RivTemp--Indian Bay Ecosystem Corporation

• Main Author: RivTemp--Indian Bay Ecosystem Corporation RivTemp is responsible for the coordination and for processing data collected by the network partners.
• Format: Dataset
• Language: English
• Published: DataStream 2021
• Subjects: Canada; Indian; Atlantic salmon
• Online Access: https://dx.doi.org/10.25976/gzy7-sl16; https://datastream.org/dataset/99c6f825-9ab1-4579-8998-44f70615416d

"RivTemp is a partnership between universities, federal and provincial agencies, watershed organizations and Atlantic salmon conservation organizations. RivTemp aims to bring together organizations concerned with water temperature issues in Atlantic salmon rivers; to centralize temperature data collected by different organizations on a variety of rivers in Eastern Canada (RivTemp database) and to develop thermal metrics relevant to the development of salmon protection tools and protocols. The establishment of the RivTemp network and its database was made possible by the financial contribution of the Atlantic Salmon Conservation Foundation (ASCF) and the participation of numerous partners active in the salmon river thermal monitoring program. For more information visit http://rivtemp.ca/" : Temperature Data are DAILY Mean (for DAILY Min and Max visit http://rivtemp.ca/). The instruments used for water temperature measurement vary from station to station. However, Hobo Pendant (Onset) models are widely used at these stations. Some stations are monitored only during the summer months while others are maintained year-round. : The daily data were validated according to a series of automated procedures applied to the observed data (validations are made on the amplitude of the measured values and on the fluctuations between two observations) and to the calculated daily values (verification of the number of observations kept and of the average fluctuations of the measurements during the day). Despite these validation procedures, some erroneous data may still be present. RivTemp and its partners assume no liability for any action, error or omission, use, misuse or result arising from the use of this data or parts thereof.