ICE-LAPSE image dataset
Creators
- 1. National Research Council of Italy (CNR), Institute of Marine Sciences, La Spezia, 19132, Italy
- 2. ENEA-Marine Environment Research Centre, La Spezia, 19132, Italy
- 3. DISTAV, Università di Genova, Genova, 16132, Italy
Description
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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.
HOW TO CITE:
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
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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
Files
Files
(23.4 GB)
Name | Size | Download all |
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md5:dee433e078320ee68d69ac3e1eaf4e33
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72.3 MB | Download |
md5:7dac02c0b074a225387079b7f7676e76
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2.7 GB | Download |
md5:7456c46b040192692a2bde0a72789f4f
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2.0 GB | Download |
md5:a2b42a864babf2883ed5a5cb4e851cf9
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18.6 GB | Download |