Degradation of Small Simple and Large Complex Lunar Craters: Not a Simple Scale-dependence
收藏NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://data.mendeley.com/datasets/xphn7c7scs
下载链接
链接失效反馈官方服务:
资源简介:
We simulated the surface evolution for a pre-Nectarian surface unit and found that relative to their size, large complex craters are less destructive to the surrounding terrain than small simple craters.
The data is structured as follows:
01_CTEM_Outputs
- .dat files in which the craters from the simulations are stored
- Python script to convert the .dat files to shapefiles
02_Shapefiles_From_CTEM_Outputs
- Shapefiles in which the craters from the simulations are stored
- Shapefile of the surrounding area (created manually)
03_CSFD_Measurements
- A modified version of CSFD Tools to conduct Cartesian crater size-frequency distribution measurements
- .scc files which contain the results from the Traditional Crater Counting and Non-sparseness Correction techniques (for further analysis in Craterstats)
04_Crater_Statistics
- .stat files which contain crater size-frequency distribution statistics (obtained from the Craterstats software)
05_Crater_Equilibrium
- simplified .stat files which contain cumulative number density information
- Python script to fit a power law function to the simplified .stat files
06_Geometric_Saturation_Levels
- .stat files which contain crater size-frequency distribution statistics (obtained from the Craterstats software)
- Python script to calculate geometric saturation levels from .stat files
- .txt files containing geometric satration levels
Data by Orgel et al. (2018) are availiable here: http://www.planet.geo.fu-berlin.de/Orgel_etal_2017_Lunar_basins.zip
创建时间:
2020-03-17



