Code for "Unexplored Antarctic meteorite collection sites revealed through machine learning"
This archive provides scripts related to the following publication: V. Tollenaar, H. Zekollari, S. Lhermitte, D. Tax, V. Debaille, S. Goderis, P. Claeys, F. Pattyn, Unexplored Antarctic meteorite collection sites revealed through machine learning. Science Advances 8, eabj8138 (2022). DOI: 10.1126/sc...
Main Authors: | , , , , , , , |
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Format: | Software |
Language: | unknown |
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Zenodo
2021
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Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.5749974 https://zenodo.org/record/5749974 |
Summary: | This archive provides scripts related to the following publication: V. Tollenaar, H. Zekollari, S. Lhermitte, D. Tax, V. Debaille, S. Goderis, P. Claeys, F. Pattyn, Unexplored Antarctic meteorite collection sites revealed through machine learning. Science Advances 8, eabj8138 (2022). DOI: 10.1126/sciadv.abj8138 Contact: Veronica Tollenaar, Veronica.Tollenaar@ulb.be Users should cite the original publication when using all or part of the code. About the scripts: it includes the code to generate all results presented in the corresponding publication, as well an additional, user-oriented variant of the code that allows to directly classify a defined set of positive and unlabeled data as positive and negative observations. Further information is provided in the README.md file. Datasets needed to perform the analyses are provided at https://zenodo.org/record/5749752, or at external locations indicated in the references section of the publication. |
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