Biological Technician
Email:
dshively@contractor.usgs.gov
Office Phone:
219-926-8336
Fax:
219-929-5792
ORCID:
0000-0002-6119-924X
Location
U. S. Geological Survey
1574 Kemil Road N 300 E
Chesterton
, IN
46304
US
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This dataset records Cladophora and associated submerged aquatic vegetation (SAV) biomass collected approximately monthly during the growing season of 2019 at stations located along the U.S. shoreline of Lakes Michigan, Huron, Erie, and Ontario. It also records a variety of supporting data collected at Cladophora measurement stations. These supporting data include: - seasonal time series of light, currents, wave action, temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll, and dissolved oxygen from moored sensors at a subset of stations; - measurements of Secchi disk depth and water chemistry; - water column profiles of temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll,...
Categories: Data,
Data Release - Revised;
Tags: CTD measurement,
Great Lakes Region,
Lake Erie,
Lake Huron,
Lake Michigan, All tags...
Lake Ontario,
USGS Science Data Catalog (SDC),
acoustic Doppler current profiling,
algae,
algal blooms,
aquatic biology,
aquatic vegetation,
benthos,
biota,
environment,
eutrophication,
freshwater ecosystems,
habitat alteration and disturbance,
inlandWaters,
invasive species,
mollusks,
nuisance species,
nutrient content (water),
optical methods,
oxygen content (water),
phosphorus,
submerged aquatic vegetation,
surface water quality,
suspended material (water),
turbidity,
water pH,
water sampling,
water temperature, Fewer tags
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Note: An error was discovered in the BenthicBiomas Table, mostly in designation of BDLs and zeros. Data are undergoing further QC and the corrected dataset will be posted soon. This dataset records Cladophora and associated submerged aquatic vegetation (SAV) biomass collected approximately monthly during the growing season of 2018 at stations located along the U.S. shoreline of Lakes Michigan, Huron, Erie, and Ontario. It also records a variety of supporting data collected at Cladophora measurement stations. These supporting data include: - seasonal time series of light, currents, wave action, temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll, and dissolved oxygen from moored sensors...
Categories: Data,
Data Release - Revised;
Tags: Aquatic Biology,
CTD measurement,
Ecology,
Great Lakes Region,
Lake Erie, All tags...
Lake Huron,
Lake Michigan,
Lake Ontario,
Limnology,
USGS Science Data Catalog (SDC),
Water Quality,
acoustic Doppler current profiling,
algae,
algal blooms,
aquatic biology,
aquatic vegetation,
benthos,
biota,
environment,
eutrophication,
freshwater ecosystems,
habitat alteration,
inlandWaters,
invasive species,
mollusks,
nuisance species,
nutrient content (water),
optical methods,
oxygen content (water),
phosphorus,
submerged aquatic vegetation,
surface water quality,
suspended material (water),
turbidity,
water pH,
water sampling,
water temperature, Fewer tags
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Data included are from a series of field sample collections from Lakes Michigan and Huron, and laboratory mesocosms targeting the round goby fish (Neogobius melanostomus). The round goby is a benthic fish that has heavily invaded four of the five Laurentian Great Lakes. Because it inhabits a variety of substrates, including coastal breakwaters, traditional methods (e.g., trawling, trapping) are inadequate to quantify overall population size. Environmental DNA (eDNA) may be a viable option for improving detection and quantification of the species. Field data include number of round goby caught and associated ambient conditions of the aquatic matrix (temperature, pH, turbidity, conductivity, dissolved oxygen). Mesocosm...
Categories: Data;
Tags: Indiana Dunes National Lakeshore,
Lake Huron,
Lake Michigan,
USGS Science Data Catalog (SDC),
biota, All tags...
environment,
environmental DNA,
field methods,
freshwater ecosystems,
invasive species, Fewer tags
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This dataset records Cladophora and associated benthic algae, collectively Cladophora community or submerged aquatic vegetation (SAV), biomass collected during the growing season of 2021 at stations located along the U.S. shoreline of Lakes Michigan, Huron, Erie, and Ontario. It also records a variety of supporting data collected at Cladophora measurement stations. These supporting data include: - seasonal time series of light, currents, wave action, temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll, and dissolved oxygen from moored sensors at a subset of stations; - measurements of Secchi disk depth and water chemistry; - water column profiles of PAR, temperature, specific conductivity,...
Categories: Data;
Tags: Aquatic Biology,
CTD measurement,
Ecology,
Great Lakes Region,
Lake Erie, All tags...
Lake Huron,
Lake Michigan,
Lake Ontario,
Limnology,
USGS Science Data Catalog (SDC),
Water Quality,
algae,
algal blooms,
aquatic biology,
aquatic vegetation,
benthos,
biota,
environment,
eutrophication,
field sampling,
freshwater ecosystems,
habitat alteration and disturbance,
inlandWaters,
invasive species,
mollusks,
nuisance species,
nutrient content (water),
optical methods,
oxygen content (water),
phosphorus,
submerged aquatic vegetation,
surface water quality,
suspended material (water),
turbidity,
water pH,
water sampling,
water temperature, Fewer tags
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The Grand Calumet River flows through northwestern Indiana and was designated an EPA Area of Concern (AOC) in 1987. There are multiple legacy pollutants in the river including but not limited to heavy metals and PCBs. To investigate potential causes and patterns of eutrophication in the river, water samples were collected for 16S rRNA microbial and eukaryotic 18S rRNA amplicon sequencing during April - September 2021. This data release describes the resulting sequencing data.
Categories: Data;
Tags: Aquatic Biology,
DNA Sequencing,
Environmental Health,
Environmental Health,
Eukaryotic 18S metabarcoding, All tags...
Freshwater river metagenome,
Genetics,
Genetics,
Microbial 16S metabarcoding,
USGS Science Data Catalog (SDC),
Water Quality,
Water Quality,
biota,
environment, Fewer tags
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