http://lod.bco-dmo.org/id/dataset/737667
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
2018-05-25
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Continuous CO2 data from a Lake Michigan transect between Milwaukee, Wisconsin and Muskegon, Michigan collected during 2017, 2018, 2019, and 2021
2023-12-20
publication
2023-12-20
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-03-15
publication
https://doi.org/10.1575/1912/bco-dmo.737667.1
Harvey Bootsma
University of Wisconsin
principalInvestigator
Qian Liao
University of Wisconsin
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: Bootsma, H., Liao, Q. (2024) Continuous CO2 data from a Lake Michigan transect between Milwaukee, Wisconsin and Muskegon, Michigan collected during 2017, 2018, 2019, and 2021. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 3) Version Date 2023-12-20 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.737667.3 [access date]
CO2 Dataset Description: <p>Continuous CO2 data from from a Lake Michigan collected during 2017-2019 and in 2021. No samples were collected in 2020, due to COVID-19 restrictions. The sampling system is mounted in the engine room of the Lake Express high-speed ferry, where it draws water from a sea chest that has a residence time of several seconds.</p> Methods and Sampling: <p><strong>Continuous CO₂:</strong> The components of the continuous CO2 monitoring system include a peristaltic pump that forces water through an air-water equilibrator (Membrana mini-module membrane contactor). Reverse-flow air from the equilibrator is pumped through desiccant, after which it flows through an infrared gas analyzer (Li-Cor Li-820) which measures the partial pressure of CO2 normalized to 1 atmosphere. The system also includes a temperature sensor and a WETLabs flow-through fluorometer. The system is controlled by a Campbell CR1000 Controller / Datalogger. Input from a GPS on the ship's upper deck allows all data to be geo-referenced. The system is mounted in the engine room of the Lake Express high-speed ferry, where it draws water from a sea chest that has a residence time of several seconds. Additional details are provided in Zagorski and Bootsma (2006).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1658390 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1658390
Funding provided by Great Lakes Observing System (GLOS) Award Number: NA16NOS0120025
completed
Harvey Bootsma
University of Wisconsin
414-251-9231
School of Freshwater Sciences 600 E. Greenfield Ave.
Milwaukee
WI
53204
USA
hbootsma@uwm.edu
pointOfContact
Qian Liao
University of Wisconsin
414-229-4228
Department of Civil and Environmental Engineering P.O. Box 413
Milwaukee
WI
53201
USA
liao@uwm.edu
pointOfContact
asNeeded
Dataset Version: 3
Unknown
ISO_DateTime_UTC
Year
Lat
Long
Speed
P_kPa
AtmP
WaterCO2
AirCO2
Li-Cor Li-820
WETLabs flow-through fluorometer
theme
None, User defined
ISO_DateTime_UTC
year
latitude
longitude
Speed over ground
water pressure
barometric pressure
Partial pressure of CO2
No BCO-DMO term
featureType
BCO-DMO Standard Parameters
CO2 Analyzer
Fluorometer
instrument
BCO-DMO Standard Instruments
Lake_Michigan_ferry_2017-2021
service
Deployment Activity
Lake Michigan
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.
Collaborative Research: Regulation of plankton and nutrient dynamics by hydrodynamics and profundal filter feeders
https://osprey.bco-dmo.org/project/670679
Collaborative Research: Regulation of plankton and nutrient dynamics by hydrodynamics and profundal filter feeders
<p><em>Overview:</em><br />
While benthic filter feeders are known to influence plankton and nutrient dynamics in shallow marine and freshwater systems, their role is generally considered to be minor in large, deep systems. However, recent evidence indicates that profundal quagga mussels (Dreissena rostriformis bugensis) have dramatically altered energy flow and nutrient cycling in the Laurentian Great Lakes and other larges aquatic systems, so that conventional nutrient-plankton paradigms no longer apply. Observed rates of phosphorus grazing by profundal quagga mussels in Lake Michigan exceed the passive settling rates by nearly an order of magnitude, even under stably stratified conditions. We hypothesize that the apparently enhanced particle deliver rate to the lake bottom results from high filtration capacity combined with vertical mixing processes that advect phytoplankton from the euphotic zone to the near-bottom layer. However, the role of hydrodynamics is unclear, because these processes are poorly characterized both within the hypolimnion as a whole and within the near-bottom layer. In addition, the implications for phytoplankton and nutrient dynamics are unclear, as mussels are also important nutrient recyclers. In the proposed interdisciplinary research project, state-of-the-art instruments and analytical tools will be deployed in Lake Michigan to quantify these critical dynamic processes, including boundary layer turbulence, mussel grazing, excretion and egestion, and benthic fluxes of carbon and phosphorus. Empirical data will be used to calibrate a 3D hydrodynamic-biogeochemical model to test our hypotheses.</p>
<p><em>Intellectual Merit:</em><br />
This collaborative biophysical project is structured around two primary questions: 1) What role do profundal dreissenid mussels play in large lake carbon and nutrient cycles? 2) How are mussel grazing and the fate of nutrients recycled by mussels modulated by hydrodynamics at scales ranging from mm (benthic boundary layer) to meters (entire water column)? The project will improve the ability to model nutrient and carbon dynamics in coastal and lacustrine waters where benthic filter-feeders are a significant portion of the biota. By so doing, it will address the overarching question of how plankton and nutrient dynamics in large, deep lakes with abundant profundal filter feeders differ from the conventional paradigm described by previous models. Additionally, the project will quantify and characterize boundary layer turbulence for benthic boundary layers in large, deep lakes, including near-bed turbulence produced by benthic filter feeders.</p>
<p><em>Broader Impacts:</em><br />
The project will provide new insight into the impacts of invasive dreissenid mussels, which are now threatening many large lakes and reservoirs across the United States. Dreissenid mussels appear to be responsible for a number of major changes that have occurred in the Great Lakes, including declines of pelagic plankton populations, declines in fish populations, and, ironically, nuisance algal blooms in the nearshore zone. As a result, conventional management models no longer apply, and managers are uncertain about appropriate nutrient loading targets and fish stocking levels. The data and models resulting from this project will help to guide those decisions. Additionally, the project will provide insight to bottom boundary layer physics, with applicability to other large lakes, atidal coastal seas, and the deep ocean. The project will leverage the collaboration and promote interdisciplinary education for undergraduate and graduate students from two universities (UW-Milwaukee and Purdue). The project will support 3 Ph.D. students and provide structured research experiences to undergraduates through a summer research program. The project will also promote education of future aquatic scientists by hosting a Biophysical Coupling Workshop for graduate students who participate in the annual IAGLR conferences, and the workshop lectures will be published for general access through ASLO e-Lectures and on an open-access project website.</p>
<p><em>Background publications are available at:</em><br />
<a href="http://onlinelibrary.wiley.com/doi/10.1002/2014JC010506/full" target="_blank">http://onlinelibrary.wiley.com/doi/10.1002/2014JC010506/full</a><br />
<a href="http://link.springer.com/article/10.1007/s00348-012-1265-9" target="_blank">http://link.springer.com/article/10.1007/s00348-012-1265-9</a><br />
<a href="http://aslo.net/lomethods/free/2009/0169.pdf" target="_blank">http://aslo.net/lomethods/free/2009/0169.pdf</a><br />
<a href="http://www.sciencedirect.com/science/article/pii/S0380133015001458" target="_blank">http://www.sciencedirect.com/science/article/pii/S0380133015001458</a></p>
<p><em>Note: </em>This is an NSF Collaborative Research Project.</p>
Filter Feeders Physics and Phosphorus
largerWorkCitation
project
eng; USA
oceans
Lake Michigan
-87.92825
-86.2939
42.81355
43.39868
2017-04-28
2021-10-28
Lake Michigan
0
BCO-DMO catalogue of parameters from Continuous CO2 data from a Lake Michigan transect between Milwaukee, Wisconsin and Muskegon, Michigan collected during 2017, 2018, 2019, and 2021
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/737679.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: <p>UTC date and time formatted to ISO 8601 standard. Local time + 5 hours between March 12, 2:00 a.m. and November 5, 2:00 a.m. Local time + 6 hours between November 5, 2:00 a.m. and March 12, 2:00 a.m. </p>
http://lod.bco-dmo.org/id/dataset-parameter/737680.rdf
Name: Year
Units: unitless
Description: <p>Year</p>
http://lod.bco-dmo.org/id/dataset-parameter/737681.rdf
Name: Lat
Units: Decimal degrees
Description: <p>Latitude. Locations south of equator are negative. Resolution = 0.00001; accuracy = 0.00017.</p>
http://lod.bco-dmo.org/id/dataset-parameter/737682.rdf
Name: Long
Units: Decimal degrees
Description: <p>Longitude. Locations west of prime meridian are negative. Resolution = 0.00001; accuracy = 0.00024.</p>
http://lod.bco-dmo.org/id/dataset-parameter/737683.rdf
Name: Speed
Units: Knots (multiply X 0.5144 for meters per second)
Description: <p>Speed of ferry on which CO2 system is installed; resolution = 0.1; accuracy = 0.5</p>
http://lod.bco-dmo.org/id/dataset-parameter/737684.rdf
Name: P_kPa
Units: kPa
Description: <p>Pressure in Li-Cor infrared gas analyzer; resolution = 01; accuracy = 0.5</p>
http://lod.bco-dmo.org/id/dataset-parameter/737685.rdf
Name: AtmP
Units: kPa
Description: <p>Ambient atmospheric pressure; resolution = 01; accuracy = 0.5</p>
http://lod.bco-dmo.org/id/dataset-parameter/737686.rdf
Name: WaterCO2
Units: micro atmospheres (uatm)
Description: <p>Partial pressure of carbon dioxide (pCO2) in the water body as measured with an infrared gas analyzer in a gas stream that has been equilibrated with the water; resolution = 0.1; accuracy = ±3%; detection limit = 0.5.</p>
http://lod.bco-dmo.org/id/dataset-parameter/737687.rdf
Name: AirCO2
Units: micro atmospheres (uatm)
Description: <p>Partial pressure of carbon dioxide in air; resolution = 0.1; accuracy = ±3%; detection limit = 1</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
16836905
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/9c4562bd-7e85-479b-8a31-9acdf5294ae2/content
download
10634019
https://darchive.mblwhoilibrary.org/bitstream/1912/27002/1/dataset-737667_co2__v2.tsv
download
6862493
https://darchive.mblwhoilibrary.org/bitstream/1912/23835/1/dataset-737667_co2__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.737667.1
download
onLine
dataset
<p><strong>Continuous CO₂:</strong> The components of the continuous CO2 monitoring system include a peristaltic pump that forces water through an air-water equilibrator (Membrana mini-module membrane contactor). Reverse-flow air from the equilibrator is pumped through desiccant, after which it flows through an infrared gas analyzer (Li-Cor Li-820) which measures the partial pressure of CO2 normalized to 1 atmosphere. The system also includes a temperature sensor and a WETLabs flow-through fluorometer. The system is controlled by a Campbell CR1000 Controller / Datalogger. Input from a GPS on the ship's upper deck allows all data to be geo-referenced. The system is mounted in the engine room of the Lake Express high-speed ferry, where it draws water from a sea chest that has a residence time of several seconds. Additional details are provided in Zagorski and Bootsma (2006).</p>
Specified by the Principal Investigator(s)
Versions 1 and 2:
- modified parameter names to conform with BCO-DMO naming conventions;
- re-formatted date to ISO format;
- replaced missing data with nd ("no data");
- updated to version 2 on 21-May-2019.
Version 3:
- converted date/time field to ISO 8601 format;
- modified parameter names to conform with BCO-DMO naming conventions;
- removed 'nd' and 'NA' as missing data identifiers (missing data are empty/blank in the final CSV file);
- updated to version 3 on 2023-12-20 and saved the final file as "737667_v3_lake_michigan_co2.csv".
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
Li-Cor Li-820
Li-Cor Li-820
PI Supplied Instrument Name: Li-Cor Li-820 Instrument Name: CO2 Analyzer Instrument Short Name:CO2 Analyzer Instrument Description: Measures atmospheric carbon dioxide (CO2) concentration. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/382/
WETLabs flow-through fluorometer
WETLabs flow-through fluorometer
PI Supplied Instrument Name: WETLabs flow-through fluorometer Instrument Name: Fluorometer Instrument Short Name:Fluorometer Instrument Description: A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/113/
Cruise: Lake_Michigan_ferry_2017-2021
Lake_Michigan_ferry_2017-2021
Lake Express
vessel
Lake Express
vessel