http://lod.bco-dmo.org/id/dataset/683750
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
2017-03-03
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Raw capture efficiency data of scyphomedusae from video analysis collected in Woods Hole, MA beginning in 2015.
2017-03-01
publication
2017-03-01
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-04-04
publication
https://doi.org/10.1575/1912/bco-dmo.683750.1
Sean Colin
Roger Williams 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: Colin, S. (2017) Raw capture efficiency data of scyphomedusae from video analysis collected in Woods Hole, MA beginning in 2015. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2017-03-01 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.683750.1 [access date]
Raw capture efficiency data of scyphomedusae from video analysis. Dataset Description: <p>Raw capture efficiency data of scyphomedusae from video analysis.</p> Methods and Sampling: <p>Medusae were video recorded with different prey assemblages. Video was analyzed by identifying encounters (defined as prey entering encounter zone occupied by tentacles) and recording the outcome of each encounter.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1536688 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1536688
completed
Sean Colin
Roger Williams University
401-254-3142
Environmental Sciences and Marine Biology
Bristol
RI
02809
USA
scolin@rwu.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Cnidaria_species
individual
food_type
video_id
time
evaded
ingested
tentacle_capture
oralArm_capture
capture_evade
notes
encounter_effeciency
capture_effeciency
Camera
theme
None, User defined
species scientific name (binomial)
individual
No BCO-DMO term
file_name
time begin
count
comments
featureType
BCO-DMO Standard Parameters
Camera
instrument
BCO-DMO Standard Instruments
Colin_2015
service
Deployment Activity
Woods Hole, MA
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.
RUI: Collaborative Research: What's their impact?: Quantification of medusan feeding mechanics as a tool for predicting medusan predation
https://osprey.bco-dmo.org/project/654090
RUI: Collaborative Research: What's their impact?: Quantification of medusan feeding mechanics as a tool for predicting medusan predation
<p>In many areas around the world jellyfish population abundances are increasing and, at times, result in destructive blooms. Their rapid growth and high feeding rates make them important predators in marine ecosystems and their effects on ecosystems and human activities have increasingly raised concerns. Unfortunately, scientists do not currently understand the factors that determine which types of prey jellyfish eat and how much prey they eat. This presents a knowledge gap of increasing importance as jellyfish undergo inexplicable population fluctuations and invade new environments. In this project the investigators will develop a robust understanding of the factors that determine who and how much jellyfish consume based on their morphology, behavior and size. This fundamental understanding of their feeding process will enable researchers to use simple jellyfish characteristics to predict the ecological impact of different types of jellyfish. This project will include the studying of a greatly understudied group, rhizostome jellyfish, which represents many of the recorded bloom events and geographic expansions. Further, these techniques are sufficiently robust to have broader use in the study of physical-biological interactions for other jellyfish species and other pelagic organisms. The principal investigators participating in this collaboration are from primarily undergraduate institutions. Student participation in the project will involve several undergraduates during each year of the award. Through summer research at the Marine Biology Laboratory, undergraduate students will become exposed to a wide range of research and become immersed in a post-graduate environment that can strongly influence their perception of the scientific profession. The trophic impacts of scyphomedusae are subjects of broad international interest and results of our research will be exchanged with a wide range of colleagues, contributing to international scientific dialogue. In addition, we will use our contacts with media (e.g. PBS Shape of Life series, Fantastic Jellies exhibit at the New England Aquarium) involved in scientific education of the general public to communicate our new findings.</p>
<p>The goal of this project is to quantify the variables that control the post-encounter capture process in order to be able to predict the prey selection patterns and clearance rate potential of different rowing medusae based upon their morphological characteristics and size. To achieve this goal, the PIs will use laboratory and in situ videography and optics techniques to quantify the outcome of individual interactions with prey in the lab and in the field. Step-by-step quantification of the post-encounter capture process will enable them to quantify capture efficiencies of different prey types and determine which stages of the process were most influential in determining the outcome of the encounter. The investigators will use these quantitative observations to relate medusan morphology and nematocyst properties to capture efficiencies. This will allow them to predict prey selection patterns. These predictions will be combined with flow-based encounter models to predict clearance rate potential and prey selection of different medusan species under different prey conditions. Finally, the investigators will validate our predictions using laboratory bottle incubation studies to quantify prey selection and clearance rates of medusae fed different prey assemblages. When achieved, this study will provide marine ecologists with the critical "missing links" to be able to model and predict the ecological impact of medusae populations in a variety of environments.</p>
Medusan Feeding Mechanics
largerWorkCitation
project
eng; USA
oceans
Woods Hole, MA
2015-01-01
2015-12-31
Woods Hole, MA
0
BCO-DMO catalogue of parameters from Raw capture efficiency data of scyphomedusae from video analysis collected in Woods Hole, MA beginning in 2015.
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/683900.rdf
Name: Cnidaria_species
Units: unitless
Description: <p>Species of Cnidaria analyzed on video</p>
http://lod.bco-dmo.org/id/dataset-parameter/683901.rdf
Name: individual
Units: unitless
Description: <p>Individual ID number</p>
http://lod.bco-dmo.org/id/dataset-parameter/683902.rdf
Name: food_type
Units: unitless
Description: <p>Type of prey that was observed</p>
http://lod.bco-dmo.org/id/dataset-parameter/683903.rdf
Name: video_id
Units: unitless
Description: <p>Video ID number</p>
http://lod.bco-dmo.org/id/dataset-parameter/683904.rdf
Name: time
Units: unitless
Description: <p>Time interaction occurs in video; HH:MM:SS</p>
http://lod.bco-dmo.org/id/dataset-parameter/683905.rdf
Name: evaded
Units: count
Description: <p>Encounters that show the prey item evaded contact through the feeding current produced by the medusae; Each X represents a tally mark and should be counted as a single occurance of this behavior.</p>
http://lod.bco-dmo.org/id/dataset-parameter/683906.rdf
Name: ingested
Units: count
Description: <p>Encounters that resulted in being injested by the medusae (moved to the gastric pouches); Each X represents a tally mark and should be counted as a single occurance of this behavior.</p>
http://lod.bco-dmo.org/id/dataset-parameter/683907.rdf
Name: tentacle_capture
Units: count
Description: <p>Encounters that resulted in the capture of individuals on the tentacles; Each X represents a tally mark and should be counted as a single occurance of this behavior.</p>
http://lod.bco-dmo.org/id/dataset-parameter/683908.rdf
Name: oralArm_capture
Units: count
Description: <p>Encounters that resulted in the capture of individuals on the oral arms; Each X represents a tally mark and should be counted as a single occurance of this behavior.</p>
http://lod.bco-dmo.org/id/dataset-parameter/683909.rdf
Name: capture_evade
Units: count
Description: <p>Encounters that resulted in an initial capture of the individual prey items escaping by breaking contact with the medusae; Each X represents a tally mark and should be counted as a single occurance of this behavior.</p>
http://lod.bco-dmo.org/id/dataset-parameter/683910.rdf
Name: notes
Units: unitless
Description: <p>Observation notes</p>
http://lod.bco-dmo.org/id/dataset-parameter/683911.rdf
Name: encounter_effeciency
Units: unitless
Description: <p>All individuals that have some sort of interaction with the medusae weither through direct contact or through the feeding current.</p>
http://lod.bco-dmo.org/id/dataset-parameter/683912.rdf
Name: capture_effeciency
Units: unitless
Description: <p>Prey individuals making contact with the medusae within the tentacles and the oral arms and being captured by the medusae.</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
161140
https://darchive.mblwhoilibrary.org/bitstream/1912/23959/1/dataset-683750_capture-efficiency-scyphomedusae__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.683750.1
download
onLine
dataset
<p>Medusae were video recorded with different prey assemblages. Video was analyzed by identifying encounters (defined as prey entering encounter zone occupied by tentacles) and recording the outcome of each encounter.</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMO Data Processing Notes:</strong></p>
<p>-Combined multiple tables of data into one.<br />
-"Cnidaria_species" column was added.<br />
-"retention efficiency" and "size" columns were removed because they contained no data.<br />
-"nd" added to blank cells.</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
Camera
Camera
PI Supplied Instrument Name: Camera PI Supplied Instrument Description:Medusae were recorded on video and this was analyzed to produce the data 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/
Deployment: Colin_2015
Colin_2015
shoreside Massachusetts
shoreside
Colin_2015
Sean Colin
Roger Williams University
shoreside Massachusetts
shoreside