Tropical Indian ocean annotated planktonic foraminifera image dataset from surface sediments ...

• Main Authors: Adebayo, Michael, Bolton, Clara, Marchant, Ross, Bassinot, Franck, Conrod, Sandrine, De-Garidel Thoron, Thibault
• Format: Dataset
• Language: unknown
• Published: SEANOE 2022
• Subjects: Planktonic foraminifera; tropical Indian Ocean; MiSo; Images; convolutional neural network; CNN; automated classification
• Online Access: https://dx.doi.org/10.17882/86411; https://www.seanoe.org/data/00752/86411/

The planktonic foraminifera images contained in this dataset come from coretops sampled in the tropical Indian Ocean using the RV Marion Dufresne and the BARAT 94 cruise onboard the RV Baruna Jaya I. The samples are archived at Centre Européen de Recherche et d'Enseignement de Géosciences de l'Environnement (CEREGE, France) and Laboratoire des Sciences du Climat et de l'Environnement (LSCE, France). The planktonic foraminifera specimens in this database are from the >150 μm sieve fraction and images were captured using MiSo, a state-of-the-art microfossil sorting machine developed at CEREGE. Since the telecentric lens used for image capturing had a field depth of approximately 90 μm and therefore cannot fully capture most foraminifera under view, the captured images were fused to produce Z-stack images. A 70 μm separation between images was adopted for the stack. All images were outputted at a resolution of 1159.4 pixels per millimetre. A Convolutional Neural Network model (Base Cyclic 16), also developed ...