source stringclasses 8
values | LBOct float64 0.74 1 | LBNov float64 0.63 1 | LM01 float64 0.5 1 | LM02 float64 0.47 1 | LM03 float64 0.52 1 | LM04 float64 0.25 1 | LC01 float64 0.87 1 | LC02 float64 0.5 1 |
|---|---|---|---|---|---|---|---|---|
LBOct | 1 | 0.974703 | 0.49942 | 0.465925 | 0.521799 | 0.251971 | 0.901519 | 0.498724 |
LBNov | 0.973367 | 1 | 0.568071 | 0.496058 | 0.545083 | 0.270027 | 0.920999 | 0.5236 |
LM01 | 0.796788 | 0.804172 | 1 | 0.837055 | 0.75772 | 0.795651 | 0.949176 | 0.669653 |
LM02 | 0.739467 | 0.670989 | 0.813054 | 1 | 0.961926 | 0.909563 | 0.872601 | 0.851523 |
LM03 | 0.777739 | 0.656511 | 0.892149 | 0.917923 | 1 | 0.966388 | 0.905831 | 0.921847 |
LM04 | 0.786002 | 0.680309 | 0.90364 | 0.894672 | 0.964549 | 1 | 0.91763 | 0.862119 |
LC01 | 0.848126 | 0.829289 | 0.872969 | 0.713384 | 0.725635 | 0.651951 | 1 | 0.626533 |
LC02 | 0.756387 | 0.625264 | 0.827557 | 0.94584 | 0.930459 | 0.867904 | 0.87124 | 1 |
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Deep Learning Enables Transferable Rheological Parameters for Landslide Runout Prediction
NORA Research Lab — Geoscience Dataset Suite
Branch: Structural Geology & Tectonics · Format: parquet · License: cc-by-4.0
About this dataset
This dataset from Zenodo contains numerical simulation results and deep-learning-based predictions used to investigate transferable rheological parameters for landslide runout modeling. The data include optimized rheological parameters, model performance metrics, and sensitivity analyses for multiple landslide scenarios under varying topographic and material conditions. They were generated using a physics-based shallow water equation framework coupled with a deep neural network to calibrate μ(I) friction law parameters. The
Source & Provenance
- Original source: Zenodo
- Original license: cc-by-4.0 — checked against NORA's redistribution policy before ingestion
- Original format: csv · Original size: 0.0 MB
- Converted format: parquet
- Ingested: 2026-10-28 by NORA's autonomous dataset pipeline
Files
data.parquet(0.0 MB)
How to load
from datasets import load_dataset
ds = load_dataset("NoraResearchLab/deep-learning-enables-transferable-rheological-parameters-fo")
Attribution
Please cite the original data provider per the terms of their license (see Source & Provenance above). This repository redistributes the data unmodified in content, converted only in file format.
Maintainer
- Downloads last month
- 27