Dataset: Lake Erie Winter Surveys 2022

Name: Winter survey data from Lake Erie from Feb 2022 to Mar 2022
Published: 2025-01-23
Keywords: Winter, Lake Erie, Productivity, biota, oceans

Cite This Dataset

DOI:10.26008/1912/bco-dmo.949323.1

Spatial Extent: N:43.8873 E:-81.2528 S:41.7355 W:-83.1343

Laurentian Great Lakes (Lake Erie, Lake St. Clair, Lake Huron)

Temporal Extent: 2022-02-04 - 2022-03-10

Project:

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

Principal Investigator:

Robert Michael McKay (University of Windsor)

Co-Principal Investigator:

George S. Bullerjahn (Bowling Green State University, BGSU)

Student:

Neve C Hudson (University of Windsor)

Contact:

James T. Anderson (United States Coast Guard, USCG)

Zachary Ballard (United States Coast Guard, USCG)

BCO-DMO Data Manager:

Audrey Mickle (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2025-01-23

Restricted:

Validated:

Yes

Current State:

Final no updates expected

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

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.

Expand/Collapse All

Archival Copy

Version Date	Archive	Persistent Identifier (PID)	Date PID Issued
2025-01-23	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.26008/1912/bco-dmo.949323.1	2025-01-28

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*volume_extracted)/volume_filtered)* dilution factor

BCO-DMO Processing

- 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"

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

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-1840715

Deployments

None available yet

Instruments

Bottle

Supplied Name: Sample bottles, 1 or 2 L (Nalgene or equivalent), Plastic wash bottle, 500 mL

Supplied 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.

Instrument Type

Generic Name: Bottle

Generic Description:

A container, typically made of glass or plastic and with a narrow neck, used for storing drinks or other liquids.

Fluorometer

Supplied Name: FluoroProbe

Supplied 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).

Instrument Type

Generic Name: Fluorometer

Community Identifier: http://vocab.nerc.ac.uk/collection/L05/current/113/

Generic 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.

Nutrient Autoanalyzer

Supplied Name: National Center for Water Quality Research at Heidelberg University

Supplied Description:

Instrument Type

Generic Name: Nutrient Autoanalyzer

Community Identifier: http://vocab.nerc.ac.uk/collection/L05/current/LAB04/

Generic 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.

Secchi Disc

Supplied Name: Secchi disc

Supplied 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.

Instrument Type

Generic Name: Secchi Disc

Community Identifier: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0430/

Generic Description:

Typically, a 16 inch diameter white/black quadrant disc used to measure water optical clarity

Turner Designs 700 Laboratory Fluorometer

Supplied Name: TD-700 fluorometer

Supplied 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.

Instrument Type

Generic Name: Turner Designs 700 Laboratory Fluorometer

Acronym: TD-700

Community Identifier: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0510/

Generic 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.

vacuum manifold

Supplied Name: Vacuum manifold system to accommodate 3 filter funnels

Supplied Description:

Vacuum manifold system to accommodate 3 filter funnels

Instrument Type

Generic Name: vacuum manifold

Generic Description:

A device that is used for the vacuum-driven processing of multiwell strips or plates, or spin columns.

Van Dorn water sampler

Supplied Name: 2 L Van Dorn water sampler

Supplied Description:

A Van Dorn water sampler will then be used to collect water at a depth of 1 meter.

Instrument Type

Generic Name: Van Dorn water sampler

Generic 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.

YSI Sonde 6-Series

Supplied Name: YSI 600QS multiparameter sonde

Supplied 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.

Instrument Type

Generic Name: YSI Sonde 6-Series

Community Identifier: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0737/

Generic 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.

Parameters

Date and time formats are described in python strftime() syntax.

Supplied Name	Supplied description	Supplied Units	Standard Name
Station	Station identifier	unitless	station
Date	Date of sample collection in YYYY-mm-dd format Format: %Y-%m-%d	unitless	date
Time	Time of sample collection in Eastern Standard Time in HH:MM format Format: %H:%M	unitless	time
ISO_DateTime_UTC	Datetime of sample collection in ISO 8601 format Format: %Y-%m-%dT%H:%MZ	unitless	ISO_DateTime_UTC
Lake	Lake sampled	unitless	site
Lat	Latitude of sample collection, South is negative	decimal degrees	lat
Long	Longitude of sample collection, West is negative	decimal degrees	lon
Sample_depth	Depth of sample collection	meters (m)	depth
Sample_ice_flag	Indicator that ice was collected as sample and melted for analysis; 1 = ice was collected; 0 = water was collected	unitless	flag
Depth	Depth of water at sampling location	meters (m)	depth_w
Air_temp	Air temperature	Degrees Celsius	temp_air
Water_temp	Water temperature measured at surface	Degrees Celsius	temp
Snow_thickness_profile	Depth of snow on the surface ice	meters (m)	snow_thickness
Ice_thickness_in	Thickness of ice	inches (in)	ice_thickness
Percent_trans_ice_snow	Light transmission through ice and snow	percent (%)	light_trans
Percent_trans_ice	Light transmission through ice without snow cover	percent (%)	light_trans
Ice_Narrative	Description of Ice	unitless	site_descrip
Snow_Narrative	Description of Snow	unitless	site_descrip
Wind_speed	Wind speed	Knots (Kt)	wind_speed_kts
Wind_direction	Wind direction in cardinal (compass) directions	unitless	weather
Barometer	Barometer reading	Hg	press_bar
Chl_A	Average chlorophyll concentrations	ug/L	chl_a
Cl	Average chloride concentration	ppm	Cl
NO2	Average nitrite concentration	mg/L	NO2
TP	Average total dissolved phosphorus concentration	ug/L	P
TN	Average total dissolved nitrogen concentration	mg/L	NH3
NH4	Average ammonium concentration	mg/L	NH4
Stephanodiscus_bieranus	Cell abundance: Stephanodiscus bieranus	Cells per milliliter (cells/mL)	abundance
Stephanodiscus_spp	Cell abundance: Stephanodiscus spp	Cells per milliliter (cells/mL)	abundance
Aulacoseira_spp	Cell abundance: Aulacoseira spp	Cells per milliliter (cells/mL)	abundance
Fragilaria_spp	Cell abundance: Fragilaria spp	Cells per milliliter (cells/mL)	abundance
Nitzschia_sp	Cell abundance: Nitzschia sp	Cells per milliliter (cells/mL)	abundance
Staurosira_spp	Cell abundance: Staurosira spp	Cells per milliliter (cells/mL)	abundance
Asterionella_formosa	Cell abundance: Asterionella formosa	Cells per milliliter (cells/mL)	abundance
Acinoccl_spp	Cell abundance: Acinoccl spp	Cells per milliliter (cells/mL)	abundance
Surirella_s	Cell abundance: Surirella s	Cells per milliliter (cells/mL)	abundance
Navicula_spp	Cell abundance: Navicula spp	Cells per milliliter (cells/mL)	abundance
Diatoma_spp	Cell abundance: Diatoma spp	Cells per milliliter (cells/mL)	abundance
Tabellaria_spp	Cell abundance: Tabellaria spp	Cells per milliliter (cells/mL)	abundance
Synedra_spp	Cell abundance: Synedra spp	Cells per milliliter (cells/mL)	abundance
Gomphonema_sp	Cell abundance: Gomphonema sp	Cells per milliliter (cells/mL)	abundance
Hippodonta_spp	Cell abundance: Hippodonta spp	Cells per milliliter (cells/mL)	abundance
Phyto_centric_small	Cell abundance: Phytoplankton, centric (<9 um)	Cells per milliliter (cells/mL)	abundance
Phyto_centric_large	Cell abundance: Phytoplankton, centric (>9 um)	Cells per milliliter (cells/mL)	abundance
Microflagellates	Cell abundance: Microflagellates	Cells per milliliter (cells/mL)	abundance
Cryptophyta	Cell abundance: Cryptophyta	Cells per milliliter (cells/mL)	abundance
Pyrrophyta	Cell abundance: Pyrrophyta	Cells per milliliter (cells/mL)	abundance
Chrysophyta	Cell abundance: Chrysophyta	Cells per milliliter (cells/mL)	abundance
Eugnophyta	Cell abundance: Eugnophyta	Cells per milliliter (cells/mL)	abundance
Scenedesmus_quadricatum	Cell abundance: Scenedesmus quadricatum	Cells per milliliter (cells/mL)	abundance
Tetrastrum_staurogeniaeforme	Cell abundance: Tetrastrum staurogeniaeforme	Cells per milliliter (cells/mL)	abundance
Micractinium_pusillum	Cell abundance: Micractinium pusillum	Cells per milliliter (cells/mL)	abundance
Ankistrodesmus_spp	Cell abundance: Ankistrodesmus spp	Cells per milliliter (cells/mL)	abundance
Actistrum_hantzschii	Cell abundance: Actistrum hantzschii	Cells per milliliter (cells/mL)	abundance
Chlorobiflagellates	Cell abundance: Chlorobiflagellates	Cells per milliliter (cells/mL)	abundance
Chlamydomos_spp	Cell abundance: Chlamydomos spp	Cells per milliliter (cells/mL)	abundance
Dictyosphaerium_spp	Cell abundance: Dictyosphaerium spp	Cells per milliliter (cells/mL)	abundance
Golenkenia_spp	Cell abundance: Golenkenia spp	Cells per milliliter (cells/mL)	abundance
Tetraedron_spp	Cell abundance: Tetraedron spp	Cells per milliliter (cells/mL)	abundance
coccoid_chlorophytes	Cell abundance: coccoid chlorophytes	Cells per milliliter (cells/mL)	abundance
Lagerhemia	Cell abundance: Lagerhemia	Cells per milliliter (cells/mL)	abundance
Closterium_spp	Cell abundance: Closterium spp	Cells per milliliter (cells/mL)	abundance
Pediastrum_spp	Cell abundance: Pediastrum spp	Cells per milliliter (cells/mL)	abundance
Selestrum_spp	Cell abundance: Selestrum spp	Cells per milliliter (cells/mL)	abundance
Oocystis_spp	Cell abundance: Oocystis spp	Cells per milliliter (cells/mL)	abundance
Spermatozopsis_spp	Cell abundance: Spermatozopsis spp	Cells per milliliter (cells/mL)	abundance
picoplankton	Cell abundance: picoplankton	Cells per milliliter (cells/mL)	abundance
Planktolyngbya_spp	Cell abundance: Planktolyngbya spp	Cells per milliliter (cells/mL)	abundance
Aphanothece_spp	Cell abundance: Aphanothece spp	Cells per milliliter (cells/mL)	abundance
Aphanocapsa_spp	Cell abundance: Aphanocapsa spp	Cells per milliliter (cells/mL)	abundance
Pseudanabaena	Cell abundance: Pseudanabaena	Cells per milliliter (cells/mL)	abundance
Microcystis_spp	Cell abundance: Microcystis spp	Cells per milliliter (cells/mL)	abundance
cocoid_cyanophyte	Cell abundance: cocoid cyanophyte	Cells per milliliter (cells/mL)	abundance
Chroococcus_spp	Cell abundance: Chroococcus spp	Cells per milliliter (cells/mL)	abundance
Dolichospermum_spp	Cell abundance: Dolichospermum spp	Cells per milliliter (cells/mL)	abundance
Merismopedia_spp	Cell abundance: Merismopedia spp	Cells per milliliter (cells/mL)	abundance
Aphanizomenon_flosaquae	Cell abundance: Aphanizomenon flosaquae	Cells per milliliter (cells/mL)	abundance

Status message

Database

Contribute Data

Dataset: Lake Erie Winter Surveys 2022