa
vessel
KOK1107
Susan E. Curless
University of Hawai'i
Cruise: KOK1707
KOK1707
R/V Ka`imikai-O-Kanaloa
Community Standard Description
International Council for the Exploration of the Sea
R/V Ka`imikai-O-Kanaloa
vessel
KOK1707
Daniel W. Sadler
University of Hawai'i
Cruise: TN258
TN258
R/V Thomas G. Thompson
Community Standard Description
International Council for the Exploration of the Sea
R/V Thomas G. Thompson
vessel
TN258
Craig Nosse
University of Hawai'i
Cruise: Karl_Station_Aloha_Hawaii_Red_Raven
Karl_Station_Aloha_Hawaii_Red_Raven
small boat: Red Raven
vessel
Karl_Station_Aloha_Hawaii_Red_Raven
David M. Karl
University of Hawaiʻi at Mānoa
Cruise: Karl_Station_Aloha_Hawaii_Ms_Mahi
Karl_Station_Aloha_Hawaii_Ms_Mahi
small boat: Ms Mahi
vessel
Karl_Station_Aloha_Hawaii_Ms_Mahi
David M. Karl
University of Hawaiʻi at Mānoa
Cruise: KM2309
KM2309
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM2309
Treyson Gillespie
University Corporation for Atmospheric Research
Cruise: KOK1106c
KOK1106c
R/V Ka`imikai-O-Kanaloa
Community Standard Description
International Council for the Exploration of the Sea
R/V Ka`imikai-O-Kanaloa
vessel
KOK1106c
David M. Karl
University of Hawai'i
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
R/V Ka`imikai-O-Kanaloa
Community Standard Description
International Council for the Exploration of the Sea
R/V Ka`imikai-O-Kanaloa
vessel
R/V Thomas G. Thompson
Community Standard Description
International Council for the Exploration of the Sea
R/V Thomas G. Thompson
vessel
small boat: Red Raven
vessel