VIS - Estuarine monitoring in Flanders, Belgium (post 2013) is a sampling event dataset published by the Research Institute for Nature and Forest (INBO). The dataset contains close to 32,000 fish occurrences sampled between 2013 and 2016 from 33 locations in the estuary of the river Yser and the part of the river Scheldt under tidal influence ("Zeeschelde"). The dataset includes over 60 fish species, as well as a number of non-target crustacean species. The data are retrieved from the Fish Information System (VIS), a database set up to monitor the status of fishes and their habitats in Flanders and are collected in support of the Water Framework Directive, the Habitat Directive, certain red lists, and biodiversity research. The VIS database is described in Brosens et al. 2015 (https://doi.org/10.3897/zookeys.475.8556). Additional information, such as measurements, absence information and abiotic data are available upon request. Issues with the dataset can be reported at https://github.com/inbo/data-publication/tree/master/datasets/vis-estuarine-monitoring-events Length and weight measurement data of the individual fishes, absence information, occurrence data since 2015, as well as abiotic data of the sampling points (pH, temperature, etc.) are not included in the Darwin Core Archive and are available upon request. We released the data to the public domain under a Creative Commons Zero waiver (http://creativecommons.org/publicdomain/zero/1.0/). We would appreciate however, if you read and follow these norms for data use (http://www.inbo.be/en/norms-for-data-use) and provide a link to the original dataset (https://doi.org/10.15468/jhv16z) whenever possible. If you use these data for a scientific paper, please cite the dataset following the applicable citation norms and/or consider us for co-authorship. We are always interested to know how you have used or visualized the data, or to provide more information, so please contact us via the contact information provided in the metadata, opendata@inbo.be or https://twitter.com/oscibio.