Central and western Baltic Sea data and ecosystem risk assessment for 2020

Read full text
Authors: Gianpaolo Coro, Pavirani, Laura
Cited by: 0

Abstract

Open data repository for central and western Baltic Sea data and results from two ecosystem risk assessment models for 2020. The models were a Multi K-means-based unsupervised risk assessment process and a deep learning-based model (Variational Autoencoder, VAE) with the consecutive re-application of Multi K-means to the anomalies identified by the VAE.

Fields of Study & Subjects

Coastal and Marine Management Anomaly Detection Techniques and Applications Oceanographic and Atmospheric Processes

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 February 2026
Language
EN
Document type
Dataset