http://lod.bco-dmo.org/id/dataset/720637
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
2017-12-07
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Along-stream velocity, cross-stream velocity, and estimated pressure gradient at station E located at an oyster reef in Wassaw Sound, Georgia in November of 2014 (SensoryNCE project)
2018-07-12
publication
2018-07-12
revision
BCO-DMO Linked Data URI
2018-07-12
creation
http://lod.bco-dmo.org/id/dataset/720637
Marc Weissburg
Georgia Institute of Technology
principalInvestigator
Julia Kubanek
Georgia Institute of Technology
principalInvestigator
Donald Webster
Georgia Institute of Technology
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: Weissburg, M., Kubanek, J., Webster, D. (2018) Along-stream velocity, cross-stream velocity, and estimated pressure gradient at station E located at an oyster reef in Wassaw Sound, Georgia in November of 2014 (SensoryNCE project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2) Version Date 2018-07-12 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/720637 [access date]
Dataset Description: <p>This dataset along-stream velocity,&nbsp;cross-stream velocity,&nbsp;and estimated pressure gradient at station&nbsp;E located at an oyster reef&nbsp;in Wassaw Sound, Georgia from November 3rd to&nbsp;6th, 2014.&nbsp;&nbsp;</p>
<p>These data were published in Young et al., 2016 (see Fig. 7 and Fig. 8)</p>
<p>In addition to the "Get data" button above which provides various options to download the data in ASCII format, the originally submitted data is available in MATLAB .mat format (<a href="https://datadocs.bco-dmo.org/d3/data_docs/SensoryNCE/RotAvg30secADV07.mat" target="_blank">RotAvg30secADV07.mat</a>, 27 KB)</p> Methods and Sampling: <p>The equipment used was an Acoustic Doppler Velocimeter (ADV, Nortek Vector – Nortek AS, Rud, Norway).&nbsp; ADVs measure the fluid velocity at essentially a point in the flow.&nbsp; The ADV measurements have a resolution of 1 mm/s and were collected continuously at 1 Hz.</p>
<p>Pressure Transducer - The equipment used is an Onset HOBO pressure transducers (PTs).&nbsp; The PTs measured absolute pressure and temperature every 30 sec.&nbsp; The PTs were housed in custom-made PVC stands.&nbsp; The stand’s aluminum plate prevented instrument settling during the deployment cycle and the bolt/dive-weight assembly fixed the vertical elevation of the PTs within the stand.&nbsp; The three PTs were surveyed daily with static GPS for at least two hours.&nbsp; Additionally, a GPS base station, located on the nearby fixed dock, was surveyed daily for at least eight hours to improve GPS vertical elevation accuracy during post-processing.&nbsp; The GPS antennae were Ashtech Duel Frequency Marine Antenna (Ashtech S.A.S., Carquefou, France) that were connected to either Ashtech ProFlex 500 GS or Z-Surveyor receivers and were programmed to record internally at 10 sec intervals.&nbsp; The water salinity was measured near the surface from the dock (Fig. 1) at 4:15 PM on November 3rd, 2014 and 11:35 AM on November 6th, 2014 and was 25.7 and 26.3, respectively.</p>
<p>Sampling Location Map:</p>
<p><a href="https://datadocs.bco-dmo.org/d3/data_docs/SensoryNCE/fig/fig1.png" target="_blank"><img alt="Sampling locations" src="https://datadocs.bco-dmo.org/d3/data_docs/SensoryNCE/fig/fig1_600px.jpg" style="height:547px; width:600px" /></a></p>
<p>Image courtesy of David Young</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1234449 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1234449
completed
Marc Weissburg
Georgia Institute of Technology
404-894-8433
School of Biological Sciences Georgia Institute of Technology
Atlanta
GA
30332-0230
USA
marc.weissburg@biology.gatech.edu
pointOfContact
Julia Kubanek
Georgia Institute of Technology
404-894-8424
School of Biological Sciences Georgia Institute of Technology
Atlanta
GA
30332-0230
USA
julia.kubanek@biosci.gatech.edu
pointOfContact
Donald Webster
Georgia Institute of Technology
School of Civil and Environmental Engineering
Atlanta
GA
30332
USA
dwebster@ce.gatech.edu
pointOfContact
asNeeded
Dataset Version: 2
Unknown
date
time
streamwise_velocity
crosswise_velocity
upward_velocity
water_level
pressure_gradient
lat_approx
lon_approx
ISO_DateTime_UTC
Nortek Aquadopp HR-profiler
Onset HOBO pressure transducers (PTs)
theme
None, User defined
date
time of day
No BCO-DMO term
sea surface elevation
latitude
longitude
ISO_DateTime_UTC
featureType
BCO-DMO Standard Parameters
Acoustic Doppler Current Profiler
Pressure Sensor
instrument
BCO-DMO Standard Instruments
SensoryNCE_2014
service
Deployment Activity
Wassaw Sound, Georgia
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.
The role of the sensory environment and predator chemical signal properties in determining NCE strength in cascading interactions on oyster reefs
https://osprey.bco-dmo.org/project/565703
The role of the sensory environment and predator chemical signal properties in determining NCE strength in cascading interactions on oyster reefs
<p><em>Extracted from the NSF award abstract:</em></p>
<p>In this project, the investigators will examine the ability of top blue crab predators to indirectly benefit the abundance of basal oyster prey by reducing the density (consumptive effects, CEs) and suppressing foraging (non-consumptive effects, NCEs) of intermediate mud crab predators. These NCEs are mediated by chemical perception of aversive cues in blue crab urine and produce a behaviorally mediated trophic cascade. Through a series of manipulative experiments, the investigators will examine how the strength of this behaviorally-mediated trophic cascade is modulated and factors that influence perceptive range such as predator diet and intake rate, and the flow environment. The investigators will also determine the chemical identity, concentration and release rate of chemical cues.</p>
<p>Identifying the quantitative and molecular aspects of aversive cues, and linking them to behavioral responses that produce trophic cascades establishes the chemical basis of risk perception by prey and how this translates into cascading ecological effects. The use of perceptive range as a framework for evaluating the effects of both chemistry and environment provides an integrated view of processes affecting chemically-mediated NCEs. The use of a water borne predator-prey signaling system to test ideas on the strength of NCEs should have broad applications.</p>
SensoryNCE
largerWorkCitation
project
eng; USA
oceans
Wassaw Sound, Georgia
-81.1392
-81.1392
31.9199
31.9199
2014-11-03
2014-11-06
Intertidal and subtidal oyster reefs in Wassaw Sound, Georgia, US
0
BCO-DMO catalogue of parameters from Along-stream velocity, cross-stream velocity, and estimated pressure gradient at station E located at an oyster reef in Wassaw Sound, Georgia in November of 2014 (SensoryNCE 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/720654.rdf
Name: date
Units: unitless
Description: <p>Date (local EST) in format yyyy-mm-dd</p>
http://lod.bco-dmo.org/id/dataset-parameter/720655.rdf
Name: time
Units: unitless
Description: <p>Time (local EST) in format HH:MM:SS</p>
http://lod.bco-dmo.org/id/dataset-parameter/720656.rdf
Name: streamwise_velocity
Units: centimeters per second (cm/s)
Description: <p>Stream-wise velocity</p>
http://lod.bco-dmo.org/id/dataset-parameter/720657.rdf
Name: crosswise_velocity
Units: centimeters per second (cm/s)
Description: <p>Cross-wise velocity</p>
http://lod.bco-dmo.org/id/dataset-parameter/720658.rdf
Name: upward_velocity
Units: centimeters per second (cm/s)
Description: <p>Upward velocity</p>
http://lod.bco-dmo.org/id/dataset-parameter/720659.rdf
Name: water_level
Units: meters
Description: <p>Water level from the ADV at station C (ADV07). This is assumed to be equal to water level at the pressure transducer at station D (PT-D).</p>
http://lod.bco-dmo.org/id/dataset-parameter/720660.rdf
Name: pressure_gradient
Units: dimensionless
Description: <p>pressure gradient (meters of drop in water level per meter of horizontal distance).</p>
http://lod.bco-dmo.org/id/dataset-parameter/720661.rdf
Name: lat_approx
Units: decimal degrees
Description: <p>Approximate latitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/720662.rdf
Name: lon_approx
Units: decimal degrees
Description: <p>Approximate longitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/739786.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: <p>Timestamp (UTC) in standard ISO 8601:2004(E) format YYYY-mm-ddTHH:MM:SSZ</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
77601
https://datadocs.bco-dmo.org/file/QAAXlnYu33VL5v/ADV_E_Rot.csv
ADV_E_Rot.csv
Primary data file for dataset ID 720637
download
https://osprey.bco-dmo.org/dataset/720637/data/download
download
onLine
dataset
<p>The equipment used was an Acoustic Doppler Velocimeter (ADV, Nortek Vector – Nortek AS, Rud, Norway).&nbsp; ADVs measure the fluid velocity at essentially a point in the flow.&nbsp; The ADV measurements have a resolution of 1 mm/s and were collected continuously at 1 Hz.</p>
<p>Pressure Transducer - The equipment used is an Onset HOBO pressure transducers (PTs).&nbsp; The PTs measured absolute pressure and temperature every 30 sec.&nbsp; The PTs were housed in custom-made PVC stands.&nbsp; The stand’s aluminum plate prevented instrument settling during the deployment cycle and the bolt/dive-weight assembly fixed the vertical elevation of the PTs within the stand.&nbsp; The three PTs were surveyed daily with static GPS for at least two hours.&nbsp; Additionally, a GPS base station, located on the nearby fixed dock, was surveyed daily for at least eight hours to improve GPS vertical elevation accuracy during post-processing.&nbsp; The GPS antennae were Ashtech Duel Frequency Marine Antenna (Ashtech S.A.S., Carquefou, France) that were connected to either Ashtech ProFlex 500 GS or Z-Surveyor receivers and were programmed to record internally at 10 sec intervals.&nbsp; The water salinity was measured near the surface from the dock (Fig. 1) at 4:15 PM on November 3rd, 2014 and 11:35 AM on November 6th, 2014 and was 25.7 and 26.3, respectively.</p>
<p>Sampling Location Map:</p>
<p><a href="https://datadocs.bco-dmo.org/d3/data_docs/SensoryNCE/fig/fig1.png" target="_blank"><img alt="Sampling locations" src="https://datadocs.bco-dmo.org/d3/data_docs/SensoryNCE/fig/fig1_600px.jpg" style="height:547px; width:600px" /></a></p>
<p>Image courtesy of David Young</p>
Specified by the Principal Investigator(s)
<p>ADV - Data collected during low tide (determined by instances of the PT at station D being dry) were discarded.&nbsp; Following the recommendations of Chanson et al. (2008) and Wilson et al. (2013), data for which the average correlation coefficient of the three beams was less than 70% for 45 consecutive samples, or for which the average over 300 samples of the mean correlation coefficient of the three beams dropped below 70%, were discarded.&nbsp; This filtering predominately removed data collected while the instrument was not submerged, and less than 2% of the submerged instrument data were removed due to filtering.&nbsp; The dominant flow direction (if one was present) was determined for each ADV.&nbsp; An ellipse was fit to a scatter plot of the measured east and north velocity components for each ADV, and the major axis of the resulting ellipse is defined as the “along-stream” flow direction. &nbsp;Correspondingly, the minor axis is defined as the “cross-stream” direction.</p>
<p>Pressure Transducer - To convert the absolute pressure to gauge pressure, atmospheric pressure readings from the nearby (~ 13 <em>km</em> away) weather station at Skidaway Institute of Oceanography were employed.&nbsp; Gauge pressure was converted to water depth above the PT by assuming the pressure variation in the vertical direction was solely due to hydrostatic effects.&nbsp; The water density was determined from the PT temperature measurement and the salinity measured at the dock, which was assumed to be equal to the salinity in the vicinity of the PTs.&nbsp; Temperature and salinity were assumed to be vertically homogeneous.&nbsp; To improve the accuracy of the absolute pressure readings (and thus the estimated water surface elevation), the three PTs were calibrated in a 1 m deep tank at seven temperatures, ranging from 12 to 26 °C.&nbsp; Linear calibration curves were developed to calculate the pressure difference between two of the PTs (stations A and D) and the third reference PT (station F) as a function of temperature.&nbsp; These curves were used during data processing to adjust the pressure data to a common reference pressure.&nbsp; The standard deviations of the mean pressure difference between the PTs at stations A and D and the reference PT at station F were calculated for each calibration temperature.&nbsp; The difference was found to be less than 1o Pa in all cases, which corresponded to less than 1 mm of water surface elevation difference.&nbsp; The water surface elevation was calculated relative to the NAVD88 vertical datum by adding the water depth data to the PT elevation using the dimensions of the stand and the GPS measurement of the antenna position.&nbsp; To arrive at sufficiently accurate water surface elevation measurements, the GPS measurements were post-processed using GrafNet (NovAtel, Calgary, Alberta, Canada), treating the GPS system as a stationary closed loop network.&nbsp; The system included four GPS antenna/receivers (one at each PT and one on the dock) and several Continuously Operating Reference Stations (CORS) operated by the U.S. National Geodetic Survey (NGS).&nbsp; The estimated vertical accuracy from GrafNet was approximately 0.5 cm for all stations.&nbsp; This level of accuracy was obtained using simultaneous GPS measurements.&nbsp; The vertical positions of the PT stands did not vary during the experimental periods.&nbsp; The pressure gradient at Station E is the water surface elevation differential between the PT at station D and the PT at station F divided by the distance between station.&nbsp; Positive pressure gradient is defined as higher water level in the high marsh (PT at station D) than in the Little Ogeechee River (PT at station F)</p>
<p>BCO-DMO Data Manager Processing Notes:<br />
* added a conventional header with dataset name, PI name, version date<br />
* data extracted from MATLAB .mat files to ASCII flat files to serve in the BCO-DMO system<br />
* modified parameter names to conform with BCO-DMO naming conventions<br />
* added approximate lat and lon of sampling location to data<br />
* Time format changed from matlab datenum to Date and Time (yyyy-mm-dd,HH:MM:SS)<br />
* Data version 2 (2018-07-12) replaces data version 1 (2017-07-20) - improved metadata, added timestamp in UTC in addition to local date/time</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
Nortek Aquadopp HR-profiler
Nortek Aquadopp HR-profiler
PI Supplied Instrument Name: Nortek Aquadopp HR-profiler PI Supplied Instrument Description:current profiler (Nortek Aquadopp HR-profiler). Instrument Name: Acoustic Doppler Current Profiler Instrument Short Name:ADCP Instrument Description: The ADCP measures water currents with sound, using a principle of sound waves called the Doppler effect. A sound wave has a higher frequency, or pitch, when it moves to you than when it moves away. You hear the Doppler effect in action when a car speeds past with a characteristic building of sound that fades when the car passes. The ADCP works by transmitting "pings" of sound at a constant frequency into the water. (The pings are so highly pitched that humans and even dolphins can't hear them.) As the sound waves travel, they ricochet off particles suspended in the moving water, and reflect back to the instrument. Due to the Doppler effect, sound waves bounced back from a particle moving away from the profiler have a slightly lowered frequency when they return. Particles moving toward the instrument send back higher frequency waves. The difference in frequency between the waves the profiler sends out and the waves it receives is called the Doppler shift. The instrument uses this shift to calculate how fast the particle and the water around it are moving. Sound waves that hit particles far from the profiler take longer to come back than waves that strike close by. By measuring the time it takes for the waves to bounce back and the Doppler shift, the profiler can measure current speed at many different depths with each series of pings. (More from WHOI instruments listing). Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/115/
Onset HOBO pressure transducers (PTs)
Onset HOBO pressure transducers (PTs)
PI Supplied Instrument Name: Onset HOBO pressure transducers (PTs) Instrument Name: Pressure Sensor Instrument Short Name:Pressure Sensor Instrument Description: A pressure sensor is a device used to measure absolute, differential, or gauge pressures. It is used only when detailed instrument documentation is not available.
Deployment: SensoryNCE_2014
SensoryNCE_2014
Wassaw_Sound_GA
shoreside
SensoryNCE_2014
Marc Weissburg
Georgia Institute of Technology
Wassaw_Sound_GA
shoreside