http://lod.bco-dmo.org/id/dataset/982717
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
2025-08-18
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Velocity and turbulence measurements around a dense aggregation of mussels from a flume experiment conducted July 2023
2025-08-18
publication
2025-08-18
revision
Woods Hole Oceanographic Institution (WHOI BCO-DMO)
2026-03-10
publication
https://doi.org/10.26008/1912/bco-dmo.982717.1
Matthew Reidenbach
University of Virginia
principalInvestigator
Kelsey O'Donnell
University of Virginia
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: O'Donnell, K., Reidenbach, M. (2026) Velocity and turbulence measurements around a dense aggregation of mussels from a flume experiment conducted July 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-08-18 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.982717.1 [access date]
Flume experiment Vectrino Dataset Description: <p>This data is&nbsp;from a flume experiment undertaken at Friday Harbor Laboratories in July 2023 as part of a project investigating how the conplex 3D structure and metabolic activity of dense aggregations of marine organisms can alter interstitial water chemistry, and how these&nbsp;microscale alterations affect interactions in coastal ecosystems.&nbsp;</p>
<p>This dataset presents velocity and turbulence data measured using a Nortek Vectrino.&nbsp;</p>
<p>Additional data on bulk seawater chemistry from HOBO loggers and interstitial water chemistry from Pyroscience microsensors can be viewed at https://www.bco-dmo.org/dataset/982681 (see also Related Datasets section below).</p> Methods and Sampling: <p>A flume experiment was conducted at Friday Harbor&nbsp;Laboratories where flow and chemical gradients were measured within and above a dense aggregation of mussels (Mytilus trossolus). Four experimental flume speeds were examined: Q=quarter inch per second, H=half inch per second, O=one inch per second, and OH=one and a half inches per second.&nbsp;Data collection occurred over five days (July 24-28th, 2023)&nbsp;with a complete set of profiles measured at each background speed (n=4) every day. This led to a total of 20 profiles taken at 5 mussel&nbsp;bed locations, including 5 replicates of chemistry profiles and 3 replicates of velocity profiles at each of the background speeds: 0.25, 0.5, 1, 1.5 inch/sec or 0.6, 1.3, 2.5, 3.8 cm/sec&nbsp;respectively. A background velocity in inches was initially used&nbsp;because this was how the flume’s motor was set up.</p>
<p>Velocity profiles were taken over an experimental mussel aggregation in a recirculating seawater flume at Friday Harbor Laboratories (Friday Harbor, WA) using&nbsp;a Nortek Vectrino. Acoustic Doppler devices use sound waves and measure velocity fluctuations underwater using the Doppler effect.&nbsp;The Vectrino measures velocity in three dimensions (x,y,z) and has a duplicate sensor measuring the vertical z direction twice (z1 and z2). This is important as the vertical velocity component of turbulent flows is a key contributor to the mixing processes that occur, along with the exchange of energy, nutrients and particulates. The measurement volume has a height of 0.4 cm and diameter of 0.6 cm and is located 5 cm below the Vectrino’s transducer. A sampling frequency of 25 Hz was used with a nominal velocity range of +/- 0.3.&nbsp;Velocity measurements were taken for at least 3 minutes and were visually inspected for large fluctuations that may have been due to insufficient particles in the flume. Due to this, and the issue that the Vectrino needs the particles that mussel beds filter out, the flume was seeded with a mixture of water and fine clay to improve stability and accuracy of measurements if needed. Measurements were taken at a minimum of 11 different heights at a certain location in the aggregation. Setup included attaching the Vectrino to a metal stand using a ring clamp. The stand was marked every 0.5 cm for easy and consistent instrument movement during profiling. To measure interstitial gradients, a small hole was created in the mussel aggregation by removing a couple of mussels so that measurements could be taken in the bottom of the bed without interference from the mussels themselves. While this isn’t ideal, the hole was made as small as possible, and O’Donnell (2008) suggests that holes within the bed smaller than 5 cm do not significantly impact flow.&nbsp;&nbsp;</p>
<p>&nbsp;</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2050345 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2050345
completed
Matthew Reidenbach
University of Virginia
434-243-4937
291 McCormick Rd Clark Hall, P.O. Box 400123
Charlottesville
VA
22904
USA
mar5jj@virginia.edu
pointOfContact
Kelsey O'Donnell
University of Virginia
650-576-9335
qnp5rg@virginia.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Trial
Day
Date
flume_speed
flume_speed_inch_per_sec
flume_speed_cm_per_sec
V1
V2
V3
V4
V5
V6
V7
V8
V9
V10
V11
V12
V13
V14
V15
file_name
Nortek Vectrino
FireSting-PRO fiber optic meter
recirculating seawater flume
Onset HOBO pH/Temperature (MX2501) data logger
Onset HOBO Conductivity (U24-002-C) logger
Onset HOBO dissolved oxygen (U26-001) logger
Pyroscience TSUB21 temperature sensor
Pyroscience OXROB10-CL4 micro-oxygen sensor
Pyroscience pH micro-sensor probe PHROBSC-PK8T
theme
None, User defined
experiment id
brief description
date
speed
altitude
streamwise velocity
transverse velocity
Vertical velocity of water current
No BCO-DMO term
coefficient of determination (R-squared)
file_name
featureType
BCO-DMO Standard Parameters
Acoustic Doppler Velocimeter
FireSting-PRO Optical Multi-Analyte Meter
high-speed flume
Onset HOBO pH and Temperature data logger MX2501
Onset HOBO Saltwater Conductivity/Salinity data logger U24-002-C
Onset HOBO U26-001 Dissolved Oxygen Data Logger
Pyroscience Pt100 Temperature Probe TSUB21
Pyroscience Robust Oxygen Probe OXROB10-CL4
Pyroscience Robust pH Screw Cap Probe PHROBSC-PK8T
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: Microscale interactions of foundation species with their fluid environment: biological feedbacks alter ecological interactions of mussels
https://osprey.bco-dmo.org/project/872978
Collaborative Research: Microscale interactions of foundation species with their fluid environment: biological feedbacks alter ecological interactions of mussels
<p><em>NSF Award Abstract:</em><br />
The project investigates how the metabolic activity of dense aggregations of marine organisms alter the water chemistry of their interstitial spaces, and how these microscale alterations feedback to affect the organisms’ interactions in coastal ecosystems. The research team focuses on bivalve mussels, foundation species that form dense ‘beds’ typically known for facilitating other species by ameliorating harsh flow conditions. This ability can become a liability, however, if flow is not sufficient to flush the interstitial spaces and steep, metabolically-driven concentration gradients develop. The research evaluates whether corrosive chemical microclimates (such as low oxygen or low pH) are most extreme in low flow, high temperature conditions, especially for dense aggregations of mussels with large biomass and/or high respiration rates, and if they negatively impact mussel beds and the diverse biological communities they support. The research addresses a global societal concern, the impact of anthropogenic climate change on coastal marine ecosystems, and has potential applications to aquaculture and biofouling industries by informing adaptation strategies to “future-proof” mussel farms in the face of climate change and improved antifouling practices for ships, moorings, and industrial cooling systems. The project forges new collaborations with investigators from three campuses and integrates research and education through interdisciplinary training of a diverse group of graduate, undergraduate and high school students. STEM education and environmental stewardship is promoted by the development of a K-12 level science curriculum module and a hand’s-on public exhibit of bivalve biology at a local shellfish farm. Research findings are disseminated in a variety of forums, including peer-reviewed scientific publications and research presentations at regional, national and international meetings.</p>
<p>The research team develops a framework that links environmental conditions measured at a coarse scale (100m-100km; e.g., most environmental observatories) and ecological processes at the organismal scale (1 cm – 10 m). Specifically, the project investigates how aggregations of foundation species impact flow through interstitial spaces, and how this ultimately impacts water chemistry immediately adjacent to the organisms. The research focuses on mytilid mussels, with the expectation that the aggregation alters the flow and chemical transport in two ways, one by creating a physical resistance, which reduces the exchange, and the other by enhancing the exchange due to their incurrent/excurrent pumping. These metabolically-driven feedbacks are expected to be strongest in densely packed, high biomass aggregations and under certain ambient environmental conditions, namely low flow and elevated temperature, and can lead to a range of negative ecological impacts that could not be predicted directly from coarse scale measures of ambient seawater chemistry or temperature. The team develops computational fluid dynamic (CFD) models to predict interstitial flows and concentration gradients of dissolved oxygen and pH within mussel beds. The CFD model incorporates mussel behavior and physiological activity (filtration, gaping, respiration) based on published values as well as new empirical work. Model predictions are compared to flow and concentration gradients measured in mussel aggregations in the laboratory and field. Finally, the team conducts several short-term experiments to quantify some of the potential negative ecological impacts of corrosive interstitial water chemistry on mussel aggregations, such as reduced growth, increased dislodgement, increased predation risk, and reduced biodiversity. Because the model is based on fluid dynamic principles and functional traits, the framework is readily adaptable to other species that form dense assemblages, thereby providing a useful tool for predicting the ability of foundation species to persist and provide desirable ecosystem services under current and future multidimensional climate scenarios.</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>
Microscale Mussels
largerWorkCitation
project
eng; USA
biota
oceans
-123.011393
-123.011393
48.546342
48.546342
2023-07-24
2023-07-28
University of Washington Friday Harbor Laboratories
0
BCO-DMO catalogue of parameters from Velocity and turbulence measurements around a dense aggregation of mussels from a flume experiment conducted July 2023
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/982762.rdf
Name: Trial
Units: unitless
Description: <p>Name of trial</p>
http://lod.bco-dmo.org/id/dataset-parameter/982763.rdf
Name: Day
Units: unitless
Description: <p>Day of trial</p>
http://lod.bco-dmo.org/id/dataset-parameter/982764.rdf
Name: Date
Units: unitless
Description: <p>Date of trial in flume experiment</p>
http://lod.bco-dmo.org/id/dataset-parameter/982765.rdf
Name: flume_speed
Units: unitless
Description: <p>Description of flume speed as fraction of inches per second</p>
http://lod.bco-dmo.org/id/dataset-parameter/982766.rdf
Name: flume_speed_inch_per_sec
Units: inches per second (in/s)
Description: <p>Flume speed in inches per second</p>
http://lod.bco-dmo.org/id/dataset-parameter/982767.rdf
Name: flume_speed_cm_per_sec
Units: centimeters per second (cm/s)
Description: <p>Flume speed in centimeters per second</p>
http://lod.bco-dmo.org/id/dataset-parameter/982768.rdf
Name: V1
Units: centimeters (cm)
Description: <p>Elevation above bottom where measurement was taken</p>
http://lod.bco-dmo.org/id/dataset-parameter/982769.rdf
Name: V2
Units: centimeters per second (cm/s)
Description: <p>Average horizontal velocity; ubar</p>
http://lod.bco-dmo.org/id/dataset-parameter/982770.rdf
Name: V3
Units: centimeters per second (cm/s)
Description: <p>Average transverse velocity; vbar</p>
http://lod.bco-dmo.org/id/dataset-parameter/982771.rdf
Name: V4
Units: centimeters per second (cm/s)
Description: <p>Average vertical velocity; wbar</p>
http://lod.bco-dmo.org/id/dataset-parameter/982772.rdf
Name: V5
Units: centimeters squared per second squared (cm^2/s^2)
Description: <p>Average product of the fluctuating horizontal velocity; u'u'bar</p>
http://lod.bco-dmo.org/id/dataset-parameter/982773.rdf
Name: V6
Units: centimeters squared per second squared (cm^2/s^2)
Description: <p>Average product of the fluctuating transverse velocity; v'v'bar</p>
http://lod.bco-dmo.org/id/dataset-parameter/982774.rdf
Name: V7
Units: centimeters squared per second squared (cm^2/s^2)
Description: <p>Average product of the fluctuating vertical velocity; w'w'bar</p>
http://lod.bco-dmo.org/id/dataset-parameter/982775.rdf
Name: V8
Units: centimeters squared per second squared (cm^2/s^2)
Description: <p>Reynolds stress; u'w' bar</p>
http://lod.bco-dmo.org/id/dataset-parameter/982776.rdf
Name: V9
Units: centimeters squared per second squared (cm^2/s^2)
Description: <p>Average product of the fluctuating transverse and vertical velocity; v'w'bar</p>
http://lod.bco-dmo.org/id/dataset-parameter/982777.rdf
Name: V10
Units: centimeters squared per second squared (cm^2/s^2)
Description: <p>Average product of the fluctuating horizontal and transverse velocity; u'v'bar</p>
http://lod.bco-dmo.org/id/dataset-parameter/982778.rdf
Name: V11
Units: centimeters per second (cm/s)
Description: <p>Magnitude of the average fluctuating vertical velocity; w'bar</p>
http://lod.bco-dmo.org/id/dataset-parameter/982779.rdf
Name: V12
Units: meters squared per cubic second (m^2/s^3)
Description: <p>Turbulent Kinetic Energy dissipation rate</p>
http://lod.bco-dmo.org/id/dataset-parameter/982780.rdf
Name: V13
Units: unitless
Description: <p>Slope in the inertial subrange calculated via Fourier transformation of velocity data followed by a best fit line set to the inertial subrange. Value should be -5/3 in a fully developed inertial subrange.</p>
http://lod.bco-dmo.org/id/dataset-parameter/982781.rdf
Name: V14
Units: dimensionless
Description: <p>Value describes how close the best fit line is to a -5/3 slope</p>
http://lod.bco-dmo.org/id/dataset-parameter/982782.rdf
Name: V15
Units: per meter (m^-1)
Description: <p>Wave number, k, used with velocity power spectra, or Suu(k), in dissipation measurement</p>
http://lod.bco-dmo.org/id/dataset-parameter/982783.rdf
Name: file_name
Units: unitless
Description: <p>Original text file name</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
https://doi.org/10.26008/1912/bco-dmo.982717.1
download
onLine
dataset
<p>A flume experiment was conducted at Friday Harbor&nbsp;Laboratories where flow and chemical gradients were measured within and above a dense aggregation of mussels (Mytilus trossolus). Four experimental flume speeds were examined: Q=quarter inch per second, H=half inch per second, O=one inch per second, and OH=one and a half inches per second.&nbsp;Data collection occurred over five days (July 24-28th, 2023)&nbsp;with a complete set of profiles measured at each background speed (n=4) every day. This led to a total of 20 profiles taken at 5 mussel&nbsp;bed locations, including 5 replicates of chemistry profiles and 3 replicates of velocity profiles at each of the background speeds: 0.25, 0.5, 1, 1.5 inch/sec or 0.6, 1.3, 2.5, 3.8 cm/sec&nbsp;respectively. A background velocity in inches was initially used&nbsp;because this was how the flume’s motor was set up.</p>
<p>Velocity profiles were taken over an experimental mussel aggregation in a recirculating seawater flume at Friday Harbor Laboratories (Friday Harbor, WA) using&nbsp;a Nortek Vectrino. Acoustic Doppler devices use sound waves and measure velocity fluctuations underwater using the Doppler effect.&nbsp;The Vectrino measures velocity in three dimensions (x,y,z) and has a duplicate sensor measuring the vertical z direction twice (z1 and z2). This is important as the vertical velocity component of turbulent flows is a key contributor to the mixing processes that occur, along with the exchange of energy, nutrients and particulates. The measurement volume has a height of 0.4 cm and diameter of 0.6 cm and is located 5 cm below the Vectrino’s transducer. A sampling frequency of 25 Hz was used with a nominal velocity range of +/- 0.3.&nbsp;Velocity measurements were taken for at least 3 minutes and were visually inspected for large fluctuations that may have been due to insufficient particles in the flume. Due to this, and the issue that the Vectrino needs the particles that mussel beds filter out, the flume was seeded with a mixture of water and fine clay to improve stability and accuracy of measurements if needed. Measurements were taken at a minimum of 11 different heights at a certain location in the aggregation. Setup included attaching the Vectrino to a metal stand using a ring clamp. The stand was marked every 0.5 cm for easy and consistent instrument movement during profiling. To measure interstitial gradients, a small hole was created in the mussel aggregation by removing a couple of mussels so that measurements could be taken in the bottom of the bed without interference from the mussels themselves. While this isn’t ideal, the hole was made as small as possible, and O’Donnell (2008) suggests that holes within the bed smaller than 5 cm do not significantly impact flow.&nbsp;&nbsp;</p>
<p>&nbsp;</p>
Specified by the Principal Investigator(s)
<p>Raw data from the Vectrino is uploaded to Matlab and a function called vectrino_mussel.m is used to compute statistics such as mean/fluctuating velocities and Reynolds stresses over 10-minute averages. Reynolds stress is defined as u-prime, w-prime&nbsp;(u'w') bar or the average of the product between the instantaneous horizontal (u') and vertical (w') velocity fluctuations. The velocity data are then spectrally decomposed following the methodology of Bricker &amp; Monismith (2007). This technique uses Fourier Transformation to separate out turbulent fluctuations that arise from wave motions. A best fit line is set to the inertial subrange and the slope is calculated, along with how close the best fit line is to a -5/3 slope, the slope value found in a fully developed inertial subrange. The decomposed values of u', v', and w' are then used to calculate turbulent statistics such as turbulent kinetic energy and dissipation rate.</p>
<p>(<em>See Supplemental Files section for Matlab script</em>)</p>
Specified by the Principal Investigator(s)
- Imported data from source files: VP_Q_.txt, VP_H_.txt, VP_H_.txt, VP_OH_.txt, VP2_Q_.txt, VP2_H_.txt, VP2_H_.txt, VP2_OH_.txt, VP3_Q_.txt, VP3_H_.txt, VP3_H_.txt, VP3_OH_.txt
- Concatenated text files into a single CSV file
- Added new columns for Trial, Day, Date, Flume speed (descriptors and values)
- Rounded values to 3 decimal places (5 for smaller numbers)
Specified by BCO-DMO Data Managers
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 Vectrino
Nortek Vectrino
PI Supplied Instrument Name: Nortek Vectrino PI Supplied Instrument Description:A Nortek Vectrino is used to take velocity and turbulence measurements Instrument Name: Acoustic Doppler Velocimeter Instrument Short Name:ADV Instrument Description: ADV is the acronym for acoustic doppler velocimeter. The ADV is a remote-sensing, three-dimensional velocity sensor. Its operation is based on the Doppler shift effect. The sensor can be deployed either as a moored instrument or attached to a still structure near the seabed.
Reference:
G. Voulgaris and J. H. Trowbridge, 1998. Evaluation of the Acoustic Doppler Velocimeter (ADV) for Turbulence Measurements. J. Atmos. Oceanic Technol., 15, 272–289. doi: http://dx.doi.org/10.1175/1520-0426(1998)0152.0.CO;2 Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/384/
FireSting-PRO fiber optic meter
FireSting-PRO fiber optic meter
PI Supplied Instrument Name: FireSting-PRO fiber optic meter PI Supplied Instrument Description:The three sensors were connected to a Firesting-PRO 2-channel, a compact USB-powered fiber-optic meter which was further connected to a laptop for data collection. Instrument Name: FireSting-PRO Optical Multi-Analyte Meter Instrument Short Name:FireSting-Pro fiber optic meter Instrument Description: The FireSting-PRO is a PC-controlled (USB) fiber-optic multi-analyte meter for optical oxygen, pH, and temperature sensors from Pyroscience.
Each optical channel of the FSPRO device is freely configurable for these analytes (pH, oxygen, temperature) and multiple sensor types, giving maximum flexibility for individual experimental design. The compatible sensor heads range from microsensors (50 µm tip) to robust probes (3 mm tip), and include diverse smart contactless sensor solutions (for measurements in closed systems / respirometry, microfluidics and complex geometries, microphysiological systems, single-use applications), as well as sensors for different ranges (full and trace range O2, discrete pH ranges within pH 4-9). The available optical temperature sensors enable precision temperature compensation of especially contactless optical pH and oxygen sensors (sensor spots, sensor vials, flow cells) of the same format.
recirculating seawater flume
recirculating seawater flume
PI Supplied Instrument Name: recirculating seawater flume PI Supplied Instrument Description:Velocity profiles were taken over an experimental mussel aggregation in a recirculating seawater flume at Friday Harbor Laboratories Instrument Name: high-speed flume Instrument Short Name:lab flume Instrument Description: A high-speed flume is a controlled laboratory apparatus designed to generate and sustain unidirectional water flow at adjustable velocities. It replicates aspects of open-channel flow environments at experimental scale for the purpose of studying fluid dynamics, sediment transport, aquatic organism behavior, turbulence, and hydraulic engineering under reproducible conditions.
Onset HOBO pH/Temperature (MX2501) data logger
Onset HOBO pH/Temperature (MX2501) data logger
PI Supplied Instrument Name: Onset HOBO pH/Temperature (MX2501) data logger PI Supplied Instrument Description:An Onset HOBO ph/Temperature (MX2501) data logger was used to measure ambient water chemistry in the experimental flume during the trials. Instrument Name: Onset HOBO pH and Temperature data logger MX2501 Instrument Short Name:HOBO MX2501 Instrument Description: The HOBO MX2501 pH and Temperature Data Logger is designed for long-term monitoring of pH in estuaries, lakes, streams, rivers, and oceans. Leveraging Bluetooth Low Energy® (BLE) technology, the MX2501 pH Logger communicates wirelessly with the free HOBOconnect app and your mobile device or Windows computer, making logger setup, calibration, and data offload quick and easy. A guided pH calibration process on the HOBOconnect app makes an otherwise complicated process easier to follow. This affordable and compact logger dramatically cuts the time and effort needed to collect field data, while also offering higher resolution data. (NOTE: pH electrodes should always be stored in storage solution when not deployed).
Onset HOBO Conductivity (U24-002-C) logger
Onset HOBO Conductivity (U24-002-C) logger
PI Supplied Instrument Name: Onset HOBO Conductivity (U24-002-C) logger PI Supplied Instrument Description:An Onset HOBO Conductivity (U24-002-C) logger was used to measure ambient water chemistry in the experimental flume during the trials. Instrument Name: Onset HOBO Saltwater Conductivity/Salinity data logger U24-002-C Instrument Short Name:Onset HOBO U24-002-C conductivity logger Instrument Description: HOBO Salt Water Conductivity/Salinity Data Logger is a cost-effective data logger for measuring cost-effective data logger for measuring salinity, conductivity, and temperature in saltwater environments with relatively small changes in salinity (±5,000 μS/cm) such as saltwater bays, or to detect salinity events such as upwelling, rainstorm, and discharge events.
Onset HOBO dissolved oxygen (U26-001) logger
Onset HOBO dissolved oxygen (U26-001) logger
PI Supplied Instrument Name: Onset HOBO dissolved oxygen (U26-001) logger PI Supplied Instrument Description:A HOBO dissolved oxygen (U26-001) logger was used to measure ambient water chemistry in the experimental flume during the trials. Instrument Name: Onset HOBO U26-001 Dissolved Oxygen Data Logger Instrument Short Name:HOBO DO logger (U26-001) Instrument Description: A dissolved oxygen sensor, temperature sensor, and integrated data logger. The HOBO U26-001 can be used in freshwater and saltwater conditions, and outputs dissolved oxygen (mg/L) and temperature (degC) measurements.
Pyroscience TSUB21 temperature sensor
Pyroscience TSUB21 temperature sensor
PI Supplied Instrument Name: Pyroscience TSUB21 temperature sensor PI Supplied Instrument Description:A Pyroscience temperature sensor (TSUB21) was used in tandem with an oxygen micro-sensor and a pH sensor to quantify water chemistry within the interstitial spaces of a mussel bed. Instrument Name: Pyroscience Pt100 Temperature Probe TSUB21 Instrument Short Name:Pyroscience TSUB21 temperature sensor Instrument Description: The PyroScience TSUB21 sensor is a flexible, Teflon-coated temperature probe that utilizes a Pt100 resistance temperature detector (RTD) element. It can automatically compensate for temperature variations in measurements of other sensors like oxygen and pH sensors.
Pyroscience OXROB10-CL4 micro-oxygen sensor
Pyroscience OXROB10-CL4 micro-oxygen sensor
PI Supplied Instrument Name: Pyroscience OXROB10-CL4 micro-oxygen sensor PI Supplied Instrument Description:A micro-oxygen sensor (OXROB10-CL4) was used in tandem with a pH and temperature sensor to quantify water chemistry within the interstitial spaces of a mussel bed. Instrument Name: Pyroscience Robust Oxygen Probe OXROB10-CL4 Instrument Short Name:Pyroscience oxygen micro-sensor (OXROB10-CL4) Instrument Description: This robust oxygen probe is based on optical detection principles (proven REDFLASH technology) and can be used for precise bulk measurements in gas samples (O2 gas), liquids (dissolved oxygen, DO) and in respirometry. The fiber-optic oxygen sensors from PyroScience feature no oxygen consumption, no stirring sensitivity, an extremely long shelf time, resistance to corrosive environments (e.g. seawater) and are suitable for multiple applications in gas, water and aqueous samples.
Pyroscience pH micro-sensor probe PHROBSC-PK8T
Pyroscience pH micro-sensor probe PHROBSC-PK8T
PI Supplied Instrument Name: Pyroscience pH micro-sensor probe PHROBSC-PK8T PI Supplied Instrument Description:A pH sensor (PHROBSC-PK8T) was used in tandem with a micro-oxygen and temperature sensor to quantify water chemistry within the interstitial spaces of a mussel bed. Instrument Name: Pyroscience Robust pH Screw Cap Probe PHROBSC-PK8T Instrument Short Name:Pyroscience pH micro-sensor PHROBSC-PK8T Instrument Description: Pyroscience pH micro-sensor probe PHROBSC-PK8T is a robust screw cap pH probe that is fiber-based alternative to traditional pH electrodes. This new sensor format is composed of a robust cap adapter fiber with stainless-steel tip (10cm length, 4mm) and a disposable plastic screw cap with integrated pH sensor. The pH sensor cap can be screwed on the threaded tip of the robust fiber. If worn out, keep the fiber and simply exchange the pH sensor cap and continue with your pH measurements.