Published June 1, 2025
| Version v2
Dataset
Open
Supplements for Inferring Long-Term Tectonic Uplift Patterns from Bayesian Inversion of Fluvially-Incised Landscapes paper
Description
Data and File Organization
1. Natural Landscapes (DEMs)
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Files:
.tiffiles containing Digital Elevation Models (DEMs) of real landscapes.
2. Synthetic Landscapes (DEMs)
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Files prefixed with
syn_contain synthetic DEMs created for inversion testing.
3. Climatic Data
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Directory:
climate_data -
Contains climate data for all natural landscapes
Code and Examples
For example scripts and the latest codebase, visit the GitHub repository:
đź”— https://github.com/baroryan/ChInversionLandscpes
Setup and Installation
We recommend using Python 3.11 in a clean conda environment.
Quick Setup Instructions:
conda create -n landscapes -c conda-forge python=3.11 xtensor-python pip
conda activate landscapes
pip install taichi
pip install numba
pip install pyscabbard
pip install daggerpy