| Title: | Dataset to: Global Mapping of Fragmented Rocks on the Moon with a Neural Network: Implications for the Failure Mode of Rocks on Airless Surfaces | 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 |
Contact: | Bickel, Valentin Tertius  |
Contributor(s): | Bickel, Valentin Tertius |
DOI: | https://doi.org/10.48620/224 | Organization(s): | Center for Space and Habitability (CSH) ETH Zurich University of Münster |
Language(s): | en | Subject(s): | 500 - Science > 520 - Astronomy 500 - Science > 550 - Earth sciences & geology |
Keyword(s): | Moon boulder fragmentation landscape evolution machine learning object detection |
Rights: | CC-BY-NC-SA |
| Appears in Collections: | Research Data |
Files in this item:
| Upload Step | File | Rights | Size | Format | |
|---|---|---|---|---|---|
| Data Upload | Ruesch_and_Bickel_2023_fractured_CT04_cluster.csv | CC-BY-NC-SA | 36.1 MB | CSV | View/Open |
| Data Upload | Ruesch_and_Bickel_2023_fractured_CT04_cluster_Part1.zip | CC-BY-NC-SA | 1.3 GB | ZIP | View/Open |
| Data Upload | Ruesch_and_Bickel_2023_fractured_CT04_cluster_Part2.zip | CC-BY-NC-SA | 988.1 MB | ZIP | View/Open |
| Data Upload | ReadMe.txt | CC-BY-NC-SA | 4.2 KB | Text | View/Open |
