http://lod.bco-dmo.org/id/dataset/681042
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
2017-02-07
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Autonomous Behaving Lagrangian Explorer (ABLE) output for 5 taxonomic groups examined from the R/V Cape Horn in the upwelling region of the west coast of California, USA in August 2015
2017-02-15
publication
2017-02-15
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-08-01
publication
https://doi.org/10.1575/1912/bco-dmo.681042.1
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
principalInvestigator
John L. Largier
University of California - Davis: Bodega Marine Laboratory
principalInvestigator
Donna Wolcott
North Carolina State University
principalInvestigator
Thomas G. Wolcott
North Carolina State University
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: Morgan, S., Largier, J., Wolcott, D., Wolcott, T. (2017) Autonomous Behaving Lagrangian Explorer (ABLE) output for 5 taxonomic groups examined from the R/V Cape Horn in the upwelling region of the west coast of California, USA in August 2015. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2017-02-15 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.681042.1 [access date]
Autonomous Behaving Lagrangian Explorer (ABLE) output for 5 taxonomic groups Dataset Description: <p>Autonomous Behaving Lagrangian Explorer (ABLE) output for 5 taxonomic groups (Cyprid, Melibe, Pluteus, Pteropod, and Velella).</p> Methods and Sampling: <p><strong>Sampling:</strong><br />
ABLE 6218 (aka Velella) – constant depth of 3m<br />
ABLE 6155 (aka Cyprid) – diel vertical migration 3-15m, 2.0 cm/s, up 3:00/down 13:00<br />
ABLE 6157 (aka Pteropod) – diel vertical migration 3-15m, 2.0 cm/s, up 3:00/down 13:00<br />
ABLE 5996 (aka Pluteus) – constant depth 15m<br />
ABLE 6031 (aka Melibe) – constant depth 15m</p>
<p>We simulated documented behaviors using the Autonomous Behaving Lagrangian Explorer (ABLE). ABLE, designed by Tom Wolcott,&nbsp;is a biomimetic robotic drifter that senses in situ environmental stimuli (e.g., variations in PAR, pressure, salinity, or temperature). It&nbsp;can be programmed to maintain depth or vertically migrate in response to <em>in-situ</em> variables, like the larvae under study. It can reveal quasi-Lagrangian transport of vertically migrating plankters that swim between water parcels at different depths. ABLE weighs 3 kg and is 36 cm tall, topped by a 15 cm antenna mast. It necessarily integrates water motions at and below its own scale. Consequently, it cannot mimic transport of individual plankters, nor diffusive processes at scales smaller than its own. ABLE best simulates the transport of the centroid of a cloud of plankters that is large relative to its own dimensions.</p>
<p>ABLE dynamically calculates its target depth from measurements of its immediate microenvironment and a behavioral model for the organism being simulated. It moves toward the new target depth at a biologically realistic velocity, permitting it to show transport consequences of adaptive behaviors in response to actual (not average) conditions and actual (not modeled) water movements. Because behavioral patterns are under the experimenter’s control, ABLE can reveal effects of either known or hypothetical behavior patterns. ABLE has no structures outside the parcel of water in which it is embedded, hence no extraneous drag that would cause drift errors. Use of ABLE (unlike modeling) requires no a priori characterization of the system before the first data can be collected; immediately upon deployment it begins yielding information on how water and organisms in the system move.</p>
<p>Although ABLE has no extraneous drag, hence no drift errors, while embedded in the tracked water parcel, it must periodically leave that parcel and make excursions to the surface to obtain and transmit GPS fixes. A drift error is created by velocity differences (relative to the target parcel) at other depths multiplied by the time ABLE spends transiting each during a pop-up, which cannot be simply estimated in heterogeneous systems. A rule of thumb analogous to that for suspended-drogue drifters would be that ABLE must spend &lt;1/40 of the time making excursions to the surface. As target (operating) depth increases, transit time to the surface increases, and hence allowable fix frequency decreases.</p>
<p>To facilitate tracking, it has an ultrasonic beacon that provides bearings and telemeters depth during operation at depth; when at the surface it obtains fixes from its GPS receiver and transmits the fix data by VHF radio (short range) and satellite modem (global range). The GPS fix obtained at each surface interval is logged in ABLE’s data memory, even if it is not received by the Globalstar satellite system. To facilitate recovery at the sea surface, it transmits updated fixes continuously by VHF and periodically via satellite while blinking high-brightness LED beacons for visual fixes. We also command ABLE to surface for recovery by decoding ultrasonic signals while rejecting noise from surf and biota. It senses the bottom and swims up a programmed distance above the substrate.</p>
<p>When deployed, it uses measurements of <em>in-situ</em> variables (depth, T, S, PAR, time of day, vertical speed relative to water). It subtly adjusts buoyancy (by &lt; 1g) to "swim" toward that target depth, maintaining a rate realistic for the organism being simulated (0 to &gt;10 cm/s). It periodically pops to the surface to obtain a GPS fix and transmit it by VHF, ultrasonic pinger and satellite (or cell phone) modem. Along its entire trajectory, it logs <em>in-situ</em> measurements; the suite of variables and frequency of logging are user-selectable. On the bench, ABLE communicates by wireless Bluetooth with a host computer or smart phone and presents a menu for downloading logged data, testing and calibrating sensors, altering data logging parameters, or even rewriting the entire program. Endurance during deployments is about 2 wk with 7 NiMH "D"&nbsp;cells, depending on frequency of excursions to the surface and pumping of ballast to hoist antennas.</p>
<p>ABLEs were deployed by boat at pre-defined locations and retrieved a pre-defined number of days later.&nbsp;</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1334448 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1334448
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1334553 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1334553
completed
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
707-875-1920
Bodega Marine Laboratory P.O. Box 247
Bodega Bay
CA
94923
USA
pointOfContact
John L. Largier
University of California - Davis: Bodega Marine Laboratory
707-875-1930
Bodega Marine Laboratory 2099 Westside Road, P.O Box 247
Bodega Bay
CA
94923-0247
USA
jlargier@ucdavis.edu
pointOfContact
Donna Wolcott
North Carolina State University
919-515-7866
Marine, Earth and Atmospheric Sciences 18 Henderson St.
Raleigh
NC
27607
USA
dlwolcot@ncsu.edu
pointOfContact
Thomas G. Wolcott
North Carolina State University
919-515-7866
Marine, Earth and Atmospheric Sciences 18 Henderson St.
Raleigh
NC
27607
USA
tgwolcot@ncsu.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
taxon
cumulative_secs
date_utc
time_utc
Z
Z_flag
target_Z
Z_bot
temp
temp_flag
PAR
PAR_flag
sal
sal_flag
ang_vel_X
ang_vel_Y
ang_vel_Z
pump_down
pump_up
lat
lon
DOP
batt_V
ISO_DateTime_UTC
ABLE
theme
None, User defined
taxon
No BCO-DMO term
date_utc
time_utc
water temperature at measurement depth
PAR
salinity
latitude
longitude
Dissolved Organic Phosphorus
ISO_DateTime_UTC
featureType
BCO-DMO Standard Parameters
Autonomous Behaving Lagrangian Explorer
instrument
BCO-DMO Standard Instruments
20150821_CapeHorn
service
Deployment Activity
Upwelling region, west coast of USA, northern California
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.
Collaborative Research: Field test of larval behavior on transport and connectivity in an upwelling regime
https://osprey.bco-dmo.org/project/568291
Collaborative Research: Field test of larval behavior on transport and connectivity in an upwelling regime
<p><em>Description from NSF award abstract:</em><br />
The majority of larvae of coastal marine species are planktonic and generally weak swimmers. Thus, they are thought to be dispersed widely by coastal currents. However, there is accumulating evidence that their behavior can strongly influence their transport: some remain within estuaries, while others make true migrations between adult and larval habitats, even out to the edge of the continental shelf and back. Rates and directions of larval transport are thought to be determined largely by the timing, duration, and amplitude of vertical migrations and the mean depth that larvae occupy in stratified flows. The PIs propose to provide one of the first direct tests of how behavior affects across-shelf and alongshore transport using biomimetic drifters. The study will be conducted in a region of persistent upwelling, where strong currents are widely believed to overwhelm larval swimming and limit recruitment to adult populations.</p>
<p>Knowledge of underlying mechanisms regulating larval transport is central to understanding ecology and evolution in the sea and anticipating the impacts of climate change on marine populations and communities. The proposed research will provide the first experimental field-test of how larval behavior affects the rates, directions and distances of transport and population connectivity in an upwelling regime. The PIs will test three hypotheses:</p>
<p>1. Residence below the wind-driven surface layer and vertical migrations below that layer keep larvae closer to shore compared to residence in the surface layer or larvae without depth preferences and vertical migration.</p>
<p>2. Residence at depth enhances northward transport near shore, and vertical migration leads to decreased alongshore mean displacement but increased variance for a group.</p>
<p>3. Depth preferences and vertical migrations have pronounced effects on retention and transport of plankton in upwelling regions.</p>
<p>The study will compare direct measurements from mimetic drifters with observed and modeled cross-shelf larval distributions, and with modeled alongshore transport. Results will be broadly applicable to upwelling regimes along the western margins of continents, and the approach can be applied to non-upwelling systems throughout the world.</p>
ABLE
largerWorkCitation
project
eng; USA
oceans
Upwelling region, west coast of USA, northern California
-123.08404
-122.963942
38.218773
38.309512
2015-08-19
2015-08-21
Upwelling region, West coast of USA, Northern California
0
BCO-DMO catalogue of parameters from Autonomous Behaving Lagrangian Explorer (ABLE) output for 5 taxonomic groups examined from the R/V Cape Horn in the upwelling region of the west coast of California, USA in August 2015
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/681399.rdf
Name: taxon
Units: unitless
Description: <p>Taxonomic group examined using ABLE</p>
http://lod.bco-dmo.org/id/dataset-parameter/681400.rdf
Name: cumulative_secs
Units: seconds
Description: <p>Cumulative seconds</p>
http://lod.bco-dmo.org/id/dataset-parameter/681401.rdf
Name: date_utc
Units: unitless
Description: <p>Date (UTC) formatted as yyyy-mm-dd</p>
http://lod.bco-dmo.org/id/dataset-parameter/681402.rdf
Name: time_utc
Units: unitless
Description: <p>Time (UTC) formatted as HH:MM:SS</p>
http://lod.bco-dmo.org/id/dataset-parameter/681403.rdf
Name: Z
Units: meters (m)
Description: <p>Current depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/681404.rdf
Name: Z_flag
Units: unitless
Description: <p>Quality flag for current depth: 0 – no QC, 1 – good, 2 – unreliable, 3 – bad, 4 – changed, 5 – no data.</p>
http://lod.bco-dmo.org/id/dataset-parameter/681405.rdf
Name: target_Z
Units: meters (m)
Description: <p>Target depth in meters</p>
http://lod.bco-dmo.org/id/dataset-parameter/681406.rdf
Name: Z_bot
Units: meters (m)
Description: <p>Assumed bottom depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/681407.rdf
Name: temp
Units: degrees Centigrade (C)
Description: <p>Temperature</p>
http://lod.bco-dmo.org/id/dataset-parameter/681408.rdf
Name: temp_flag
Units: unitless
Description: <p>Quality flag for temperature: 0 – no QC, 1 – good, 2 – unreliable, 3 – bad, 4 – changed, 5 – no data</p>
http://lod.bco-dmo.org/id/dataset-parameter/681409.rdf
Name: PAR
Units: moles per square meter per second (mol m-2 s-1)
Description: <p>Photosynthetically active radiation (PAR)</p>
http://lod.bco-dmo.org/id/dataset-parameter/681410.rdf
Name: PAR_flag
Units: unitless
Description: <p>Quality flag for PAR: 0 – no QC, 1 – good, 2 – unreliable, 3 – bad, 4 – changed, 5 – no data</p>
http://lod.bco-dmo.org/id/dataset-parameter/681411.rdf
Name: sal
Units: practical salinity scale (PSU)
Description: <p>Salinity</p>
http://lod.bco-dmo.org/id/dataset-parameter/681412.rdf
Name: sal_flag
Units: unitless
Description: <p>Quality flag for salinity: 0 – no QC, 1 – good, 2 – unreliable, 3 – bad, 4 – changed, 5 – no data</p>
http://lod.bco-dmo.org/id/dataset-parameter/681413.rdf
Name: ang_vel_X
Units: unitless (raw counts from the gyro)
Description: <p>Angular velocity in x direction</p>
http://lod.bco-dmo.org/id/dataset-parameter/681414.rdf
Name: ang_vel_Y
Units: unitless (raw counts from the gyro)
Description: <p>Angular velocity in y direction</p>
http://lod.bco-dmo.org/id/dataset-parameter/681415.rdf
Name: ang_vel_Z
Units: unitless (raw counts from the gyro)
Description: <p>Angular velocity in z direction</p>
http://lod.bco-dmo.org/id/dataset-parameter/681416.rdf
Name: pump_down
Units: unitless
Description: <p>Number of pump strokes in a downward direction</p>
http://lod.bco-dmo.org/id/dataset-parameter/681417.rdf
Name: pump_up
Units: unitless
Description: <p>Number of pump strokes in an upward direction</p>
http://lod.bco-dmo.org/id/dataset-parameter/681418.rdf
Name: lat
Units: decimal degrees
Description: <p>Latitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/681419.rdf
Name: lon
Units: decimal degrees
Description: <p>Longitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/681420.rdf
Name: DOP
Units: unitless
Description: <p>Dilution of precision for GPS quality</p>
http://lod.bco-dmo.org/id/dataset-parameter/681421.rdf
Name: batt_V
Units: volts
Description: <p>Battery voltage</p>
http://lod.bco-dmo.org/id/dataset-parameter/681422.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: <p>Date and time (UTC) formatted ISO 8601 standard: yyyy-mm-ddTHH:MM:SS.xxZ (where T indicates the start of the time string and Z indicates UTC)</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
10308869
https://darchive.mblwhoilibrary.org/bitstream/1912/24389/1/dataset-681042_able__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.681042.1
download
onLine
dataset
<p><strong>Sampling:</strong><br />
ABLE 6218 (aka Velella) – constant depth of 3m<br />
ABLE 6155 (aka Cyprid) – diel vertical migration 3-15m, 2.0 cm/s, up 3:00/down 13:00<br />
ABLE 6157 (aka Pteropod) – diel vertical migration 3-15m, 2.0 cm/s, up 3:00/down 13:00<br />
ABLE 5996 (aka Pluteus) – constant depth 15m<br />
ABLE 6031 (aka Melibe) – constant depth 15m</p>
<p>We simulated documented behaviors using the Autonomous Behaving Lagrangian Explorer (ABLE). ABLE, designed by Tom Wolcott,&nbsp;is a biomimetic robotic drifter that senses in situ environmental stimuli (e.g., variations in PAR, pressure, salinity, or temperature). It&nbsp;can be programmed to maintain depth or vertically migrate in response to <em>in-situ</em> variables, like the larvae under study. It can reveal quasi-Lagrangian transport of vertically migrating plankters that swim between water parcels at different depths. ABLE weighs 3 kg and is 36 cm tall, topped by a 15 cm antenna mast. It necessarily integrates water motions at and below its own scale. Consequently, it cannot mimic transport of individual plankters, nor diffusive processes at scales smaller than its own. ABLE best simulates the transport of the centroid of a cloud of plankters that is large relative to its own dimensions.</p>
<p>ABLE dynamically calculates its target depth from measurements of its immediate microenvironment and a behavioral model for the organism being simulated. It moves toward the new target depth at a biologically realistic velocity, permitting it to show transport consequences of adaptive behaviors in response to actual (not average) conditions and actual (not modeled) water movements. Because behavioral patterns are under the experimenter’s control, ABLE can reveal effects of either known or hypothetical behavior patterns. ABLE has no structures outside the parcel of water in which it is embedded, hence no extraneous drag that would cause drift errors. Use of ABLE (unlike modeling) requires no a priori characterization of the system before the first data can be collected; immediately upon deployment it begins yielding information on how water and organisms in the system move.</p>
<p>Although ABLE has no extraneous drag, hence no drift errors, while embedded in the tracked water parcel, it must periodically leave that parcel and make excursions to the surface to obtain and transmit GPS fixes. A drift error is created by velocity differences (relative to the target parcel) at other depths multiplied by the time ABLE spends transiting each during a pop-up, which cannot be simply estimated in heterogeneous systems. A rule of thumb analogous to that for suspended-drogue drifters would be that ABLE must spend &lt;1/40 of the time making excursions to the surface. As target (operating) depth increases, transit time to the surface increases, and hence allowable fix frequency decreases.</p>
<p>To facilitate tracking, it has an ultrasonic beacon that provides bearings and telemeters depth during operation at depth; when at the surface it obtains fixes from its GPS receiver and transmits the fix data by VHF radio (short range) and satellite modem (global range). The GPS fix obtained at each surface interval is logged in ABLE’s data memory, even if it is not received by the Globalstar satellite system. To facilitate recovery at the sea surface, it transmits updated fixes continuously by VHF and periodically via satellite while blinking high-brightness LED beacons for visual fixes. We also command ABLE to surface for recovery by decoding ultrasonic signals while rejecting noise from surf and biota. It senses the bottom and swims up a programmed distance above the substrate.</p>
<p>When deployed, it uses measurements of <em>in-situ</em> variables (depth, T, S, PAR, time of day, vertical speed relative to water). It subtly adjusts buoyancy (by &lt; 1g) to "swim" toward that target depth, maintaining a rate realistic for the organism being simulated (0 to &gt;10 cm/s). It periodically pops to the surface to obtain a GPS fix and transmit it by VHF, ultrasonic pinger and satellite (or cell phone) modem. Along its entire trajectory, it logs <em>in-situ</em> measurements; the suite of variables and frequency of logging are user-selectable. On the bench, ABLE communicates by wireless Bluetooth with a host computer or smart phone and presents a menu for downloading logged data, testing and calibrating sensors, altering data logging parameters, or even rewriting the entire program. Endurance during deployments is about 2 wk with 7 NiMH "D"&nbsp;cells, depending on frequency of excursions to the surface and pumping of ballast to hoist antennas.</p>
<p>ABLEs were deployed by boat at pre-defined locations and retrieved a pre-defined number of days later.&nbsp;</p>
Specified by the Principal Investigator(s)
<p>Data has been manually reformatted to accommodate columns and rows.<br />
Flag descriptions:<br />
0 – no QC,<br />
1 – good,<br />
2 – unreliable,<br />
3 – bad,<br />
4 – changed,<br />
5 – no data.</p>
<p><strong>BCO-DMO Processing:</strong><br />
-modified parameter names to conform with BCO-DMO naming conventions;<br />
-formatted dates to yyyy-mm-dd and times to HH:MM:SS;<br />
-replaced blanks (missing data) with 'nd';<br />
-added ISO_DateTime_UTC field using original date and time columns.</p>
Specified by the Principal Investigator(s)
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
ABLE
ABLE
PI Supplied Instrument Name: ABLE Instrument Name: Autonomous Behaving Lagrangian Explorer Instrument Short Name:ABLE Instrument Description: The Autonomous Behaving Lagrangian Explorer (ABLE), designed by Tom Wolcott, is a biomimetic robotic drifter that senses in situ environmental stimuli (e.g., variations in PAR, pressure, salinity, or temperature) and can be programmed to respond to these cues with vertical migration behavior like that of the planktonic organism of interest.
Cruise: 20150821_CapeHorn
20150821_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20150821_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
R/V Cape Horn
R/V Cape Horn
vessel