A digital-twin strategy using robots for marine ecosystem monitoring

22 pages, 11 figures, 4 tables, 1 appendix.-- Data availability: Raw and processed data and metadata presented here is public, on-line and free following FAIR principles. - Physical data from Obsea sensors is available at https://data.obsea.es/erddap/tabledap/index.html?page=1&itemsPerPage=1000 - Raw images, labelled images and AI models are available here Baños Castelló, P., Prat Bayarri, O., Martínez Padró, E., Francescangeli, M., Aguzzi, J., & del Rio, J. (2025). Labelled Images at OBSEA for Object Detection Algorithms [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14888328 Martínez Padró, E., Prat i Bayarri, O., Baños Castelló, P., Francescangeli, M., Toma, D. M., Nogueras-Cervera, M., Artero-Delgado, C., Carandell Widmer, M., Cadena Muñoz, F. J., Bghiel Bensalah, I., Batet Xaus, G., Aguzzi, J., & del Rio, J. (2025). AI-based fish detections at OBSEA Underwater Observatory [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14916451 Baños Castelló, P., Prat I Bayarri, O., Martínez Padró, E., Francescangeli, M., & del Rio, J. (2025). Underwater images from OBSEA fish detection training dataset (YOLO) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14888440. Pol, B., Oriol, P., Martínez Padró, E., & del Rio, J. (2025). OBSEA fish detector AI model (YOLO). Zenodo. https://doi.org/10.5281/zenodo.14910365 - Abyssal NE Pacific Seafloor Megafauna Dataset is available at: Erik Simon-Lledó, Amon, D. J., Bribiesca-Contreras, G., Daphne Cuvelier, Jennifer M. Durden, Sofia P. Ramalho, Katja Uhlenkott, Pedro Martinez Arbizu, Noëlie Benoist, Jonathan Copley, Thomas G. Dahlgren, Adrian G. Glover, Bethany Fleming, Tammy Horton, Se-Jong Ju, Alejandra Mejia-Saenz, Kirsty McQuaid, Ellen Pape, Chailinn Park, … Daniel O. B. Jones. (2023). Abyssal NE Pacific Seafloor Megafauna Dataset (Versión 1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7982462 - Source code of the GUI visualization tool is available at https://github.com/BlueNetCat/OBSEA

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Publication Details

Journal
Ecological Informatics
Published
2025-08-28
DOI
https://doi.org/10.1016/j.ecoinf.2025.103409
Citations
3
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
3.44
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article

A digital-twin strategy using robots for marine ecosystem monitoring

Luca Mirimin, Damianos Chatzievangelou, Daniel Mihai Toma, Matias Carandell Widmer et al.
3 citations
Ecological Informatics
Underwater Vehicles and Communication Systems
3.44
article

A digital-twin strategy using robots for marine ecosystem monitoring

Luca Mirimin, Damianos Chatzievangelou, Daniel Mihai Toma, Matias Carandell Widmer, Joaquín del Río Fernández, Nixon Bahamón, Jonathan M. White, Marco Francescangeli, Rafael García, Tim W. Nattkemper, Laurenz Thomsen, Sérgio Stefanni, Elias Chatzidouros, Ivan Masmitjà Rusiñol, Nathan J. Robinson, Erik Simon‐Lledó, Jacopo Aguzzi, Morane Clavel-Henry, Danovaro Roberto, Emanuela Fanelli, Giacomo Picardi, David Sarrià Gandul, Jordi Grinyó, Enoc Martínez Padró, Ricard Campos, José Benito Quintana, Joan Navarro, POL BAÑOS, Silvia Gallegati, Juliana Quevedo, Oriol Prat, Sascha Flögel, Michael Tangerlini, Thomas Parissis, Stavroula Panagiotidou
article en
3 citations

Abstract

22 pages, 11 figures, 4 tables, 1 appendix.-- Data availability: Raw and processed data and metadata presented here is public, on-line and free following FAIR principles. - Physical data from Obsea sensors is available at https://data.obsea.es/erddap/tabledap/index.html?page=1&itemsPerPage=1000 - Raw images, labelled images and AI models are available here Baños Castelló, P., Prat Bayarri, O., Martínez Padró, E., Francescangeli, M., Aguzzi, J., & del Rio, J. (2025). Labelled Images at OBSEA for Object Detection Algorithms [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14888328 Martínez Padró, E., Prat i Bayarri, O., Baños Castelló, P., Francescangeli, M., Toma, D. M., Nogueras-Cervera, M., Artero-Delgado, C., Carandell Widmer, M., Cadena Muñoz, F. J., Bghiel Bensalah, I., Batet Xaus, G., Aguzzi, J., & del Rio, J. (2025). AI-based fish detections at OBSEA Underwater Observatory [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14916451 Baños Castelló, P., Prat I Bayarri, O., Martínez Padró, E., Francescangeli, M., & del Rio, J. (2025). Underwater images from OBSEA fish detection training dataset (YOLO) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14888440. Pol, B., Oriol, P., Martínez Padró, E., & del Rio, J. (2025). OBSEA fish detector AI model (YOLO). Zenodo. https://doi.org/10.5281/zenodo.14910365 - Abyssal NE Pacific Seafloor Megafauna Dataset is available at: Erik Simon-Lledó, Amon, D. J., Bribiesca-Contreras, G., Daphne Cuvelier, Jennifer M. Durden, Sofia P. Ramalho, Katja Uhlenkott, Pedro Martinez Arbizu, Noëlie Benoist, Jonathan Copley, Thomas G. Dahlgren, Adrian G. Glover, Bethany Fleming, Tammy Horton, Se-Jong Ju, Alejandra Mejia-Saenz, Kirsty McQuaid, Ellen Pape, Chailinn Park, … Daniel O. B. Jones. (2023). Abyssal NE Pacific Seafloor Megafauna Dataset (Versión 1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7982462 - Source code of the GUI visualization tool is available at https://github.com/BlueNetCat/OBSEA

Ecological InformaticsVol. 91
Life below water
Openalex Percentile: Top 7%
Underwater Vehicles and Communication Systems
3.44
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