ICE-LAPSE image dataset

<p>########################################################</p> <p>Image dataset acquired within the project &quot;ICE-LAPSE: Analysis of Antarctic benthos dynamics by using non-destructive monitoring devices and permanent stations&#39;&#39;, PNRA 2013/AZ1.16, funded by the Italian National Antarctic Program.</p> <p>The dataset is in support of the publication entitled:</p> <p>Long-term Automated Visual Monitoring of Antarctic Benthic Fauna</p> <p>Simone Marini 1,2&lowast; , Federico Bonofiglio 1 , Lorenzo P. Corgnati 1 ,<br> Andrea Bordone 3, Stefano Schiaparelli 4 , Andrea Peirano 3</p> <p>1 National Research Council of Italy (CNR), Institute of Marine Sciences, La Spezia, 19132, Italy,<br> 2 Stazione Zoologica Anton Dohrn, Naples, 80121, Italy<br> 3 ENEA-Marine Environment Research Centre, La Spezia, 19132, Italy<br> 4 DISTAV, Universit&agrave; di Genova, Genova, 16132, Italy</p> <p>&lowast;E-mail: simone.marini@sp.ismar.cnr.it.</p> <p>&nbsp;</p> <p>Related Scientific Publications:</p> <p>Marini, S., Bonofiglio, F., Corgnati, L. P., Bordone, A., Schiaparelli, S., &amp; Peirano, A. (2022). Long-term automated visual monitoring of Antarctic benthic fauna. <em>Methods in Ecology and Evolution</em>, 00, 1&ndash; 19. <a href="https://doi.org/10.1111/2041-210X.13898">https://doi.org/10.1111/2041-210X.13898</a></p> <p>&nbsp;</p> <p>########################################################</p> <p>The dataset consists of the following files:</p> <p>- Raw_Images.tgz contains the images in CR2 format<br> - JPG_Images.tgz contains the images in JPG format<br> - 640x427_Images.tgz contains the images in JPG format, with resolution 640x427 Pixels<br> - ICE-LAPSE_Tags.tgz contains<br> &nbsp;&nbsp; &nbsp;- the textual_Tags folder,<br> &nbsp;&nbsp; &nbsp;- the Tagged_Images folder,<br> &nbsp;&nbsp; &nbsp;- the SpeciesColorLabel image representing the legend for the tagged images contained in the Tagged_Images folder<br> &nbsp;&nbsp; &nbsp;- the SpeciesDistribution.csv spreadsheet listing the species for each image</p> <p>- iFDO_Dataset.tgz contains the images renamed according to the iFDO standard</p> <p>- Deployment in Tethys bay - Mario Zucchelli Station- 2015_GUARD1-PNRA-2015_iFDO.yaml contains the iFDO metadata information.</p>