Dataset to: Global Mapping of Fragmented Rocks on the Moon with a Neural Network: Implications for the Failure Mode of Rocks on Airless Surfaces
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Project description
Supplementary data to Ruesch & Bickel (2023): Global Mapping of Fragmented Rocks on the Moon with a Neural Network: Implications for the Failure Mode of Rocks on Airless Surfaces
Data Availability
Open
DOI
Languages
English
Boris Publication
Global Mapping of Fragmented Rocks on the Moon with a Neural Network: Implications for the Failure Mode of Rocks on Airless Surfaces
Related Publication
| DOI | URL | URN |
File(s)
| File | File Type | Format | Size | License | Publisher/Copright statement | Content | |
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| Ruesch_and_Bickel_2023_fractured_CT04_cluster.csv | research data | CSV | 36.09 MB | ||||
| ReadMe.txt | research data | Text | 4.19 KB | ||||
| Ruesch_and_Bickel_2023_fractured_CT04_cluster_Part1.zip | research data | ZIP | 1.31 GB | ||||
| Ruesch_and_Bickel_2023_fractured_CT04_cluster_Part2.zip | research data | ZIP | 988.15 MB |
Supplementary File(s)
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DTA file(s)
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