From c207b3d9c91e6250f7dd126e25811b501e6ed28d Mon Sep 17 00:00:00 2001 From: Mads Lorentzen Date: Mon, 11 May 2026 10:11:47 +0200 Subject: [PATCH] Link superposed-folds entry to archived UCD papermodels page The original UCD Fault Analysis Group page is currently unreachable, so point the "UCD papermodels" mention at the 2023-05-13 Wayback Machine snapshot. Co-Authored-By: Claude Opus 4.7 (1M context) --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 5912e81..266c5f7 100644 --- a/README.md +++ b/README.md @@ -168,7 +168,7 @@ Awesome software projects sub-categorized by focus. - [OpenStereo](https://github.com/spamlab-iee/os) – ![Python](media/icon/python.png) An open source, cross-platform structural geology analysis software. - [Stress_state_plot](https://github.com/mkondratyev85/stress_state_plot) – ![Python](media/icon/python.png) An open source structural geology package for visualisation of a given stess-state via matplotlib. - [Romsa-py](https://github.com/bciscato/romsa-py) – ![Python](media/icon/python.png) ROMSA (Right Dihedra Method Stress Analysis) is a high-performance Python tool for determining paleostress orientations from fault-slip data. -- [superposed-folds](https://github.com/MadsLorentzen/superposed-folds) – ![Python](media/icon/python.png) Interactive Streamlit playground and Python library for superposed folds, implementing the Ramsay & Lisle (2000) plane-strain equations and the Grasemann et al. (2004) classification, ported from Martin Schöpfer's UCD papermodels. +- [superposed-folds](https://github.com/MadsLorentzen/superposed-folds) – ![Python](media/icon/python.png) Interactive Streamlit playground and Python library for superposed folds, implementing the Ramsay & Lisle (2000) plane-strain equations and the Grasemann et al. (2004) classification, ported from Martin Schöpfer's [UCD papermodels](https://web.archive.org/web/20230513083527/https://www.fault-analysis-group.ucd.ie/SuperPosedFolds/Superposed_PM_Index.html). ### Visualization - [cmocean](https://matplotlib.org/cmocean) – ![Python](media/icon/python.png) MatPlotLib collection of perceptual colormaps for oceanography. - [Colorcet](https://github.com/holoviz/colorcet) – ![Python](media/icon/python.png) Perceptual colormaps.