http://lod.bco-dmo.org/id/dataset/724002
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
2018-01-17
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Surface data from ABLE deployments in the upwelling region of the west coast of northern California from 2016-2018
2019-01-29
publication
2019-01-29
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-08-01
publication
https://doi.org/10.1575/1912/bco-dmo.724002.2
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. (2019) Surface data from ABLE deployments in the upwelling region of the west coast of northern California from 2016-2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2) Version Date 2019-01-29 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.724002.2 [access date]
Surface data from ABLE deployments in the upwelling region of the west coast of northern California from 2016-2018 Dataset Description: <p>GPS position locations for each ABLE unit during each deployment and other spatial data, as well as common fields describing the ABLE unit, deployment, and other identifiers for that data subset.</p> Methods and Sampling: <p>We simulated documented behaviors using the Autonomous Behaving Lagrangian Explorer (ABLE). It 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"&nbsp;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>
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: 2
Unknown
Deployment
name
Migration_model
Migration_depth_1
Migration_depth_2
Fix_secs
Date_UTC
Date_Local
Lat
Lon
DOP
Temp
PAR
Salin
Batt_V
Report_no
fix_interval
aspe
xspe
spe
dir
elapsed_time
d_pos_norm
d_drop_norm
d_Lat_norm
d_Lon_norm
d_cumLat_norm
d_cumLon_norm
step_dir
drop_dir
Behavior
QA_flag
ABLE
theme
None, User defined
date
instrument
brief description
depth
time_elapsed
ISO_DateTime_UTC
ISO_DateTime_Local
latitude
longitude
No BCO-DMO term
water temperature at measurement depth
PAR
salinity
wind_speed
wind_dir
quality flag
featureType
BCO-DMO Standard Parameters
Autonomous Behaving Lagrangian Explorer
instrument
BCO-DMO Standard Instruments
20160616_CapeHorn
20170621_CapeHorn
20170622_CapeHorn
20160809_CapeHorn
20160707_CapeHorn
20170626_CapeHorn
20170510_CapeHorn
20160621_CapeHorn
20170627_CapeHorn
20180326_CapeHorn
20180402_CapeHorn
20180416_CapeHorn
20180419_CapeHorn
20180501_CapeHorn
20180614_CapeHorn
20180606_CapeHorn
20180522_CapeHorn
20180531_CapeHorn
20180521_CapeHorn
20180620_CapeHorn
20180626_CapeHorn
20180628_CapeHorn
20180702_CapeHorn
20180705_CapeHorn
20160606_CapeHorn
20160628_CapeHorn
20160627_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
-123.16774
-122.9741
38.07565
38.41627
2016-06-07
2018-07-07
Upwelling region, West coast of USA, Northern California
0
BCO-DMO catalogue of parameters from Surface data from ABLE deployments in the upwelling region of the west coast of northern California from 2016-2018
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/724042.rdf
Name: Deployment
Units: unitless
Description: <p>Date of deployment YY-MM-DD</p>
http://lod.bco-dmo.org/id/dataset-parameter/724043.rdf
Name: name
Units: unitless
Description: <p>Unique identifier used for naming individual instruments</p>
http://lod.bco-dmo.org/id/dataset-parameter/724044.rdf
Name: Migration_model
Units: unitless
Description: <p>Vertical swimming behavior program (DVM = Diel Vertical Migration where ABLE is at the deeper Migration_depth_2 for 14hrs45min during day and at the shallower Migration_depth_1 for 9hrs15min at night; Constant = constant depth maintained)</p>
http://lod.bco-dmo.org/id/dataset-parameter/724045.rdf
Name: Migration_depth_1
Units: meters
Description: <p>Shallower (night time) migration depth in meters for DVM behaviors OR migration depth in meters for constant behaviors</p>
http://lod.bco-dmo.org/id/dataset-parameter/724046.rdf
Name: Migration_depth_2
Units: meters
Description: <p>Deeper (day time) migration depth in meters for DVM behaviors OR migration depth in meters for constant behaviors</p>
http://lod.bco-dmo.org/id/dataset-parameter/724047.rdf
Name: Fix_secs
Units: seconds
Description: <p>cumulative seconds</p>
http://lod.bco-dmo.org/id/dataset-parameter/724048.rdf
Name: Date_UTC
Units: unitless
Description: <p>Date and time (UTC) formatted to ISO 8601 standard</p>
http://lod.bco-dmo.org/id/dataset-parameter/724049.rdf
Name: Date_Local
Units: unitless
Description: <p>Date and time (local; Pacific Time) formatted to ISO 8601 standard</p>
http://lod.bco-dmo.org/id/dataset-parameter/724050.rdf
Name: Lat
Units: decimal degrees
Description: <p>latitude in decimal degrees; positive values = North</p>
http://lod.bco-dmo.org/id/dataset-parameter/724051.rdf
Name: Lon
Units: decimal degrees
Description: <p>longitude in decimal degrees; positive values = East</p>
http://lod.bco-dmo.org/id/dataset-parameter/724052.rdf
Name: DOP
Units: unitless
Description: <p>dilution of precision for GPS quality (0.0)</p>
http://lod.bco-dmo.org/id/dataset-parameter/724053.rdf
Name: Temp
Units: degrees Celsius
Description: <p>temperature in degrees centigrade (0.00 °C)</p>
http://lod.bco-dmo.org/id/dataset-parameter/724054.rdf
Name: PAR
Units: moles per square meter per second (mol m?2 s?1)
Description: <p>photosynthetically active radiation in mol m?2 s?1 (0)</p>
http://lod.bco-dmo.org/id/dataset-parameter/724055.rdf
Name: Salin
Units: practical salinity units
Description: <p>salinity in practical salinity scale (0.00 PSU)</p>
http://lod.bco-dmo.org/id/dataset-parameter/724056.rdf
Name: Batt_V
Units: volts
Description: <p>battery voltage (0.00 V)</p>
http://lod.bco-dmo.org/id/dataset-parameter/724057.rdf
Name: Report_no
Units: unitless
Description: <p>Position report number for given ABLE on given deployment</p>
http://lod.bco-dmo.org/id/dataset-parameter/724058.rdf
Name: fix_interval
Units: hours
Description: <p>Time difference (hours) between fixes OR default of 4 for first fix (this interval value is used to compute mean aspe, xspe, spe, dir values in subsequent columns).</p>
http://lod.bco-dmo.org/id/dataset-parameter/724059.rdf
Name: aspe
Units: meters per second (m/s)
Description: <p>alongshore windspeed (meters per second, positive is North) at Bodega Marine Laboratory sensor (boon.bml.edu)</p>
http://lod.bco-dmo.org/id/dataset-parameter/724060.rdf
Name: xspe
Units: meters per second (m/s)
Description: <p>cross-shore windspeed (meters per second, positive is East) at Bodega Marine Laboratory sensor (boon.bml.edu)</p>
http://lod.bco-dmo.org/id/dataset-parameter/724061.rdf
Name: spe
Units: meters per second (m/s)
Description: <p>wind speed (meters per second) at Bodega Marine Laboratory sensor (boon.bml.edu)</p>
http://lod.bco-dmo.org/id/dataset-parameter/724062.rdf
Name: dir
Units: degrees
Description: <p>wind direction (degrees True) at Bodega Marine Laboratory sensor (boon.bml.edu)</p>
http://lod.bco-dmo.org/id/dataset-parameter/724063.rdf
Name: elapsed_time
Units: hours
Description: <p>total time (hours) elapsed during deployment up to surface report</p>
http://lod.bco-dmo.org/id/dataset-parameter/724064.rdf
Name: d_pos_norm
Units: meters per hour (m/h)
Description: <p>change in position between current and previous position reports (meters per hour)</p>
http://lod.bco-dmo.org/id/dataset-parameter/724065.rdf
Name: d_drop_norm
Units: meters per hour (m/h)
Description: <p>change in position between current position report and drop location (meters per hour)</p>
http://lod.bco-dmo.org/id/dataset-parameter/724066.rdf
Name: d_Lat_norm
Units: meters per hour (m/h)
Description: <p>change in North-South direction between current and previous position reports (meters per hour)</p>
http://lod.bco-dmo.org/id/dataset-parameter/724067.rdf
Name: d_Lon_norm
Units: meters per hour (m/h)
Description: <p>change in East-West direction between current and previous position reports (meters per hour)</p>
http://lod.bco-dmo.org/id/dataset-parameter/724068.rdf
Name: d_cumLat_norm
Units: meters per hour (m/h)
Description: <p>change in North-South direction between current position report and drop location (meters per hour)</p>
http://lod.bco-dmo.org/id/dataset-parameter/724069.rdf
Name: d_cumLon_norm
Units: meters per hour (m/h)
Description: <p>change in East-West direction between current position report and drop location (meters per hour)</p>
http://lod.bco-dmo.org/id/dataset-parameter/724070.rdf
Name: step_dir
Units: degrees
Description: <p>Compass bearing (degrees True) from previous position report to current position report</p>
http://lod.bco-dmo.org/id/dataset-parameter/724071.rdf
Name: drop_dir
Units: degrees
Description: <p>Compass bearing (degrees True) from drop location to current position report</p>
http://lod.bco-dmo.org/id/dataset-parameter/724072.rdf
Name: Behavior
Units: unitless
Description: <p>categorical identifier of behavior (DVM, Deep, or Shallow)</p>
http://lod.bco-dmo.org/id/dataset-parameter/724073.rdf
Name: QA_flag
Units: unitless
Description: <p>Quality assurance flag (0 means no QA done, 1 means QA pass, 2 means QA fail)</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
539893
https://darchive.mblwhoilibrary.org/bitstream/1912/24390/1/dataset-724002_able-surface-2016-18__v2.tsv
download
https://doi.org/10.1575/1912/bco-dmo.724002.2
download
onLine
dataset
<p>We simulated documented behaviors using the Autonomous Behaving Lagrangian Explorer (ABLE). It 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"&nbsp;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>
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&nbsp;(replaced . with _ );<br />
- replaced blanks (missing data)&nbsp;and NA with "nd";<br />
- converted date/time fields to ISO 8601 format;<br />
- changed positive longitude values to negative;<br />
- 29-Jan-2019: appended the 2018 data to 2016-2017 data.</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: 20160616_CapeHorn
20160616_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20160616_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20170621_CapeHorn
20170621_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20170621_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20170622_CapeHorn
20170622_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20170622_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20160809_CapeHorn
20160809_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20160809_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20160707_CapeHorn
20160707_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20160707_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20170626_CapeHorn
20170626_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20170626_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20170510_CapeHorn
20170510_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20170510_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20160621_CapeHorn
20160621_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20160621_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20170627_CapeHorn
20170627_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20170627_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20180326_CapeHorn
20180326_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20180326_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20180402_CapeHorn
20180402_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20180402_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20180416_CapeHorn
20180416_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20180416_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20180419_CapeHorn
20180419_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20180419_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20180501_CapeHorn
20180501_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20180501_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20180614_CapeHorn
20180614_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20180614_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20180606_CapeHorn
20180606_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20180606_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20180522_CapeHorn
20180522_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20180522_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20180531_CapeHorn
20180531_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20180531_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20180521_CapeHorn
20180521_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20180521_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20180620_CapeHorn
20180620_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20180620_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20180626_CapeHorn
20180626_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20180626_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20180628_CapeHorn
20180628_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20180628_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20180702_CapeHorn
20180702_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20180702_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20180705_CapeHorn
20180705_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20180705_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20160606_CapeHorn
20160606_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20160606_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20160628_CapeHorn
20160628_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20160628_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
Cruise: 20160627_CapeHorn
20160627_CapeHorn
R/V Cape Horn
R/V Cape Horn
vessel
20160627_CapeHorn
Steven Morgan
University of California - Davis: Bodega Marine Laboratory
R/V Cape Horn
R/V Cape Horn
vessel