http://lod.bco-dmo.org/id/dataset/654159
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
2016-08-16
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Physical data collected by towed plankton imaging system in a subtropical, pelagic environment from R/V F.G. Walton Smith cruises WS1406 and WS15161 in the Straits of Florida from 2014-2015 (OSTRICH project)
2016-08-23
publication
2016-08-23
revision
BCO-DMO Linked Data URI
2016-08-23
creation
http://lod.bco-dmo.org/id/dataset/654159
Robert K. Cowen
Oregon State University
principalInvestigator
Su Sponaugle
Oregon 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: Cowen, R. K., Sponaugle, S. (2016) Physical data collected by towed plankton imaging system in a subtropical, pelagic environment from R/V F.G. Walton Smith cruises WS1406 and WS15161 in the Straits of Florida from 2014-2015 (OSTRICH project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 23 Aug 2016) Version Date 2016-08-23 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/654159 [access date]
Physical data collected by at towed plankton imaging system in a subtropical, pelagic environment Dataset Description: <p>Physical data collected by at towed plankton imaging system in a subtropical, pelagic environment; collected on&nbsp;R/V Walton Smith cruises, WS1406 and&nbsp;WS15161.</p>
<p><strong>Status note:&nbsp;</strong>These data are restricted from public access until the related manuscript has been published.</p> Methods and Sampling: <p>The <em>In Situ</em> Ichthyoplankton Imaging System (ISIIS) is a high resolution imaging system designed to image sufficient volumes of water to accurately quantify rare meso- and macroplankton such as fish and crab larvae, and also associated plankters (e.g., ctenophores, larvaceans, euphausiids, chaetognaths, hydrozoans, scyphozoans, pteropods, copepods) <em>in situ</em> (Cowen &amp; Guigand 2008). An additional, finer scale imaging system has been added to the current system (ISIIS-2) and is capable of imaging up to 140 L per second, with pixel resolution of 45-68 um. This yields particle resolution down to ~ 450 um, adding considerable breadth to the full size range of organisms that can be detected and enumerated. The ISIIS is also instrumented with a set of environmental sensors including: Seabird CTD (SBE 49), Biospherical PAR (QCP2300), Seabird dissolved O<sub>2 </sub>(SBE 43), and Wet Labs Fluorometer (ECO). All data are passed via fiber optic cable to an onboard computer, time-stamped for cross-referencing, and saved on a high-speed disk array. Oxygen data from 2014 were excluded as they were found to be outside the calibrated range of the sensor.</p>
<p><strong>Related references:</strong><br />
Cowen RK, Guigand CM. 2008. In situ Ichthyoplankton Imaging System (ISIIS): system design and preliminary results. Limnol Oceanogr Methods. 6: 126-132. doi:<a href="http://dx.doi.org/10.4319/lom.2008.6.126" target="_blank">10.4319/lom.2008.6.126</a></p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1419987 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1419987
completed
Robert K. Cowen
Oregon State University
541-867-2011
Hatfield Marine Science Center 2030 SE Marine Science Drive
Newport
OR
97376
USA
robert.cowen@oregonstate.edu
pointOfContact
Su Sponaugle
Oregon State University
541-867-0314
Department of Integrative Biology, Hatfield Marine Science Center 2030 SE Marine Science Drive
Newport
OR
97376
USA
su.sponaugle@oregonstate.edu
pointOfContact
asNeeded
Dataset Version: 23 Aug 2016
Unknown
cruise_name
cruise_id
transect
depth
ISO_DateTime_Local
lat
lon
temp
sal
press
density
fluor_v
chl
irradiance
heading
hz_vel_mm_s
hz_vel_cm_s
vert_vel
pitch
lg_hz_line
lg_eff_image_len
lg_images_sec
lg_vol_imaged
lg_vol_rate
sm_hz_line
sm_eff_image_len
sm_images_sec
sm_vol_imaged
sm_vol_rate
oxygen
ISIIS
theme
None, User defined
cruise name
Cruise identfier
transect
depth
ISO_DateTime_Local
latitude
longitude
water temperature at measurement depth
salinity
water pressure
density
flvolt
chlorophyll a
irradiance
heading of vehicle
horizontal velocity towed
vertical velocity towed
pitch
No BCO-DMO term
dissolved Oxygen
featureType
BCO-DMO Standard Parameters
In Situ Ichtyoplankton Imaging System
instrument
BCO-DMO Standard Instruments
WS1406
WS15161
service
Deployment Activity
Straits of Florida
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.
Spatial variability of larval fish in relation to their prey and predator fields: Patterns and interactions from cm to 10s of km in a subtropical, pelagic environment
https://osprey.bco-dmo.org/project/528606
Spatial variability of larval fish in relation to their prey and predator fields: Patterns and interactions from cm to 10s of km in a subtropical, pelagic environment
<p><em>Description from NSF award abstract:</em><br />
The spatial pattern of organisms within pelagic marine environments is of significant ecological importance, and this is particularly true for larval fishes. Patchy prey and predator environments should lead to variation in predator-prey interactions, and thus to variations in larval fish growth and survival. These have proven very difficult to resolve in nature, due in large part to the broad range of spatial scales involved and technological challenges with adequately sampling the various processes simultaneously. This study will use new technology (In Situ Ichthyoplankton Imaging System - ISIIS) to simultaneously measure the fine-scale distribution of larval fishes in relation to their prey, their planktonic predators, and the physical environment of the Straits of Florida. This will be combined with targeted fine-scale net sampling and analyses of individual recent daily larval growth. By sampling a series of water masses at very high resolution, this study will address specific hypotheses concerning: i) the drivers of aggregations and patchiness, and ii) the biological consequences of predator-prey interactions at fine scales.</p>
<p>The primary intellectual merit of the study is the unprecedented examination of plankton processes at scales of relevance to biological interactions among larval fishes, their prey, and their predators. This field study will further our understanding of the predator-prey interactions contributing to spatially explicit larval growth and mortality patterns. The focus on subtropical planktonic food webs will enhance scientific knowledge of these understudied pelagic ecosystems and provide valuable data for comparative analyses with pelagic food web dynamics at higher latitudes. A deeper understanding of pelagic planktonic ecosystems over a range of spatial and temporal scales is increasingly important as the oceans undergo major environmental changes. Substantial increases in the relative dominance of gelatinous organisms, for example, have the potential to cause major shifts in pelagic food webs. A better understanding of the fine-scale interactions of such food webs will help society anticipate and respond to the consequences of such changes.</p>
<p><strong>Note (07 Oct 2014):</strong> Funding for this project transferred from award OCE-1333800 to OCE-1419987, coincident with the Principal Investigator's affiliation change from University of Miami to Oregon State University.</p>
OSTRICH
largerWorkCitation
project
eng; USA
oceans
Straits of Florida
2016-08-23
Straits of Florida, Western Atlantic
0
BCO-DMO catalogue of parameters from Physical data collected by towed plankton imaging system in a subtropical, pelagic environment from R/V F.G. Walton Smith cruises WS1406 and WS15161 in the Straits of Florida from 2014-2015 (OSTRICH 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
http://lod.bco-dmo.org/id/dataset-parameter/655572.rdf
Name: cruise_name
Units: unitless
Description: <p>Cruise name</p>
http://lod.bco-dmo.org/id/dataset-parameter/655573.rdf
Name: cruise_id
Units: unitless
Description: <p>Official cruise identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/655574.rdf
Name: transect
Units: unitless
Description: <p>Unique transect identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/655575.rdf
Name: depth
Units: meters (m)
Description: <p>Depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/655576.rdf
Name: ISO_DateTime_Local
Units: unitless
Description: <p>Local date and time (EDT) of observation (24h) formatted to ISO8601 standard</p>
http://lod.bco-dmo.org/id/dataset-parameter/655577.rdf
Name: lat
Units: decimal degrees North
Description: <p>Vehicle position latitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/655578.rdf
Name: lon
Units: decimal degrees West
Description: <p>Vehicle position longitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/655579.rdf
Name: temp
Units: degrees Celsius
Description: <p>Water temperature</p>
http://lod.bco-dmo.org/id/dataset-parameter/655580.rdf
Name: sal
Units: parts per thousand
Description: <p>Salinity</p>
http://lod.bco-dmo.org/id/dataset-parameter/655581.rdf
Name: press
Units: decibars (db)
Description: <p>Pressure</p>
http://lod.bco-dmo.org/id/dataset-parameter/655582.rdf
Name: density
Units: kilograms per cubic meter (kg/m3)
Description: <p>Seawater density</p>
http://lod.bco-dmo.org/id/dataset-parameter/655583.rdf
Name: fluor_v
Units: volts
Description: <p>Fluorescence</p>
http://lod.bco-dmo.org/id/dataset-parameter/655584.rdf
Name: chl
Units: micrograms per Liter (ug/L)
Description: <p>Derived chlorophyll from fluorescence</p>
http://lod.bco-dmo.org/id/dataset-parameter/655585.rdf
Name: irradiance
Units: microEinsteins per square cm (uE/cm2)
Description: <p>Irradiance</p>
http://lod.bco-dmo.org/id/dataset-parameter/655586.rdf
Name: heading
Units: degrees
Description: <p>Vehicle heading</p>
http://lod.bco-dmo.org/id/dataset-parameter/655587.rdf
Name: hz_vel_mm_s
Units: millimeters per second (mm/s)
Description: <p>Vehicle horizontal velocity</p>
http://lod.bco-dmo.org/id/dataset-parameter/655588.rdf
Name: hz_vel_cm_s
Units: centimeters per second (cm/s)
Description: <p>Vehicle horizontal velocity</p>
http://lod.bco-dmo.org/id/dataset-parameter/655589.rdf
Name: vert_vel
Units: millimeters per second (mm/s)
Description: <p>Vehicle vertical velocity</p>
http://lod.bco-dmo.org/id/dataset-parameter/655590.rdf
Name: pitch
Units: degrees
Description: <p>Vehicle pitch</p>
http://lod.bco-dmo.org/id/dataset-parameter/655591.rdf
Name: lg_hz_line
Units: centimeters per line (cm/line)
Description: <p>Large camera horizontal line</p>
http://lod.bco-dmo.org/id/dataset-parameter/655592.rdf
Name: lg_eff_image_len
Units: centimeters (cm)
Description: <p>Large camera effective image length</p>
http://lod.bco-dmo.org/id/dataset-parameter/655593.rdf
Name: lg_images_sec
Units: images/s
Description: <p>Large camera images per second</p>
http://lod.bco-dmo.org/id/dataset-parameter/655594.rdf
Name: lg_vol_imaged
Units: cubic centimeters (cm3)
Description: <p>Large camera volume imaged</p>
http://lod.bco-dmo.org/id/dataset-parameter/655595.rdf
Name: lg_vol_rate
Units: cubic meters per second (m3/s)
Description: <p>Large camera volume rate</p>
http://lod.bco-dmo.org/id/dataset-parameter/655596.rdf
Name: sm_hz_line
Units: centimeters per line (cm/line)
Description: <p>Small camera horizontal line</p>
http://lod.bco-dmo.org/id/dataset-parameter/655597.rdf
Name: sm_eff_image_len
Units: centimeters (cm)
Description: <p>Small camera effective image length</p>
http://lod.bco-dmo.org/id/dataset-parameter/655598.rdf
Name: sm_images_sec
Units: images/s
Description: <p>Small camera images per second</p>
http://lod.bco-dmo.org/id/dataset-parameter/655599.rdf
Name: sm_vol_imaged
Units: cubic centimeters (cm3)
Description: <p>Small camera imaged volume</p>
http://lod.bco-dmo.org/id/dataset-parameter/655600.rdf
Name: sm_vol_rate
Units: cubic meters per second (m3/s)
Description: <p>Small camera volume rate</p>
http://lod.bco-dmo.org/id/dataset-parameter/655601.rdf
Name: oxygen
Units: milliliters per liter (mL/L)
Description: <p>Dissolved oxygen</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
https://osprey.bco-dmo.org/dataset/654159/data/download
download
onLine
dataset
<p>The <em>In Situ</em> Ichthyoplankton Imaging System (ISIIS) is a high resolution imaging system designed to image sufficient volumes of water to accurately quantify rare meso- and macroplankton such as fish and crab larvae, and also associated plankters (e.g., ctenophores, larvaceans, euphausiids, chaetognaths, hydrozoans, scyphozoans, pteropods, copepods) <em>in situ</em> (Cowen &amp; Guigand 2008). An additional, finer scale imaging system has been added to the current system (ISIIS-2) and is capable of imaging up to 140 L per second, with pixel resolution of 45-68 um. This yields particle resolution down to ~ 450 um, adding considerable breadth to the full size range of organisms that can be detected and enumerated. The ISIIS is also instrumented with a set of environmental sensors including: Seabird CTD (SBE 49), Biospherical PAR (QCP2300), Seabird dissolved O<sub>2 </sub>(SBE 43), and Wet Labs Fluorometer (ECO). All data are passed via fiber optic cable to an onboard computer, time-stamped for cross-referencing, and saved on a high-speed disk array. Oxygen data from 2014 were excluded as they were found to be outside the calibrated range of the sensor.</p>
<p><strong>Related references:</strong><br />
Cowen RK, Guigand CM. 2008. In situ Ichthyoplankton Imaging System (ISIIS): system design and preliminary results. Limnol Oceanogr Methods. 6: 126-132. doi:<a href="http://dx.doi.org/10.4319/lom.2008.6.126" target="_blank">10.4319/lom.2008.6.126</a></p>
Specified by the Principal Investigator(s)
<p>Temperature, salinity, pressure, depth, oxygen, fluorescence, and irradiance data are collected at a higher temporal frequency than latitude and longitude observations that come from the ship’s NEMA system. Latitude and longitude values have been linearly interpolated between observations using time.</p>
<p>In 2014, latitude and longitude data from the NEMA system were not automatically logged with the physical data during ISIIS tows. To address this, temperature, salinity, pressure, depth, oxygen, fluorescence, and irradiance data were binned to the nearest second (mean for each second bin) in order to merge them with the ship’s GPS data.</p>
<p>Seawater density (kg per cubic&nbsp;meter)&nbsp;was calculated from pressure, temperature, and salinity using the UNESCO equation of state from the ‘R’ Library ‘OCE’ package.</p>
<p>Temperature, salinity, oxygen, fluorescence, irradiance values less than zero were excluded as they are erroneous</p>
<p>Density values less than 1000 kg per cubic meter&nbsp;were excluded as they are erroneous</p>
<p>Oxygen (2015 only) was corrected for post-calibration sensor drift using the equation:<br />
Final oxygen (ml L<sup>-1</sup>) = Initial oxygen (ml L<sup>-1</sup>)*1.0649702 – 0.0029434</p>
<p>Fluorescence (volts) data from the Wet Labs Eco Fluorometer was converted to chlorophyll (ug/L) using the following equation:<br />
chlorophyll (µg L<sup>-1</sup>) = scale factor*(volts – dark counts)<br />
2014: Scale factor = 25; Dark counts = 0.028. 2015: Scale factor = 24; Dark counts = 0.026.</p>
<p><strong>Large camera parameters used in volume imaged calculations:</strong><br />
<em><strong>2014:</strong></em><br />
Image width: 2048 pixels<br />
Scan rate: 35,000 lines s-1<br />
Depth of field: 50 cm<br />
Field of view: 11.2 cm</p>
<p><em><strong>2015:</strong></em><br />
Image width: 2048 pixels<br />
Scan rate: 35,000 lines s-1<br />
Depth of field: 50 cm<br />
Field of view: 11 cm</p>
<p><strong>Small camera parameters used in volume imaged calculations:</strong><br />
<em><strong>2014:</strong></em><br />
Image width: 1024 pixels<br />
Scan rate: 62,000 lines s-1<br />
Depth of field: 10 cm<br />
Field of view: 6 cm</p>
<p><em><strong>2015:</strong></em><br />
Image width: 1024 pixels<br />
Scan rate: 55,000 lines s-1<br />
Depth of field: 10 cm<br />
Field of view: 4.6 cm</p>
<p><strong>Derived camera data calculated using equations below:</strong><br />
lg.hz.line = &nbsp;horizontal.velocity (cm s-1) / lg.scan.rate<br />
lg.eff.image.length (cm) = lg.image.width *lg.hz.line<br />
lg.vol.image (cm3) = lg.dof*lg.fov*lg.eff.image.length<br />
lg.image.sec (images s-1) = horizontal.velocity (cm s-1)/lg.eff.image.length<br />
lg.vol.rate (m3 s-1) = (lg.image.sec*lg.vol.image)*1E-06<br />
sm.hz.line = &nbsp;horizontal.velocity (cm s-1) / sm.scan.rate<br />
sm.eff.image.length (cm) = sm.image.width *sm.hz.line<br />
sm.vol.image (cm3) = sm.dof*sm.fov*sm.eff.image.length<br />
sm.image.sec (images s-1) = horizontal.velocity (cm s-1)/sm.eff.image.length<br />
sm.vol.rate (m3 s-1) = (sm.image.sec*sm.vol.image)*1E-06</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
ISIIS
ISIIS
PI Supplied Instrument Name: ISIIS PI Supplied Instrument Description:The In Situ Ichthyoplankton Imaging System (ISIIS) is a high resolution imaging system designed to image sufficient volumes of water to accurately quantify rare meso- and macroplankton such as fish and crab larvae, and also associated plankters (e.g., ctenophores, larvaceans, euphausiids, chaetognaths, hydrozoans, scyphozoans, pteropods, copepods) in situ (Cowen & Guigand 2008). An additional, finer scale imaging system has been added to the current system (ISIIS-2) and is capable of imaging up to 140 L s-1, with pixel resolution of 45-68 µm. This yields particle resolution down to ~ 450 µm, adding considerable breadth to the full size range of organisms that can be detected and enumerated. The ISIIS is also instrumented with a set of environmental sensors including: Seabird CTD (SBE 49), Biospherical PAR (QCP2300), Seabird dissolved O2 (SBE 43), and Wet Labs Fluorometer (ECO). All data are passed via fiber optic cable to an onboard computer, time-stamped for cross-referencing, and saved on a high-speed disk array. Oxygen data from 2014 were excluded as they were found to be outside the calibrated range of the sensor. Instrument Name: In Situ Ichtyoplankton Imaging System Instrument Short Name:ISIIS Instrument Description: The In Situ Ichthyoplankton Imaging System (ISIIS) is an underwater imaging system aimed at capturing in situ, real time images of marine zooplankton of relatively low abundance such as fish larvae and fragile gelatinous organisms. The first prototype, delivered in 2007, was attached to a relatively simple vehicle towed by an oceanographic vessel at a speed of five knots. The vehicle, and associated imaging system and sensors, was moved up and down through the water column by paying cable in and out via an oceanographic winch. Subsequently, a new vehicle has been designed with the capacity of self undulation using motor actuated dive fins.
The ISIIS system utilizes a high-resolution line-scanning camera with a Light Emitting Diode (LED) light source, modified by plano-convex optics, to create a collimated light field to back-light a parcel of water.
ISIIS was developed in collaboration between the University of Miami's Rosenstiel School of Atmospheric and Marine Science (RSMAS) and the subsea engineering company, Bellamare, LLC, located in San Diego CA. See complete description from RSMAS.
Reference:
Cowen RK and Guigand CM. 2008. In situ Ichthyoplankton Imaging System (ISIIS): system design and preliminary results. Limnol. Oceanogr. Methods. 6:126-132. doi:10.4319/lom.2008.6.126
Cruise: WS1406
WS1406
R/V F.G. Walton Smith
Community Standard Description
International Council for the Exploration of the Sea
R/V F.G. Walton Smith
vessel
WS1406
Robert K. Cowen
Oregon State University
Cruise: WS15161
WS15161
R/V F.G. Walton Smith
Community Standard Description
International Council for the Exploration of the Sea
R/V F.G. Walton Smith
vessel
WS15161
Robert K. Cowen
University of Miami Rosenstiel School of Marine and Atmospheric Science
R/V F.G. Walton Smith
Community Standard Description
International Council for the Exploration of the Sea
R/V F.G. Walton Smith
vessel