ERDDAP > info > bcodmo_dataset_768011

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Acces- sible	Title	Sum- mary	FGDC, ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
	set	data	graph		files	public	[MCTD Lake Michigan 2017, 2018 & 2019] - Microstructure profiles at Station AT55 in Lake Michigan from 2017, 2018 and 2019. (Collaborative Research: Regulation of plankton and nutrient dynamics by hydrodynamics and profundal filter feeders)		F   I   M	background			BCO-DMO	bcodmo_dataset_768011

The Dataset's Variables and Attributes

Row Type	Variable Name	Attribute Name	Data Type	Value
attribute	NC_GLOBAL	access_formats	String	.htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt
attribute	NC_GLOBAL	acquisition_description	String	129 microstructure profiles were collected over three days (April 5th, 12th, and 20th). Measurements were collected using an RSI MicroCTD (Rockland Scientific International, Inc.) which sampled shear and temperature microstructure at 512Hz, free-falling at a velocity of 0.8 m/s (vertical resolution: ~1.5mm). Shear microstructure was analyzed to obtain turbulent kinetic energy dissipation (see data processing). Velocity shear was measured using two velocity shear probes (RSI; accuracy: 5%) oriented perpendicularly to collect orthogonal shear components. Microstructure temperatures were collected using 2 FP07 probes (accuracy: 0.005 ), with the resulting measurements averaged to produce the single temperature estimate included in the attached files. Turbidity (accuracy: 2%) and fluorescence (accuracy: 1%) measurements were collected using a JAC-CLTU sensor (JFE Advantech Co., Ltd).\u00a0\u00a0 Microstructure profiles were collected manually by letting the instrument free fall through the water column. Profiles were timed and manually stopped to prevent the instrument from crashing into the bed and damaging sensors
attribute	NC_GLOBAL	awards_0_award_nid	String	670677
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1658390
attribute	NC_GLOBAL	awards_0_funder_name	String	NSF Division of Ocean Sciences
attribute	NC_GLOBAL	awards_0_funding_acronym	String	NSF OCE
attribute	NC_GLOBAL	awards_0_funding_source_nid	String	355
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	Lake Michigan Microstructure Data, Station AT55, April 2018 PI: Cary Troy Version: 2019-05-15
attribute	NC_GLOBAL	Conventions	String	COARDS, CF-1.6, ACDD-1.3
attribute	NC_GLOBAL	creator_email	String	info at bco-dmo.org
attribute	NC_GLOBAL	creator_name	String	BCO-DMO
attribute	NC_GLOBAL	creator_type	String	institution
attribute	NC_GLOBAL	creator_url	String	https://www.bco-dmo.org/
attribute	NC_GLOBAL	data_source	String	extract_data_as_tsv version 2.3 19 Dec 2019
attribute	NC_GLOBAL	date_created	String	2019-05-15T15:02:41Z
attribute	NC_GLOBAL	date_modified	String	2019-05-20T16:54:49Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.768011.1
attribute	NC_GLOBAL	Easternmost_Easting	double	-87.753217
attribute	NC_GLOBAL	geospatial_lat_max	double	43.069917
attribute	NC_GLOBAL	geospatial_lat_min	double	43.069917
attribute	NC_GLOBAL	geospatial_lat_units	String	degrees_north
attribute	NC_GLOBAL	geospatial_lon_max	double	-87.753217
attribute	NC_GLOBAL	geospatial_lon_min	double	-87.753217
attribute	NC_GLOBAL	geospatial_lon_units	String	degrees_east
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/768011
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	CTD
attribute	NC_GLOBAL	instruments_0_dataset_instrument_description	String	Measurements were collected using an RSI MicroCTD (Rockland Scientific International, Inc.) which sampled shear and temperature microstructure at 512Hz, free-falling at a velocity of 0.8 m/s (vertical resolution: ~1.5mm).
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	768014
attribute	NC_GLOBAL	instruments_0_description	String	The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column. The instrument is lowered via cable through the water column and permits scientists observe the physical properties in real time via a conducting cable connecting the CTD to a deck unit and computer on the ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or radiometers. It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast. This instrument designation is used when specific make and model are not known.
attribute	NC_GLOBAL	instruments_0_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/130/
attribute	NC_GLOBAL	instruments_0_instrument_name	String	CTD profiler
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	417
attribute	NC_GLOBAL	instruments_0_supplied_name	String	RSI MicroCTD (Rockland Scientific International, Inc.)
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, chemical, chlor, chlorophyll, data, dataset, date, dissipation, dmo, doy, DOY_GMT, erddap, iso, latitude, longitude, management, name, oceanography, office, preliminary, pressure, profile, profile_name, temperature, time, turb
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/768011/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/768011
attribute	NC_GLOBAL	Northernmost_Northing	double	43.069917
attribute	NC_GLOBAL	param_mapping	String	{'768011': {'latitude': 'flag - latitude', 'longitude': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time'}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/768011/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	Purdue University
attribute	NC_GLOBAL	people_0_person_name	String	Cary Troy
attribute	NC_GLOBAL	people_0_person_nid	String	670685
attribute	NC_GLOBAL	people_0_role	String	Principal Investigator
attribute	NC_GLOBAL	people_0_role_type	String	originator
attribute	NC_GLOBAL	people_1_affiliation	String	University of Wisconsin
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	UW-Milwaukee
attribute	NC_GLOBAL	people_1_person_name	String	Harvey Bootsma
attribute	NC_GLOBAL	people_1_person_nid	String	670682
attribute	NC_GLOBAL	people_1_role	String	Co-Principal Investigator
attribute	NC_GLOBAL	people_1_role_type	String	originator
attribute	NC_GLOBAL	people_2_affiliation	String	Purdue University
attribute	NC_GLOBAL	people_2_person_name	String	David Cannon
attribute	NC_GLOBAL	people_2_person_nid	String	767967
attribute	NC_GLOBAL	people_2_role	String	Co-Principal Investigator
attribute	NC_GLOBAL	people_2_role_type	String	originator
attribute	NC_GLOBAL	people_3_affiliation	String	University of Wisconsin
attribute	NC_GLOBAL	people_3_affiliation_acronym	String	UW-Milwaukee
attribute	NC_GLOBAL	people_3_person_name	String	Qian Liao
attribute	NC_GLOBAL	people_3_person_nid	String	670687
attribute	NC_GLOBAL	people_3_role	String	Co-Principal Investigator
attribute	NC_GLOBAL	people_3_role_type	String	originator
attribute	NC_GLOBAL	people_4_affiliation	String	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_4_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_4_person_name	String	Mathew Biddle
attribute	NC_GLOBAL	people_4_person_nid	String	708682
attribute	NC_GLOBAL	people_4_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_4_role_type	String	related
attribute	NC_GLOBAL	project	String	Filter Feeders Physics and Phosphorus
attribute	NC_GLOBAL	projects_0_acronym	String	Filter Feeders Physics and Phosphorus
attribute	NC_GLOBAL	projects_0_description	String	Overview: 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. Intellectual Merit: 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. Broader Impacts: 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. Background publications are available at:https://onlinelibrary.wiley.com/doi/10.1002/2014JC010506/fullhttp://link.springer.com/article/10.1007/s00348-012-1265-9http://aslo.net/lomethods/free/2009/0169.pdfhttp://www.sciencedirect.com/science/article/pii/S0380133015001458 Note: This is an NSF Collaborative Research Project.
attribute	NC_GLOBAL	projects_0_geolocation	String	Lake Michigan
attribute	NC_GLOBAL	projects_0_name	String	Collaborative Research: Regulation of plankton and nutrient dynamics by hydrodynamics and profundal filter feeders
attribute	NC_GLOBAL	projects_0_project_nid	String	670679
attribute	NC_GLOBAL	publisher_name	String	Biological and Chemical Oceanographic Data Management Office (BCO-DMO)
attribute	NC_GLOBAL	publisher_type	String	institution
attribute	NC_GLOBAL	sourceUrl	String	(local files)
attribute	NC_GLOBAL	Southernmost_Northing	double	43.069917
attribute	NC_GLOBAL	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	subsetVariables	String	latitude,longitude
attribute	NC_GLOBAL	summary	String	Turbulent microstructure profiles were collected near Milwaukee, WI, during 2018 between April 5 \u2013 April 20, 2018 at a 55m depth site. Microstructure measurements were collected using an RSI MicroCTD (Rockland Scientific International, Inc.), which measures velocity shear, temperature, turbidity, and chlorophyll concentrations. High resolution velocity shear (512 Hz) measurements were used to estimate turbulent kinetic energy dissipation throughout the water column. Microstructure profiles were collected during fair weather conditions on April 5th, 12th, and 20th.
attribute	NC_GLOBAL	time_coverage_end	String	2018-04-20T18:06:53Z
attribute	NC_GLOBAL	time_coverage_start	String	2018-04-05T18:10:10Z
attribute	NC_GLOBAL	title	String	[MCTD Lake Michigan 2017, 2018 & 2019] - Microstructure profiles at Station AT55 in Lake Michigan from 2017, 2018 and 2019. (Collaborative Research: Regulation of plankton and nutrient dynamics by hydrodynamics and profundal filter feeders)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	Westernmost_Easting	double	-87.753217
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	profile_name		String
attribute	profile_name	bcodmo_name	String	cast
attribute	profile_name	description	String	profile name extracted from submitted file name
attribute	profile_name	long_name	String	Profile Name
attribute	profile_name	units	String	unitless
variable	latitude		double
attribute	latitude	_CoordinateAxisType	String	Lat
attribute	latitude	_FillValue	double	NaN
attribute	latitude	actual_range	double	43.069917, 43.069917
attribute	latitude	axis	String	Y
attribute	latitude	bcodmo_name	String	latitude
attribute	latitude	colorBarMaximum	double	90.0
attribute	latitude	colorBarMinimum	double	-90.0
attribute	latitude	description	String	latitude with positive values northward
attribute	latitude	ioos_category	String	Location
attribute	latitude	long_name	String	Latitude
attribute	latitude	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P09/current/LATX/
attribute	latitude	standard_name	String	latitude
attribute	latitude	units	String	degrees_north
variable	longitude		double
attribute	longitude	_CoordinateAxisType	String	Lon
attribute	longitude	_FillValue	double	NaN
attribute	longitude	actual_range	double	-87.753217, -87.753217
attribute	longitude	axis	String	X
attribute	longitude	bcodmo_name	String	longitude
attribute	longitude	colorBarMaximum	double	180.0
attribute	longitude	colorBarMinimum	double	-180.0
attribute	longitude	description	String	longituide with positive values eastward
attribute	longitude	ioos_category	String	Location
attribute	longitude	long_name	String	Longitude
attribute	longitude	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P09/current/LONX/
attribute	longitude	standard_name	String	longitude
attribute	longitude	units	String	degrees_east
variable	DOY_GMT		double
attribute	DOY_GMT	_FillValue	double	NaN
attribute	DOY_GMT	actual_range	double	95.7570647922617, 110.754786829747
attribute	DOY_GMT	bcodmo_name	String	unknown
attribute	DOY_GMT	description	String	time corresponding to each profile name. Times are taken as the average of measurement times for a given profile. Time units are days in GMT.
attribute	DOY_GMT	long_name	String	DOY GMT
attribute	DOY_GMT	units	String	unitless
variable	time		double
attribute	time	_CoordinateAxisType	String	Time
attribute	time	actual_range	double	1.52295181E9, 1.524247613E9
attribute	time	axis	String	T
attribute	time	bcodmo_name	String	ISO_DateTime_UTC
attribute	time	description	String	Date and time formatted following ISO8601 convention
attribute	time	ioos_category	String	Time
attribute	time	long_name	String	ISO Date Time UTC
attribute	time	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/
attribute	time	source_name	String	ISO_DateTime_UTC
attribute	time	standard_name	String	time
attribute	time	time_origin	String	01-JAN-1970 00:00:00
attribute	time	time_precision	String	1970-01-01T00:00:00Z
attribute	time	units	String	seconds since 1970-01-01T00:00:00Z
variable	pressure		double
attribute	pressure	_FillValue	double	NaN
attribute	pressure	actual_range	double	1.76301003345858, 51.8271251079746
attribute	pressure	bcodmo_name	String	pressure
attribute	pressure	description	String	average pressure at measurement location
attribute	pressure	long_name	String	Pressure
attribute	pressure	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/PRESPR01/
attribute	pressure	units	String	decibar (dbar)
variable	temp		double
attribute	temp	_FillValue	double	NaN
attribute	temp	actual_range	double	2.59696745459734, 3.31354022090128
attribute	temp	bcodmo_name	String	temperature
attribute	temp	description	String	average temperature
attribute	temp	long_name	String	Temperature
attribute	temp	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/
attribute	temp	units	String	degrees Celsius
variable	S2		double
attribute	S2	_FillValue	double	NaN
attribute	S2	actual_range	double	0.0186852554110757, 1.6843117779088101
attribute	S2	bcodmo_name	String	unknown
attribute	S2	description	String	average total velocity shear (S2=[dU/dz]2+[dV/dz]2
attribute	S2	long_name	String	S2
attribute	S2	units	String	1/s2
variable	turb		double
attribute	turb	_FillValue	double	NaN
attribute	turb	actual_range	double	0.799901315748123, 0.996168509579626
attribute	turb	bcodmo_name	String	turbidity
attribute	turb	description	String	average turbidity
attribute	turb	long_name	String	Turb
attribute	turb	units	String	FTU
variable	chlor		double
attribute	chlor	_FillValue	double	NaN
attribute	chlor	actual_range	double	0.799901315748123, 0.996168509579626
attribute	chlor	bcodmo_name	String	fluorescence
attribute	chlor	description	String	average fluorescence
attribute	chlor	long_name	String	Chlor
attribute	chlor	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/
attribute	chlor	units	String	ppb
variable	dissipation		double
attribute	dissipation	_FillValue	double	NaN
attribute	dissipation	actual_range	double	2.0905364546678E-10, 6.233666502474389E-6
attribute	dissipation	bcodmo_name	String	unknown
attribute	dissipation	description	String	turbulent kinetic energy dissipation calculated from shear signal
attribute	dissipation	long_name	String	Dissipation
attribute	dissipation	units	String	Watts per kilogram (W/kg)

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.