Winter survey data from Lake Erie from Feb 2022 to Mar 2022

Website: https://www.bco-dmo.org/dataset/949323
Data Type: Cruise Results
Version: 1
Version Date: 2025-01-23

Project
» Lake Erie Center for Fresh Waters and Human Health (Great Lakes Center)
ContributorsAffiliationRole
McKay, Robert MichaelUniversity of WindsorPrincipal Investigator
Bullerjahn, George S.Bowling Green State University (BGSU)Co-Principal Investigator
Hudson, Neve CUniversity of WindsorStudent
Anderson, James T.United States Coast Guard (USCG)Contact
Ballard, ZacharyUnited States Coast Guard (USCG)Contact
Mickle, AudreyWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
This dataset includes winter survey data from Lake Erie collected from February 2022 to March 2022. The survey includes environmental observations, physico-chemical data, chlorophyll, total and dissolved nutrients, plankton taxonomic classification, and cell abundance. The Lake Erie Center for Fresh Waters and Human Health is a five-year, multi-institutional effort aimed at understanding the environmental factors and ongoing changes that influence the growth and toxicity of cyanobacterial harmful algal blooms (cHABs) in Lake Erie.


Coverage

Location: Laurentian Great Lakes (Lake Erie, Lake St. Clair, Lake Huron)
Spatial Extent: N:43.8873 E:-81.2528 S:41.7355 W:-83.1343
Temporal Extent: 2022-02-04 - 2022-03-10

Dataset Description

Lake Erie Center for Fresh Waters and Human Health

The Lake Erie Center for Fresh Waters and Human Health is a five-year, multi-institutional effort aimed at understanding the environmental factors and ongoing changes that influence the growth and toxicity of cyanobacterial harmful algal blooms (cHABs) in Lake Erie. The Center will support three research projects. Specifically these projects address the following aims: first, how environmental cues promote or constrain the proliferation of cHAB species in mixed populations; second, how environmental cues influence toxin production by cHAB species; third, how other member of the microbial assemblage influence cHAB growth and toxicity. The Center will provide a Community Engagement Core to lead outreach activities that will inform the general public on the effects of cHABs by efforts that include: (1) a community engaged scholarship training for scientists associated with the Center, (2) community-engaged scholarship training for practitioners or community members associated with the Center, and (3) a stakeholder needs assessment for Great Lakes and environmental health literacy to inform general outreach information needs. A citizen science engagement with charter boat captains will further develop a near real-time database on cHAB severity in Lake Erie, and the Facilities Core will provide metadata that not only serve the three stated research projects, but also yield a database available to all Great Lakes scientists. The outcomes are to involve community stakeholders and researchers in the Great Lakes on issues regarding human health, climate change and awareness of threats to our fresh water resources.


Methods & Sampling

The vessel will come to a stop when the predetermined sampling station is reached, at a time decided on by the ship's command. The location and time of sampling will be recorded, as well as the environmental conditions. The trained crew members of the vessel will then use a YSI water quality sonde to collect data and that will be recorded. A Secchi disc with measurement indicators every 10 centimeters will then be deployed and recordings will be taken on both the upcast and downcast. A Van Dorn water sampler will then be used to collect water at a depth of 1 meter. Water samples are then transferred to 1 L polyethylene storage bottles or 2 L plastic storage bottles, and stored in a dark place at 4 oC until picked up by personnel on the same day. The samples will then be transported in coolers containing ice packs to Bowling Green State University (BGSU). Limited water samples were also taken from shore sampling locations, where the methodology remained the same. 

Sub-samples for chlorophyll a will be taken at BGSU using 0.4 um polycarbonate membranes and a vacuum filtration system. The filter will be placed in a screw cap polyethylene centrifuge tube and stored in a dark freezer until extraction. The samples will be extracted using 90% acetone and kept at -20 oC for 24 hours, and chlorophyll will be measured using a TD-700 fluorometer (Welschmeyer, 1994).

Total and dissolved nutrient samples will be held in acid-washed 250 mL polyethylene bottles, and stored in a dark freezer at -20 oC until they are ready to be analyzed. Dissolved nutrient sub-samples will be taken by filtering the agitated sampled water through 0.22 um filters. The data will then be shipped to the National Center for Water Quality Research at Heidelberg University (Tiffin, OH).


Data Processing Description

The meteorological data was taken directly from readings using vessel instruments, marine forecasts, and expert observations. The physico-chemical data was obtained using a YSI 600QS multiparameter sonde, and nutrient concentrations were analyzed at the National Center for Water Quality Research at Heidelberg University. Fluorometric classification of phytoplankton was measured using a FluoroProbe (bbe Moldaenke GmbH, Schwentinental, Germany), and plankton taxonomic classification and cell enumeration was conducted by Aquatic Taxonomy Specialists (Malinta, OH). The extractive chlorophyll was read using a TD-700 Fluorometer (Turner Designs Inc., San Jose, CA), the sample concentrations were then calculated with the equation below, and the averages for each site were calculated from the triplicate samples.

Chla = ((reading*volumeextracted)/volumefiltered)* dilution factor


BCO-DMO Processing Description

- Imported "Winter_Lake_Erie_2022_Metadata.csv" into BCO DMO system
- Combined "Date" and "Time" to create "ISO_DateTime_UTC" field in ISO UTC format
- Added flag field for ice collection; removed strings from sample depth column
- Replace "Pseudoa-bae-" with "Pseudanabaena"
- Modified parameter names to conform with BCO-DMO system requirements
- Removed "Ice_thickness_m" parameter as instructed by submitter
- Exported "940112_v1_lake_erie_winter_survey_2023-2024.csv" as main datafile and "winter_lake_erie_2023-2024_deployments.csv" as supplemental file
- Exported file as "949323_v1_winter_lake_erie_2022.csv"


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Data Files

File
949323_v1_winter_lake_erie_2022.csv
(Comma Separated Values (.csv), 6.69 KB)
MD5:a48b16b46bf81e949c907a0465ff99fa
Primary data file for dataset ID 949323, version 1

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Parameters

ParameterDescriptionUnits
Station

Station identifier

unitless
Date

Date of sample collection in YYYY-mm-dd format

unitless
Time

Time of sample collection in Eastern Standard Time in HH:MM format

unitless
ISO_DateTime_UTC

Datetime of sample collection in ISO 8601 format

unitless
Lake

Lake sampled

unitless
Lat

Latitude of sample collection, South is negative

decimal degrees
Long

Longitude of sample collection, West is negative

decimal degrees
Sample_depth

Depth of sample collection

meters (m)
Sample_ice_flag

Indicator that ice was collected as sample and melted for analysis; 1 = ice was collected; 0 = water was collected

unitless
Depth

Depth of water at sampling location

meters (m)
Air_temp

Air temperature

Degrees Celsius
Water_temp

Water temperature measured at surface

Degrees Celsius
Snow_thickness_profile

Depth of snow on the surface ice

meters (m)
Ice_thickness_in

Thickness of ice

inches (in)
Percent_trans_ice_snow

Light transmission through ice and snow

percent (%)
Percent_trans_ice

Light transmission through ice without snow cover

percent (%)
Ice_Narrative

Description of Ice

unitless
Snow_Narrative

Description of Snow

unitless
Wind_speed

Wind speed

Knots (Kt)
Wind_direction

Wind direction in cardinal (compass) directions

unitless
Barometer

Barometer reading

Hg
Chl_A

Average chlorophyll concentrations

ug/L
Cl

Average chloride concentration

ppm
NO2

Average nitrite concentration

mg/L
TP

Average total dissolved phosphorus concentration

ug/L
TN

Average total dissolved nitrogen concentration

mg/L
NH4

Average ammonium concentration

mg/L
Stephanodiscus_bieranus

Cell abundance: Stephanodiscus bieranus

Cells per milliliter (cells/mL)
Stephanodiscus_spp

Cell abundance: Stephanodiscus spp

Cells per milliliter (cells/mL)
Aulacoseira_spp

Cell abundance: Aulacoseira spp

Cells per milliliter (cells/mL)
Fragilaria_spp

Cell abundance: Fragilaria spp

Cells per milliliter (cells/mL)
Nitzschia_sp

Cell abundance: Nitzschia sp

Cells per milliliter (cells/mL)
Staurosira_spp

Cell abundance: Staurosira spp

Cells per milliliter (cells/mL)
Asterionella_formosa

Cell abundance: Asterionella formosa

Cells per milliliter (cells/mL)
Acinoccl_spp

Cell abundance: Acinoccl spp

Cells per milliliter (cells/mL)
Surirella_s

Cell abundance: Surirella s

Cells per milliliter (cells/mL)
Navicula_spp

Cell abundance: Navicula spp

Cells per milliliter (cells/mL)
Diatoma_spp

Cell abundance: Diatoma spp

Cells per milliliter (cells/mL)
Tabellaria_spp

Cell abundance: Tabellaria spp

Cells per milliliter (cells/mL)
Synedra_spp

Cell abundance: Synedra spp

Cells per milliliter (cells/mL)
Gomphonema_sp

Cell abundance: Gomphonema sp

Cells per milliliter (cells/mL)
Hippodonta_spp

Cell abundance: Hippodonta spp

Cells per milliliter (cells/mL)
Phyto_centric_small

Cell abundance: Phytoplankton, centric (<9 um)

Cells per milliliter (cells/mL)
Phyto_centric_large

Cell abundance: Phytoplankton, centric (>9 um)

Cells per milliliter (cells/mL)
Microflagellates

Cell abundance: Microflagellates

Cells per milliliter (cells/mL)
Cryptophyta

Cell abundance: Cryptophyta

Cells per milliliter (cells/mL)
Pyrrophyta

Cell abundance: Pyrrophyta

Cells per milliliter (cells/mL)
Chrysophyta

Cell abundance: Chrysophyta

Cells per milliliter (cells/mL)
Eugnophyta

Cell abundance: Eugnophyta

Cells per milliliter (cells/mL)
Scenedesmus_quadricatum

Cell abundance: Scenedesmus quadricatum

Cells per milliliter (cells/mL)
Tetrastrum_staurogeniaeforme

Cell abundance: Tetrastrum staurogeniaeforme

Cells per milliliter (cells/mL)
Micractinium_pusillum

Cell abundance: Micractinium pusillum

Cells per milliliter (cells/mL)
Ankistrodesmus_spp

Cell abundance: Ankistrodesmus spp

Cells per milliliter (cells/mL)
Actistrum_hantzschii

Cell abundance: Actistrum hantzschii

Cells per milliliter (cells/mL)
Chlorobiflagellates

Cell abundance: Chlorobiflagellates

Cells per milliliter (cells/mL)
Chlamydomos_spp

Cell abundance: Chlamydomos spp

Cells per milliliter (cells/mL)
Dictyosphaerium_spp

Cell abundance: Dictyosphaerium spp

Cells per milliliter (cells/mL)
Golenkenia_spp

Cell abundance: Golenkenia spp

Cells per milliliter (cells/mL)
Tetraedron_spp

Cell abundance: Tetraedron spp

Cells per milliliter (cells/mL)
coccoid_chlorophytes

Cell abundance: coccoid chlorophytes

Cells per milliliter (cells/mL)
Lagerhemia

Cell abundance: Lagerhemia

Cells per milliliter (cells/mL)
Closterium_spp

Cell abundance: Closterium spp

Cells per milliliter (cells/mL)
Pediastrum_spp

Cell abundance: Pediastrum spp

Cells per milliliter (cells/mL)
Selestrum_spp

Cell abundance: Selestrum spp

Cells per milliliter (cells/mL)
Oocystis_spp

Cell abundance: Oocystis spp

Cells per milliliter (cells/mL)
Spermatozopsis_spp

Cell abundance: Spermatozopsis spp

Cells per milliliter (cells/mL)
picoplankton

Cell abundance: picoplankton

Cells per milliliter (cells/mL)
Planktolyngbya_spp

Cell abundance: Planktolyngbya spp

Cells per milliliter (cells/mL)
Aphanothece_spp

Cell abundance: Aphanothece spp

Cells per milliliter (cells/mL)
Aphanocapsa_spp

Cell abundance: Aphanocapsa spp

Cells per milliliter (cells/mL)
Pseudanabaena

Cell abundance: Pseudanabaena

Cells per milliliter (cells/mL)
Microcystis_spp

Cell abundance: Microcystis spp

Cells per milliliter (cells/mL)
cocoid_cyanophyte

Cell abundance: cocoid cyanophyte

Cells per milliliter (cells/mL)
Chroococcus_spp

Cell abundance: Chroococcus spp

Cells per milliliter (cells/mL)
Dolichospermum_spp

Cell abundance: Dolichospermum spp

Cells per milliliter (cells/mL)
Merismopedia_spp

Cell abundance: Merismopedia spp

Cells per milliliter (cells/mL)
Aphanizomenon_flosaquae

Cell abundance: Aphanizomenon flosaquae

Cells per milliliter (cells/mL)


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Instruments

Dataset-specific Instrument Name
Sample bottles, 1 or 2 L (Nalgene or equivalent), Plastic wash bottle, 500 mL
Generic Instrument Name
Bottle
Dataset-specific Description
Water samples are then transferred to 1 L polyethylene storage bottles or 2 L plastic storage bottles, and stored in a dark place at 4 oC until picked up by personnel on the same day.  Total and dissolved nutrient samples will be held in acid-washed 250 mL polyethylene bottles, and stored in a dark freezer at -20 oC until they are ready to be analyzed. 
Generic Instrument Description
A container, typically made of glass or plastic and with a narrow neck, used for storing drinks or other liquids.

Dataset-specific Instrument Name
FluoroProbe
Generic Instrument Name
Fluorometer
Dataset-specific Description
Fluorometric classification of phytoplankton was measured using a FluoroProbe (bbe Moldaenke GmbH, Schwentinental, Germany), and plankton taxonomic classification and cell enumeration was conducted by Aquatic Taxonomy Specialists (Malinta, OH). 
Generic 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.

Dataset-specific Instrument Name
National Center for Water Quality Research at Heidelberg University
Generic Instrument Name
Nutrient Autoanalyzer
Dataset-specific Description
Total and dissolved nutrient samples will be held in acid-washed 250 mL polyethylene bottles, and stored in a dark freezer at -20 oC until they are ready to be analyzed. Dissolved nutrient sub-samples will be taken by filtering the agitated sampled water through 0.22 um filters. The data will then be shipped to the National Center for Water Quality Research at Heidelberg University (Tiffin, OH).
Generic Instrument Description
Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified. In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples.

Dataset-specific Instrument Name
Secchi disc
Generic Instrument Name
Secchi Disc
Dataset-specific Description
A Secchi disc with measurement indicators every 10 centimeters will then be deployed and recordings will be taken on both the upcast and downcast. 
Generic Instrument Description
Typically, a 16 inch diameter white/black quadrant disc used to measure water optical clarity

Dataset-specific Instrument Name
TD-700 fluorometer
Generic Instrument Name
Turner Designs 700 Laboratory Fluorometer
Dataset-specific Description
The extractive chlorophyll was read using a TD-700 Fluorometer (Turner Designs Inc., San Jose, CA), the sample concentrations were then calculated with the equation below, and the averages for each site were calculated from the triplicate samples.
Generic Instrument Description
The TD-700 Laboratory Fluorometer is a benchtop fluorometer designed to detect fluorescence over the UV to red range. The instrument can measure concentrations of a variety of compounds, including chlorophyll-a and fluorescent dyes, and is thus suitable for a range of applications, including chlorophyll, water quality monitoring and fluorescent tracer studies. Data can be output as concentrations or raw fluorescence measurements.

Dataset-specific Instrument Name
Vacuum manifold system to accommodate 3 filter funnels
Generic Instrument Name
vacuum manifold
Dataset-specific Description
Vacuum manifold system to accommodate 3 filter funnels
Generic Instrument Description
A device that is used for the vacuum-driven processing of multiwell strips or plates, or spin columns.

Dataset-specific Instrument Name
2 L Van Dorn water sampler
Generic Instrument Name
Van Dorn water sampler
Dataset-specific Description
A Van Dorn water sampler will then be used to collect water at a depth of 1 meter. 
Generic Instrument Description
A free-flushing water sample bottle comprising a cylinder (polycarbonate, acrylic or PVC) with a stopper at each end. The bottle is closed by means of a messenger from the surface releasing the tension on a latex band and thus pulling the two stoppers firmly into place. A thermometer can be mounted inside the bottle. One or more bottles can be lowered on a line to allow sampling at a single or multiple depth levels. Van Dorn samplers are suitable for for physical (temperature), chemical and biological sampling in shallow to very deep water. Bottles are typically lowered vertically through the water column although a horizontal version is available for sampling near the seabed or at thermoclines or chemoclines. Because of the lack of metal parts the bottles are suitable for trace metal sampling, although the blue polyurethane seal used in the Alpha version may leach mercury. The Beta version uses white ASA plastic seals that do not leach mercury but are less durable.

Dataset-specific Instrument Name
YSI 600QS multiparameter sonde
Generic Instrument Name
YSI Sonde 6-Series
Dataset-specific Description
The physico-chemical data was obtained using a YSI 600QS multiparameter sonde, and nutrient concentrations were analyzed at the National Center for Water Quality Research at Heidelberg University.
Generic Instrument Description
YSI 6-Series water quality sondes and sensors are instruments for environmental monitoring and long-term deployments. YSI datasondes accept multiple water quality sensors (i.e., they are multiparameter sondes). Sondes can measure temperature, conductivity, dissolved oxygen, depth, turbidity, and other water quality parameters. The 6-Series includes several models. More from YSI.


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Project Information

Lake Erie Center for Fresh Waters and Human Health (Great Lakes Center)


Coverage: Laurentian Great Lakes


NSF Award Abstract:
The Lake Erie Center for Fresh Waters and Human Health is a five-year, multi-institutional effort aimed at understanding the environmental factors and ongoing changes that influence the growth and toxicity of cyanobacterial harmful algal blooms (cHABs) in Lake Erie. The Center will support three research projects. Specifically these projects address the following aims: first, how environmental cues promote or constrain the proliferation of cHAB species in mixed populations; second, how environmental cues influence toxin production by cHAB species; third, how other member of the microbial assemblage influence cHAB growth and toxicity. The Center will provide a Community Engagement Core to lead outreach activities that will inform the general public on the effects of cHABs by efforts that include: (1) a community engaged scholarship training for scientists associated with the Center, (2) community-engaged scholarship training for practitioners or community members associated with the Center, and (3) a stakeholder needs assessment for Great Lakes and environmental health literacy to inform general outreach information needs. A citizen science engagement with charter boat captains will further develop a near real-time database on cHAB severity in Lake Erie, and the Facilities Core will provide metadata that not only serve the three stated research projects, but also yield a database available to all Great Lakes scientists. The outcomes are to involve community stakeholders and researchers in the Great Lakes on issues regarding human health, climate change and awareness of threats to our fresh water resources.

The Center is jointly supported by NSF and by the National Institute for Environmental Health Sciences (NIEHS).

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.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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