Published March 6, 2023
| Version v1
Dataset
Open
ICELEARNING - Detection of ice core particles via deep neural networks
Creators
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Maffezzoli, Niccolò1
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Cook, Eliza2
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van der Bilt, Willem G. M.3
- Støren, Eivind N.3
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Festi4
- Muthreich, Florian5
- Seddon, Alistair W. R.5
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Burgay, François6
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Baccolo, Giovanni6
- Mygind, Amalie R. F.7
- Petersen, Troels7
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Spolaor, Andrea8
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Vascon, Sebastiano1
- Pelillo, Marcello1
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Ferretti, Patrizia1
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Reis, Rafael S.9
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Simões, Jefferson C.9
- Ronen, Yuval3
- Delmonte, Barbara10
- Viccaro, Marco11
- Steffensen, Jørgen Peder2
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Dahl-Jensen, Dorthe2
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Nisancioglu, Kerim H.3
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Barbante, Carlo1
- 1. Ca' Foscari University of Venice
- 2. Physics of Ice, Climate and Earth, Niels Bohr Institute, University of Copenhagen
- 3. University of Bergen
- 4. Daniela
- 5. Bjerknes Centre for Climate Research
- 6. Paul Scherrer Institute
- 7. Niels Bohr Institute, University of Copenhagen
- 8. Institute of Polar Sciences, ISP-CNR
- 9. Centro Polar e Climático, Universidade Federal do Rio Grande do Sul
- 10. University of Milano-Bicocca
- 11. Università degli Studi di Catania
Description
This dataset refers to the ICELEARNING project - Detection of ice core particles via deep neural networks, by Maffezzoli N. et al., The Cryosphere, 10.5194/tc-17-539-2023, 2023.
The main folder contains all TRAINING data.
The TEST data are contained in the folder /test.
Please refer to the icelearning GitHub repository for instructions.
Notes
For questions, contact niccolo.maffezzoli@unive.it
Files
icelearning.zip
Files
(5.9 GB)
| Name | Size | Download all |
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md5:0399e431a551111ea5025f15db0d01ac
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5.9 GB | Preview Download |
Additional details
Related works
- Is supplement to
- Journal article: 10.5194/tc-17-539-2023 (DOI)
Funding
References
- Maffezzoli, Niccolò, et al. "Detection of ice core particles via deep neural networks." The Cryosphere 17.2 (2023): 539-565.