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Peer-reviewedCC BY-NC-ND 4.0Scientific Data

Cet.CT-Bank: A Postmortem Computed Tomography Imaging Data of Stranded Cetaceans from the Canary Islands

  1. 1Unit of Veterinary Histology and Pathology, University Institute of Animal Health and Food Safety (IUSA), Veterinary School, University of Las Palmas de Gran Canaria (ULPGC), 35413 Las Palmas de Gran Canaria, Spain
  2. 2Signals and Communications Department (DSC), Institute for Technological Development and Innovation in Communications (IDeTIC), University of Las Palmas de Gran Canaria (ULPGC), 35017 Las Palmas de Gran Canaria, Spain

Abstract

Post-mortem computed tomography (PMCT) has become an increasingly important tool in cetacean stranding investigation, providing reusable, three-dimensional data of internal anatomical structures. Here, we present Cet.CT-Bank, a PMCT imaging dataset derived from stranded cetaceans recovered along the Canary Islands coast. The dataset comprises eight odontocete specimens representing six cetacean species, scanned using standardized CT protocols and stored as DICOM files with complete acquisition and reconstruction metadata. Each case is accompanied by automatically generated validation reports, ensuring traceability and reproducibility of the imaging data. Biological and pathological information is provided within this data descriptor and its supplementary materials to support integrative interpretation. Cet.CT-Bank is intended as an open, reusable imaging resource for morphological research, veterinary pathology, forensic investigation, and the development and validation of computational image analysis methods, including applications in computational image analysis, with potential relevance for future artificial intelligence–based approaches.

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BibTeX
@article{suarezsantana2026cetctbank,
  title = {{Cet.CT-Bank: A Postmortem Computed Tomography Imaging Data of Stranded Cetaceans from the Canary Islands}},
  author = {Cristian M. Suárez-Santana and Francesco M. A. Consoli and Paula Alonso-Almorox and Alonso Reyes-Matute and Manuel Arbelo and Ruymán Hernández-López and Carlos M. Travieso-González and Miguel A. Rivero and Antonio Fernández},
  journal = {Scientific Data},
  year = {2026},
  month = jul,
  doi = {10.1038/s41597-026-07896-8},
  url = {https://doi.org/10.1038/s41597-026-07896-8},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Cet.CT-Bank: A Postmortem Computed Tomography Imaging Data of Stranded Cetaceans from the Canary Islands
AU  - Cristian M. Suárez-Santana
AU  - Francesco M. A. Consoli
AU  - Paula Alonso-Almorox
AU  - Alonso Reyes-Matute
AU  - Manuel Arbelo
AU  - Ruymán Hernández-López
AU  - Carlos M. Travieso-González
AU  - Miguel A. Rivero
AU  - Antonio Fernández
PY  - 2026
DA  - 2026/07/15
JO  - Scientific Data
DO  - 10.1038/s41597-026-07896-8
UR  - https://doi.org/10.1038/s41597-026-07896-8
AB  - Post-mortem computed tomography (PMCT) has become an increasingly important tool in cetacean stranding investigation, providing reusable, three-dimensional data of internal anatomical structures. Here, we present Cet.CT-Bank, a PMCT imaging dataset derived from stranded cetaceans recovered along the Canary Islands coast. The dataset comprises eight odontocete specimens representing six cetacean species, scanned using standardized CT protocols and stored as DICOM files with complete acquisition and reconstruction metadata. Each case is accompanied by automatically generated validation reports, ensuring traceability and reproducibility of the imaging data. Biological and pathological information is provided within this data descriptor and its supplementary materials to support integrative interpretation. Cet.CT-Bank is intended as an open, reusable imaging resource for morphological research, veterinary pathology, forensic investigation, and the development and validation of computational image analysis methods, including applications in computational image analysis, with potential relevance for future artificial intelligence–based approaches.
SN  - 2052-4463
ER  -