http://lod.bco-dmo.org/id/dataset/564816
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
2015-08-27
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Velocity fields from turbulence tanks, with analysis performed to describe its turbulence characteristics analyzed at University of California - Berkeley (DiatomTrajectories project)
2015-07-31
publication
2015-07-31
revision
BCO-DMO Linked Data URI
2015-07-31
creation
http://lod.bco-dmo.org/id/dataset/564816
Lee Karp-Boss
University of Maine
principalInvestigator
Dr Evan Variano
University of California-Berkeley
principalInvestigator
Dr Peter Jumars
University of Maine
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: Variano, E., Karp-Boss, L., Jumars, P. (2015) Velocity fields from turbulence tanks, with analysis performed to describe its turbulence characteristics analyzed at University of California - Berkeley (DiatomTrajectories project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2015-07-31) Version Date 2015-07-31 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/564816 [access date]
Velocity fields from turbulence tank, with analysis performed to describe its turbulence characteristics. Dataset Description: <p>This dataset is available as a large.zip file (1.8 GB compressed; 3.5 GB uncompressed) available for <a href="http://dmoserv3.bco-dmo.org/data/DiatomTrajectories/Final_Turbulence_analysis.zip">Download</a> (WARNING: LARGE FILE). Each folder represents a different experiment. In the folders are:</p>
<p>1) A series of txt files, each of which describes 1 independent sample of a 3D velocity vector field measured in an x-y plane in the turbulence tank. The data is 5-column tab-delimited data:<br />
Column 1 is x-location of velocity measurement (in mm, and defined relative to origin at the tank’s geometric center)<br />
Column 2 is y-location (in mm)<br />
Column 3 is x-component of velocity vector (in m/s)<br />
Column 4 and 5 are y- and z-components of velocity vector, respectively (in m/s)</p>
<p>2) A *.mat file, including the same data as above, but arranged into an LxMxN matrix, in which L is x-location, M is y-location, and N is number of independent samples.&nbsp; Velocity components are called UU,VV, and WW.&nbsp; The x- and y- values are called xvals and yvals.&nbsp; This file is constructed from the *.txt files using the *.m file found in the root directory “view_and_organize_vectors_from_Darling.m”</p>
<p>3) Eight *.png figures that summarize the turbulent features of velocity fields.</p>
<p>4) A *.dat file giving some key statistics describing the turbulent features of velocity fields.&nbsp; This file is constructed from the *.mat files using the *.m file found in the root directory “analyze_vectors_from_Darling.m”</p> Methods and Sampling: <p>The txt files are output from the DaVis 8 software program, using Stereoscopic PIV (particle image velocimetry) mode. This software computes the velocity vectors (given in the txt files) from digital video captured in a fluid flow The full DaVis 8 steroscopic PIV process is described in the documentation provided by LaVision GMBH. Key processing parameters are recorded in the file “notes.txt” in the root directory.&nbsp;</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1334788 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1334788
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1334365 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1334365
completed
Lee Karp-Boss
University of Maine
207-581-4305
345 Aubert Hall
Orono
ME
04469
USA
lee.karp-boss@maine.edu
pointOfContact
Dr Evan Variano
University of California-Berkeley
510-642-2648
623 Davis Hall
Berkeley
CA
94720-1710
USA
variano@berkeley.edu
pointOfContact
Dr Peter Jumars
University of Maine
207-563-8101
193 Clark's Cove Road
Walpole
ME
04573-3307
USA
jumars@maine.edu
pointOfContact
asNeeded
Dataset Version: 2015-07-31
Unknown
filename
PIV camera
PIV laser
theme
None, User defined
file_link
featureType
BCO-DMO Standard Parameters
Camera
Laser
instrument
BCO-DMO Standard Instruments
Variano_lab
service
Deployment Activity
University of California - Berkeley
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.
Trajectories and spatial distributions of diatoms at dissipation scales of turbulence
https://osprey.bco-dmo.org/project/564167
Trajectories and spatial distributions of diatoms at dissipation scales of turbulence
<p><em>Description from NSF award abstract:</em><br />
Turbulence is ubiquitous and important in the upper mixed layer where phytoplankton reside. On scales relevant to individual cells and colonies, dissipating turbulence erodes molecular diffusive boundary layers around cells and affects probabilities of encounter critical for processes such as predator-prey interactions and aggregation. Superimposed on ambient fluid motion are local motions of cells due to tumbling and sinking. How these motions interact with ambient turbulence is not well understood, particularly for the morphologically diverse, non-motile diatoms that dominate primary productivity. Recent studies show that still-water sinking velocities of particles and turbulent diffusive motions of fluids cannot simply be added together to solve for particle motions; for negatively and nearly neutrally buoyant particles, high turbulence intensity produces several times faster sinking and rising velocities than seen in still water. Atmospheric studies of water droplets in clouds have focused on inertial mechanisms of acceleration, but the review in this proposal suggests that--in the parameter space defined by the particle characteristics of diatoms--shape may be much more important than inertia in determining plankton-turbulence interactions. The investigators propose to study effects of turbulence on settling trajectories and resultant spatial distributions of diatoms. Employing a novel volumetric particle imager, they will obtain 3D Lagrangian trajectories of individual cells and chains of selected strains of diatoms under controlled turbulence. By targeting species of different morphologies and mechanical properties as well as cultures at different growth stages, new insights will be gained on how physical, morphological and physiological properties affect sinking speeds and trajectories of non-motile phytoplankton.</p>
<p>Sinking is an important life strategy of phytoplankton, and its interaction with ambient flows holds significant implications for the residence time of phytoplankton in the mixed layer and ultimately for phytoplankton productivity in the photic zone and fluxes of elements to the deeper ocean. This study challenges common views on mechanisms that cause phytoplankton sinking in the ocean and offers a mechanistic dissection of departures in turbulent sinking from Stokes settling. By targeting species of varied morphologies and mechanical properties, as well as cultures at different growth stages, new insights will be gained into how physical, morphological and physiological properties interact to determine sinking speeds and trajectories of non-motile phytoplankton, particularly in and near the vortices that dominate turbulent flows. Results from this study will also advance understanding of underlying spatial distributions of phytoplankton in the poorly resolved decimeter to millimeter domain, with abundant implications for the foraging fields of grazers and formation of particle aggregates.</p>
DiatomTrajectories
largerWorkCitation
project
eng; USA
biota
oceans
University of California - Berkeley
2015-07-31
Laboratory in Orono, Maine
0
BCO-DMO catalogue of parameters from Velocity fields from turbulence tanks, with analysis performed to describe its turbulence characteristics analyzed at University of California - Berkeley (DiatomTrajectories 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/564825.rdf
Name: filename
Units: unitless
Description: <p>link to file download</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
139
https://datadocs.bco-dmo.org/file/WWW1EZxi539E1V/PIV_files.csv
PIV_files.csv
Primary data file for dataset ID 564816
download
https://osprey.bco-dmo.org/dataset/564816/data/download
download
onLine
dataset
<p>The txt files are output from the DaVis 8 software program, using Stereoscopic PIV (particle image velocimetry) mode. This software computes the velocity vectors (given in the txt files) from digital video captured in a fluid flow The full DaVis 8 steroscopic PIV process is described in the documentation provided by LaVision GMBH. Key processing parameters are recorded in the file “notes.txt” in the root directory.&nbsp;</p>
Specified by the Principal Investigator(s)
<p>All processing to this data is explained in the two commented *.m-files in the root directory.</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
PIV camera
PIV camera
PI Supplied Instrument Name: PIV camera PI Supplied Instrument Description:Cameras:
Two LaVision Imager Intense camera
Resolution: 1376 x 1040 px
Lenses:
Nikon AF Micro Nikkor 60 mm 1:2.8 D
532 nm bandpass filters Instrument Name: Camera Instrument Short Name:camera Instrument Description: All types of photographic equipment including stills, video, film and digital systems. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/311/
PIV laser
PIV laser
PI Supplied Instrument Name: PIV laser PI Supplied Instrument Description:New Wave Research Nd:YAG Solo II 15 Hz; Wavelength 532 nm Instrument Name: Laser Instrument Short Name: Instrument Description: A device that generates an intense beam of coherent monochromatic light (or other electromagnetic radiation) by stimulated emission of photons from excited atoms or molecules.
Deployment: Variano_lab
Variano_lab
UC_Berkeley
laboratory
Variano_lab
Dr Evan Variano
University of California-Berkeley
UC_Berkeley
laboratory