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...
Main Authors: | , , , , , |
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Format: | Dataset |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://zenodo.org/record/6418164 https://doi.org/10.5281/zenodo.6418164 |
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. Under review on Methods in Ecology and Evolution (https://besjournals.onlinelibrary.wiley.com/journal/2041210x) ######################################################## The dataset consists of four .tgz archives, structured as in the following: - Raw_Images contains the images in CR2 format - JPG_Images contains the images in JPG format - 640x427_Images contains the images in JPG format, with resolution 640x427 Pixels - ICE-LAPSE_tags 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 |
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