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Northwestern Ontario Lake Size Series (NOLSS) lakes- water chemistry data.
This dataset includes water chemistry data collected from five of the six lakes as part of the Northwestern Ontario Size Series project in 1987 and 1990 including species of nitrogen and phosphorus, carbon, chlorophyll a, conductivity, soluble reactive silica, chloride, sulphate, conductivity, sodium, potassium, magnesium, calcium, pH, alkalinity and organic acids
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Lake Ontario Water Quality Transect Data 2015-18
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From May of 2015 through September of 2018, water-quality data were collected at 178 locations from select tributaries, embayments, and nearshore lake locations along New York's Lake Ontario waterfront in support of the Great Lakes Restoration Initiative and the Lakewide Action Management Plan. These data include environmental, replicate, and blank samples of nutrients and suspended solids as well as field measurements of physical parameters (temperature, specific conductance, dissolved oxygen, pH, turbidity, phycocyanin relative fluorescence, and chlorophyll relative fluorescence).
Lake Ontario Nearshore Nutrient Study (LONNS), 2018, Lake Ontario, New York
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From April through September of 2018, water-quality data were collected at 35 locations from select tributaries, embayments, and nearshore lake locations along New York's portion of Lake Ontario in support of the 2018 Cooperative Science and Monitoring Initiative, the Great Lakes Restoration Initiative, and the Lakewide Action Management Plan. These data include environmental, replicate, and blank samples of nutrients, suspended solids, sodium, and chloride, as well as field measurements of physical parameters (temperature, specific conductance, dissolved oxygen, pH, turbidity, phycocyanin relative fluorescence, chlorophyll relative fluorescence, photosynthetically active radiation, and phycocyanin:cholorphyll ratio).
Lake Ontario Nearshore Nutrient Study (LONNS), 2018, Lake Ontario, New York
공공데이터포털
From April through September of 2018, water-quality data were collected at 35 locations from select tributaries, embayments, and nearshore lake locations along New York's portion of Lake Ontario in support of the 2018 Cooperative Science and Monitoring Initiative, the Great Lakes Restoration Initiative, and the Lakewide Action Management Plan. These data include environmental, replicate, and blank samples of nutrients, suspended solids, sodium, and chloride, as well as field measurements of physical parameters (temperature, specific conductance, dissolved oxygen, pH, turbidity, phycocyanin relative fluorescence, chlorophyll relative fluorescence, photosynthetically active radiation, and phycocyanin:cholorphyll ratio).
Lake Ontario Water Quality and Velocity Transect Data 2015-18
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From May of 2015 through September of 2018, water-quality data were collected at 178 locations and velocity data were collected along 7 transects from select tributaries, embayments, and nearshore lake locations along New York's Lake Ontario waterfront in support of the Great Lakes Restoration Initiative and the Lakewide Action Management Plan. These data include: depth, velocity magnitude, velocity direction, navigational data, ADCP temperature, and channel profile.
Lake Ontario Water Quality and Velocity Transect Data 2015-18
공공데이터포털
From May of 2015 through September of 2018, water-quality data were collected at 178 locations and velocity data were collected along 7 transects from select tributaries, embayments, and nearshore lake locations along New York's Lake Ontario waterfront in support of the Great Lakes Restoration Initiative and the Lakewide Action Management Plan. These data include: depth, velocity magnitude, velocity direction, navigational data, ADCP temperature, and channel profile.
Lake Ontario Downstream Tributary Water Chemistry Monitoring
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From 2018 to 2023, ministry staff collected water quality samples year-round from seven rivers that flow into Lake Ontario in the Greater Toronto Area. They did this to understand the amount of pollutants and other materials that these rivers carry into the lake. **Parameters measured** The dataset contains information on the water quality of these rivers, including: - Nutrients - Major ions - Suspended solids - Heavy metals - Microbial indicators **Sample types** The dataset has two types of water samples: 1. Discrete samples collected at a specific time 2. Composite samples collected over periods of time
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