http://lod.bco-dmo.org/id/dataset/734541
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
2018-04-26
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Temperature mooring data collected at Station AT55 in Lake Michigan from August 1, 2017 to April 20, 2018.
2019-05-16
publication
2019-05-16
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-05-20
publication
https://doi.org/10.1575/1912/bco-dmo.734541.2
Cary Troy
Purdue University
principalInvestigator
Harvey Bootsma
University of Wisconsin
principalInvestigator
David Cannon
Purdue University
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: Troy, C., Bootsma, H., Cannon, D., Liao, Q. (2019) Temperature mooring data collected at Station AT55 in Lake Michigan from August 1, 2017 to April 20, 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2) Version Date 2019-05-16 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.734541.2 [access date]
Temperature mooring data collected at Station AT55 in Lake Michigan from August 1, 2017 to April 20, 2018 at a 55 meters depth site. Dataset Description: <p>A fixed mooring was established to measure water column temperatures in Lake Michigan near Milwaukee, WI, from Aug 1 – Aug 17, 2017 at a 55 meters depth site and again during 2018 from April 5 – April 20, 2018.&nbsp;The mooring involved a large tripod to which a surface line was attached&nbsp;and along this line were temperature sensors at various depths.&nbsp;Depths may vary slightly due to unmeasured chain drift.<br />
<br />
All temperature data collected during 2017 were&nbsp;smoothed using a 2s moving average before being interpolated onto a 2s sampling interval.&nbsp;All missing data is represented by NaN.</p>
<p>All temperature data collected during 2018 were&nbsp;smoothed using a 1s moving average before being interpolated onto a 1s sampling interval. Individual thermistor accuracies, ranges, and resolutions are included in the attached file</p>
<p>Instrument Manufacturers: Sea-bird Scientific (SBE56); RBR (RBR TDR- 2050, RBR TR-1060); Onset (HOBO)</p>
<p>On&nbsp;2019-04-08 an update was received for this dataset. This update contained an extension of the data for 2018.</p> Methods and Sampling:
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
completed
Cary Troy
Purdue University
765-494-3844
Lyles School of Civil Engineering
West Lafayette
IN
47907
USA
troy@purdue.edu
pointOfContact
Harvey Bootsma
University of Wisconsin
414-251-9231
School of Freshwater Sciences 600 E. Greenfield Ave.
Milwaukee
WI
53204
USA
hbootsma@uwm.edu
pointOfContact
David Cannon
Purdue University
2195102668
550 Stadium Mall Drive
West Lafayette
IN
47907
cannond@purdue.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: 2
Unknown
temp
ISO_DateTime_UTC
HAB_cm
HAB_m
lat
lon
RBR TDR- 2050, RBR TR-1060)
Onset (HOBO)
Sea-bird Scientific (SBE56)
theme
None, User defined
water temperature at measurement depth
ISO_DateTime_UTC
altitude
latitude
longitude
featureType
BCO-DMO Standard Parameters
Data Logger
Data Logger
Temperature Logger
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: 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
-87.7713
-87.753217
43.069917
43.095
2017-08-01
2018-04-20
Lake Michigan
0
BCO-DMO catalogue of parameters from Temperature mooring data collected at Station AT55 in Lake Michigan from August 1, 2017 to April 20, 2018.
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/768253.rdf
Name: temp
Units: degrees Celsius
Description: <p>average temperatures measured at various heights above the bed</p>
http://lod.bco-dmo.org/id/dataset-parameter/768254.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: <p>Date and Time formatted according to ISO 8601 date/time convention</p>
http://lod.bco-dmo.org/id/dataset-parameter/768255.rdf
Name: HAB_cm
Units: centimeters (cm)
Description: <p>Height above bottom</p>
http://lod.bco-dmo.org/id/dataset-parameter/768256.rdf
Name: HAB_m
Units: meters (m)
Description: <p>Height above bottom</p>
http://lod.bco-dmo.org/id/dataset-parameter/768257.rdf
Name: lat
Units: decimal degrees
Description: <p>latitude with positive values northward</p>
http://lod.bco-dmo.org/id/dataset-parameter/768258.rdf
Name: lon
Units: decimal degrees
Description: <p>longitude with negative values westward</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
2331570608
https://darchive.mblwhoilibrary.org/bitstream/1912/24153/1/dataset-734541_station-at55-temperature-mooring-data__v2.tsv
download
https://doi.org/10.1575/1912/bco-dmo.734541.2
download
onLine
dataset
<p>BCO-DMO Processing Notes:<br />
&nbsp;-&nbsp;added conventional header with dataset name, PI name, version date<br />
&nbsp;- modified parameter names to conform with BCO-DMO naming convention<br />
&nbsp;- combined YEAR, MONTH, DAY, HOUR, MINUTE, SECOND columns into one ISO_DateTime_UTC column.<br />
&nbsp;- removed columns&nbsp;YEAR, MONTH, DAY, HOUR, MINUTE, and SECOND<br />
&nbsp;- added lat,&nbsp;and lon columns.<br />
&nbsp;- extracted height above bottom from column headings in submitted data file.<br />
&nbsp;- reorganized the data file to have one column for depth and one column for temperature<br />
&nbsp;- sorted data by depth, then ISO_DateTime_UTC.</p>
<p>&nbsp;</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
RBR TDR- 2050, RBR TR-1060)
RBR TDR- 2050, RBR TR-1060)
PI Supplied Instrument Name: RBR TDR- 2050, RBR TR-1060) Instrument Name: Data Logger Instrument Short Name: Instrument Description: Electronic devices that record data over time or in relation to location either with a built-in instrument or sensor or via external instruments and sensors.
Onset (HOBO)
Onset (HOBO)
PI Supplied Instrument Name: Onset (HOBO) Instrument Name: Data Logger Instrument Short Name: Instrument Description: Electronic devices that record data over time or in relation to location either with a built-in instrument or sensor or via external instruments and sensors.
Sea-bird Scientific (SBE56)
Sea-bird Scientific (SBE56)
PI Supplied Instrument Name: Sea-bird Scientific (SBE56) Instrument Name: Temperature Logger Instrument Short Name: Instrument Description: Records temperature data over a period of time.