ICE-LAPSE image dataset

######################################################## Image dataset acquired within the project "ICE-LAPSE: Analysis of Antarctic benthos dynamics by using non-destructive monitoring devices and permanent stations'', PNRA 2013/AZ1.16, funded by the Italian National Antarctic Progra...

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Bibliographic Details
Main Authors: Simone Marini, Federico Bonofiglio, Lorenzo Paolo Corgnati, Andrea Bordone, Stefano Schiaparelli, Andrea Peirano
Format: Dataset
Language:English
Published: 2022
Subjects:
Antarctica
Antarctic Benthic fauna
Long Term Monitoring
Automated Visual Monitoring
Automated Image Anlaysis
Underwater Images
Underwater Observing System
Antarctic
Genova
Mario Zucchelli
Mario Zucchelli Station
Tethys Bay
Antarc*
Online Access:https://zenodo.org/record/7318531
https://doi.org/10.5281/zenodo.7318531
Description
Summary:######################################################## Image dataset acquired within the project "ICE-LAPSE: Analysis of Antarctic benthos dynamics by using non-destructive monitoring devices and permanent stations'', PNRA 2013/AZ1.16, funded by the Italian National Antarctic Program. The dataset is in support of the publication entitled: Long-term Automated Visual Monitoring of Antarctic Benthic Fauna Simone Marini 1,2∗ , Federico Bonofiglio 1 , Lorenzo P. Corgnati 1 , Andrea Bordone 3, Stefano Schiaparelli 4 , Andrea Peirano 3 1 National Research Council of Italy (CNR), Institute of Marine Sciences, La Spezia, 19132, Italy, 2 Stazione Zoologica Anton Dohrn, Naples, 80121, Italy 3 ENEA-Marine Environment Research Centre, La Spezia, 19132, Italy 4 DISTAV, Università di Genova, Genova, 16132, Italy ∗E-mail: simone.marini@sp.ismar.cnr.it. Related Scientific Publications: Marini, S., Bonofiglio, F., Corgnati, L. P., Bordone, A., Schiaparelli, S., & Peirano, A. (2022). Long-term automated visual monitoring of Antarctic benthic fauna. Methods in Ecology and Evolution, 00, 1– 19. https://doi.org/10.1111/2041-210X.13898 ######################################################## The dataset consists of the following files: - Raw_Images.tgz contains the images in CR2 format - JPG_Images.tgz contains the images in JPG format - 640x427_Images.tgz contains the images in JPG format, with resolution 640x427 Pixels - ICE-LAPSE_Tags.tgz contains - the textual_Tags folder, - the Tagged_Images folder, - the SpeciesColorLabel image representing the legend for the tagged images contained in the Tagged_Images folder - the SpeciesDistribution.csv spreadsheet listing the species for each image - iFDO_Dataset.tgz contains the images renamed according to the iFDO standard - Deployment in Tethys bay - Mario Zucchelli Station- 2015_GUARD1-PNRA-2015_iFDO.yaml contains the iFDO metadata information.

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