http://lod.bco-dmo.org/id/dataset/923518
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
2024-03-26
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Rotation order parameters in each trial of Antarctic krill in lab experiments at Palmer Station, Antarctica in November 2022.
2024-10-17
publication
2024-10-17
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2025-04-03
publication
https://doi.org/10.26008/1912/bco-dmo.923518.1
David Murphy
University of South Florida
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: Garayev, K., Murphy, D. (2025) Rotation order parameters in each trial of Antarctic krill in lab experiments at Palmer Station, Antarctica in November 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-10-17 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.923518.1 [access date]
Rotation order parameters antarctic krill school experiment Dataset Description: Methods and Sampling: <p>We deployed on the <em>R/V Laurence M. Gould </em>to Palmer Station, Antarctica in October - December 2022. On the way, we collected krill using an Isaac-Kidd Midwater Trawl net at the following locations: 63°06.5′ S, 61°46.6′ W (on October 5th, 2022) and 64°37.9′ S, 62°14.5′ W (on October 6th, 2022).&nbsp;Krill were kept in two tanks with a continuous seawater supply on the boat until being transferred to holding tanks at the Station. Additional krill were collected from Wilhelmina Bay (64°42.0′ S, 62°16.6′ W) on November 12th by the <em>R/V Nathaniel B. Palmer</em>, transported to Palmer Station, and added to the same holding tanks filled with filtered seawater (100 µm).</p>
Funding provided by NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) Award Number: OPP-1840941 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1840941
onGoing
David Murphy
University of South Florida
813-974-5625
4202 E Fowler Ave
Tampa
FL
33612
USA
davidmurphy@usf.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
date
file_name
trial
flow
light
krill_density
krill_total
krill_tracked
Or
image
mean
std
image_file
coordinate_file
theme
None, User defined
date
file_name
experiment id
flow rate
light intensity
density
count
No BCO-DMO term
mean
standard deviation
featureType
BCO-DMO Standard Parameters
Machine Vision Camera System
instrument
BCO-DMO Standard Instruments
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: Individual Based Approaches to Understanding Krill Distributions and Aggregations
https://osprey.bco-dmo.org/project/898124
Collaborative Research: Individual Based Approaches to Understanding Krill Distributions and Aggregations
<p><strong>NSF Award Abstract:</strong><br />
Antarctic krill (Euphausia superba) are an ecologically important component of the Southern Ocean's food web, yet little is known about their behavior in response to many features of their aquatic environment. This project will improve understanding of krill swimming and schooling behavior by examining individual responses to light levels, water flow rates, the presence of attractive and repulsive chemical cues. Flow, light and chemical conditions will be controlled and altered in specialized tanks outfitted with high speed digital camera systems so that individual krill responses to these factors can be measured in relevant schooling settings. This analysis will be used to predict preferred environments, define the capacity of krill to detect and move to them (and away from unfavorable ones). Such information will then be used to improve models that estimate the energetic costs of behaviors associated with different types of environments. Linking individual behavior to those of larger krill aggregations will also improve acoustic assessments of krill densities. Understanding the capacity of krill to respond to environmental perturbations will improve our understanding of the ecology of high latitude ecosystems and provide relevant information for the management of krill fisheries. The project will support graduate and undergraduate students and provide training for as post-doctoral associate. Curricular materials and public engagement activities will be based on the project's aims and activities. Project investigators will share model results and predictions of krill movements and school structure with experts interested in krill conservation and management.</p>
<p>The project will use horizontal and vertical laminar flow tunnels to examine krill behavior under naturally relevant conditions. Horizontal (1-10 cm per second) and vertical (1-3 mm per second) flow velocities mimic naturally relevant current patterns, while light levels and spectral quality will be varied from complete darkness to intensities experienced across the depth range inhabited by krill. Attractive phytoplankton odor will be created by dosing the flumes to obtain background chlorophyll a levels approximating average and bloom conditions, while repulsive cues will be generated from penguin guano. Behavior of individual krill in all conditions will be video recorded with cameras visualizing X-Y and Y-Z planes, and 3D movements will be reconstructed by video motion analysis at a 5 Hz sampling rate. The distribution of horizontal and vertical swimming angles and velocities will be used to create an individual based model (IBM) of krill movement in response to each condition, where krill behavior at each model time step is based on random draws from the velocity and angular distributions. Since krill commonly travel in groups, further experiments will examine the behavior of small krill schools in these same conditions to further parameterize variables such as individual spacing. Researchers will examine krill aggregation structure from 3D video records of krill swimming in a specially designed kriesel tank, and compute nearest neighbor distances (NND) and correlations of swimming angles among individuals within the aggregation. Krill movements in the IBM will be constrained to adhere to observed NND and angular correlations. Large scale oceanographic models will be used to define spatial environments in which the modelled krill will be allowed to move using simulated schools of 1000-100,000 krill. Model output will include the school swimming speed, direction and structure (packing density, NND). Researchers will compare available acoustic data sets of krill schools in measured flow and phytoplankton abundance to evaluate the model predictions.</p>
<p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p>
Krill Aggregation
largerWorkCitation
project
eng; USA
oceans
2022-11-02
2022-11-23
0
BCO-DMO catalogue of parameters from Rotation order parameters in each trial of Antarctic krill in lab experiments at Palmer Station, Antarctica in November 2022.
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/940663.rdf
Name: date
Units: units
Description: <p>recording date in ISO format (yyy-mm-dd)</p>
http://lod.bco-dmo.org/id/dataset-parameter/940664.rdf
Name: file_name
Units: unitless
Description: <p>name of the recording file coincides with the time in hour-min-sec.msec format the recording took place</p>
http://lod.bco-dmo.org/id/dataset-parameter/940665.rdf
Name: trial
Units: unitless
Description: <p>trial number the experimenter used</p>
http://lod.bco-dmo.org/id/dataset-parameter/940666.rdf
Name: flow
Units: unitless
Description: <p>flow level in the tank, no flow (0 mm/s), low flow (7 mm/s mean flow speed), high flow (22 mm/s mean flow speed)</p>
http://lod.bco-dmo.org/id/dataset-parameter/940667.rdf
Name: light
Units: unitless
Description: <p>light level in the tank, total dark and bright (0.1 and 9.5 micromol/m2/s, respectively, based on photon fluxes in 400-700 nm wavelength range)</p>
http://lod.bco-dmo.org/id/dataset-parameter/940668.rdf
Name: krill_density
Units: krill/L
Description: <p>number of krill in a liter of water in the tank</p>
http://lod.bco-dmo.org/id/dataset-parameter/940669.rdf
Name: krill_total
Units: unitless
Description: <p>expected approximate number of krill in the tank</p>
http://lod.bco-dmo.org/id/dataset-parameter/940670.rdf
Name: krill_tracked
Units: unitless
Description: <p>number of krill tracked in that image</p>
http://lod.bco-dmo.org/id/dataset-parameter/940671.rdf
Name: Or
Units: unitless
Description: <p>rotation order parameter of krill in that image</p>
http://lod.bco-dmo.org/id/dataset-parameter/940672.rdf
Name: image
Units: unitless
Description: <p>image on which Or was calculated</p>
http://lod.bco-dmo.org/id/dataset-parameter/940673.rdf
Name: mean
Units: unitless
Description: <p>mean of all three Or values</p>
http://lod.bco-dmo.org/id/dataset-parameter/940674.rdf
Name: std
Units: unitless
Description: <p>standard deviation of all three Or values</p>
http://lod.bco-dmo.org/id/dataset-parameter/940675.rdf
Name: image_file
Units: unitless
Description: <p>name of related image file (.tif) found in supplemental files of this dataset</p>
http://lod.bco-dmo.org/id/dataset-parameter/940676.rdf
Name: coordinate_file
Units: unitless
Description: <p>name of related coordinate file (.csv) found in supplemental files of this dataset</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
11614
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/291ab230-107c-43c0-a6be-a458d8d2eba3/content
download
https://doi.org/10.26008/1912/bco-dmo.923518.1
download
onLine
dataset
<p>We deployed on the <em>R/V Laurence M. Gould </em>to Palmer Station, Antarctica in October - December 2022. On the way, we collected krill using an Isaac-Kidd Midwater Trawl net at the following locations: 63°06.5′ S, 61°46.6′ W (on October 5th, 2022) and 64°37.9′ S, 62°14.5′ W (on October 6th, 2022).&nbsp;Krill were kept in two tanks with a continuous seawater supply on the boat until being transferred to holding tanks at the Station. Additional krill were collected from Wilhelmina Bay (64°42.0′ S, 62°16.6′ W) on November 12th by the <em>R/V Nathaniel B. Palmer</em>, transported to Palmer Station, and added to the same holding tanks filled with filtered seawater (100 µm).</p>
Specified by the Principal Investigator(s)
<p>For rotation order parameters (Or) we manually annotated krill right eyes in ImageJ 1.53c at three frames (initial, middle, and last) in 5 min recording.</p>
<p>“rotation order parameters (Or)” is for plotting the strength of schooling in each trial where strength is assessed by calculating the parameter named Or (Tunstrøm, et al., 2013). “rotation order parameters (Or)” contains two folders: “coordinates” and “images”; and one spreadsheet: “rotation order parameters.xlsx”</p>
<p>“coordinates” contains .csv files of krill coordinates in the three images throughout ~5min videos for each of 40 trials at different conditions. Files are named as trial #_image #. For example, file 4_3.csv belongs to the 3<sup>rd</sup> image of trial 4. Raw images are included in “images” folder, and trial dates, times, names, flow and light conditions, and calculated Or values are given in rotation order parameters.xlsx file.</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
PI Supplied Instrument Name: PI Supplied Instrument Description:Four 4 cameras (5 MP AVT Mako) were time synchronized using StreamPix software and recorded to a system at 20 Hz frame rate (Norpix, Canada). Overhead camera (Camera 1) is equipped with a 8 mm focal length lens (M0824-MPW2, Computar) whereas stereo cameras (Cameras 2-4) are equipped with 25 mm focal length lenses (M3520-MPW2, Computar). Instrument Name: Machine Vision Camera System Instrument Short Name: Instrument Description: A machine vision camera captures images or videos of a scene, which are then processed and analyzed using machine vision algorithms.