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...

Descripción completa

Detalles Bibliográficos
Autores: Aguzzi, Jacopo, Chatzidouros, Elias, Chatzievangelou, Damianos, Clavel-Henry, Morane, Flögel, Sascha, Bahamon, Nixon, Tangherlini, Michael, Thomsen, Laurenz, Picardi, Giacomo, Navarro, Joan, Masmitja, Ivan, Robinson, Nathan J., Nattkemper, Tim W., Stefanni, Sergio, Quintana, Jose, Campos, Ricard, García, Rafael, Fanelli, Emanuela, Francescangeli, Marco, Mirimin, Luca, Danovaro, Roberto, Toma, Daniel M., Río, Joaquín del, Martínez, Enoc, Baños Castelló, Pol, Prat Bayarri, Oriol, Sarriá, David, Carandell, Matias, White, Jonathan, Parissis, Thomas, Panagiotidou, Stavroula, Quevedo Zabala, Juliana, Gallegati, Silvia, Grinyó, Jordi, Simon-Lledó, Erik, Company, Joan B., Doyle, Jennifer
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/403566
Acceso en línea:http://hdl.handle.net/10261/403566
Access Level:acceso abierto
Palabra clave:Marine monitoring
Robotic platforms
Data integration
Ecological indicators
Machine learning
Spatial modelling
http://metadata.un.org/sdg/14
Conserve and sustainably use the oceans, seas and marine resources for sustainable development
Descripción
Sumario: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

Similares en LA Referencia