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Dataset Title
Buffalo Pound BigBuoy and SuperBuoy Datasets (2022 - 2025)
Abstract
The datasets represented here are sensor-based monitoring data from the open water season in a shallow, polymictic reservoir in southern Saskatchewan, which serves as an important drinking water supply. Two monitoring buoys, BigBuoy and SuperBuoy, were moored annually at the same site providing sensor data including photosynthetically active radiation (PAR; 0.62 and 0.78 m below surface), pH, dissolved oxygen, turbidity, specific conductivity, phycocyanin and chlorophyll (0.8, or 0.8 and 2.8 m below surface), and temperature (multiple locations in the water column) at high frequency. The buoys were also equipped with weather stations to record air temperature, barometric pressure, PAR, rain, relative humidity, wind direction and wind speed. Data were reviewed for data quality. These long-term datasets represent a continuation after 2021 and can be used to understand thermal variation, chemical and ecological change, and to characterize the often rapid changes that polymictic lakes undergo, particularly those resulting from seasonal changes and development of cyanobacterial blooms.
These data are a continue from data described in A long-term water quality and meteorological data set (2014 - 2021) of a eutrophic prairie lake: Buffalo Pound Lake, Saskatchewan, Canada:
https://waternet.ca/Metadata/Record/T-2025-12-18-z1wycvFUHSUyOysYSxHG4UA
Plain Language Summary
These data support insights into the rapid changes that can occur in polymictic lakes that are
observable via high frequency monitoring.
• The data will support comparative work across lakes to help better understand common
drivers of change during the open water season across diverse regions and lakes, along with
more localized phenomena.
• Thermal data and weather data can also support climatic and hydrological research, and all
data will be of benefit to lake modelling effort s.
• This monitoring has informed drinking water treatment, and ongoing analyses can be used
to better understand driving factors affecting water quality, and its treatability in a rapidly
changing environment.
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