RT Journal Article SR Electronic T1 A 50-year series of mark-recapture data of large-sized brown trout (Salmo trutta) from Lake Mjøsa, Norway JF bioRxiv FD Cold Spring Harbor Laboratory SP 544825 DO 10.1101/544825 A1 S. Jannicke Moe A1 Chloé R. Nater A1 Atle Rustadbakken A1 L. Asbjørn Vøllestad A1 Espen Lund A1 Tore Qvenild A1 Ola Hegge A1 Per Aass YR 2019 UL http://biorxiv.org/content/early/2019/02/08/544825.abstract AB Individual-based mark-recapture data from animal population provide a wealth of opportunities for studies, such as individual variation in vital rates (e.g. survival and reproduction) the links between vital rates and population dynamics. However, maintaining the collection of individual-based data over long time periods comes with large logistic efforts and costs, and studies spanning over decades are therefore rare. Salmonid fishes are of high ecological, cultural, and economical value, but many native wild populations remain in decline. Conservation concerns are particularly great for migratory salmonids as local adaptations and long life spans make them very vulnerable to environmental changes and habitat modifications, e.g., due to hydroelectric power production. This paper describes a unique long-term mark-recapture data set from a land-locked population of large-sized, piscivorous brown trout (Salmo trutta) in Norway: the Hunder trout, named after the main water fall (Hunderfossen) in its spawning river. During the period 1966 to 2017, nearly 15,000 Hunder trout have been captured and individually marked during their spawning migration from Lake Mjøsa to the river Gubrandsdalslågen. Fish were first captured and marked while passing a fish ladder within the hydroelectric dam at the Hunderfossen waterfall, and more than 4,000 were later recaptured there alive and/or reported as dead elsewhere. In combination with related life-history and environmental data, these data can be used to gain insights into a variety of questions regarding management and conservation of migratory salmonid populations. In this data paper, we describe (1) a database containing observations on captures and related life-history data obtained from scales (the SUSTAIN trout database), and (2) a publicly available dataset extracted from this database for analysis of survival (the SUSTAIN trout survival dataset).