Data from: Bayesian species recognition and abundance estimation: Unravelling the mysteries of salmonid migration in the Teno River ...

• Main Authors: Räty, Antti, Pulkkinen, Henni, Erkinaro, Jaakko, Orell, Panu, Falkegård, Morten, Mäntyniemi, Samu
• Format: Dataset
• Language: English
• Published: Dryad 2025
• Subjects: FOS: Agriculture, forestry, and fisheries; Atlantic salmon; pink salmon; sonar monitoring; Bayesian modelling; Teno River; Teno; Pink salmon
• Online Access: https://dx.doi.org/10.5061/dryad.cvdncjtds; https://datadryad.org/dataset/doi:10.5061/dryad.cvdncjtds

In Teno River, annual sonar monitoring is used to estimate the abundance of three salmonid species: Atlantic salmon, pink salmon and sea trout. However, the size distribution of these species is partially overlapping making species recognition impossible from plain sonar data. A Bayesian model was d...