Dataset: Antarctic krill schooling: Rotation order parameters

Name: Rotation order parameters in each trial of Antarctic krill in lab experiments at Palmer Station, Antarctica in November 2022.
Published: 2024-03-26
Keywords: antarctic krill, schooling, kreisel tank, flow characterization, southern ocean ecology, collective behavior, stereophotogrammetry, oceans

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Palmer Station, Antarctica

Project:

Collaborative Research: Individual Based Approaches to Understanding Krill Distributions and Aggregations (Krill Aggregation)

Principal Investigator:

David Murphy (University of South Florida, USF)

Student:

Kuvvat Garayev (University of South Florida, USF)

Contact:

Kuvvat Garayev (University of South Florida, USF)

BCO-DMO Data Manager:

Karen Soenen (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2024-03-26

Restricted:

Validated:

Current State:

Data not available

Rotation order parameters in each trial of Antarctic krill in lab experiments at Palmer Station, Antarctica in November 2022.

Abstract:

Laboratory experiments were conducted on schools of Antarctic krill in the novel annular flume at Palmer Station, Antarctica, in November 2022. Using overhead camera along with stereophotogrammetry system the swimming trajectories of krill were recorded while altering flow and light levels in the tank. The purpose of the study is to understand how Antarctic krill schooling structure changes under environmental cues such as flow and light, with the hope that distribution of these important species can be predicted through knowledge of the environment in the wild. Southern Ocean ecologists, biologists, and oceanographers in general could benefit from this work. Kuvvat Garayev and David Murphy from University of South Florida were responsible for the collection and interpretation of data.

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Methods & Sampling

We deployed on the R/V Laurence M. Gould 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). 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 R/V Nathaniel B. Palmer, transported to Palmer Station, and added to the same holding tanks filled with filtered seawater (100 µm).

Data Processing Description

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.

“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”

“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 3rd 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.

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Office of Polar Programs (formerly NSF PLR)	OPP-1840941

Deployments

None available yet

Instruments

Machine Vision Camera System

Supplied Name:

Supplied 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 Type

Generic Name: Machine Vision Camera System

Generic Description:

A machine vision camera captures images or videos of a scene, which are then processed and analyzed using machine vision algorithms.

Parameters

Date and time formats are described in python strftime() syntax.

Supplied Name	Supplied description	Supplied Units	Standard Name
date	recording date in ISO format (yyy-mm-dd) Format: %Y-%m-%d	unitless	date
trial	trial number the experimenter used	unitless	exp_id
flow	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)	unitless	flow_rate
light	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)	unitless	light_intensity
krill_density	number of krill in a liter of water in the tank	krill/L	density
krill_total	expected approximate number of krill in the tank	unitless	count
krill_tracked	number of krill tracked in that image	unitless	count
Or	rotation order parameter of krill in that image	unitless	no_bcodmo_term
image	image on which Or was calculated	unitless	file_name
mean	mean of all three Or values	unitless	mean
std	standard deviation of all three Or values	unitless	std_dev
file_name	name of the recording file coincides with the time in hour-min-sec.msec format the recording took place	unitless	file_name
image_file	name of related image file (.tif) found in supplemental files of this dataset	unitless	file_name
coordinate_file	name of related coordinate file (.csv) found in supplemental files of this dataset	unitless	file_name

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Dataset: Antarctic krill schooling: Rotation order parameters