Demonstration of CLASH - Climate-responsive Land Allocation model with carbon Storage and Harvests - Result data and data analysis scripts

<strong>Data + Analysis Package</strong> accompanying the CLASH Demonstration in<br> CLASH - Climate-responsive Land Allocation model with carbon Storage and Harvests<br> Source Code: https://doi.org/10.5281/zenodo.8271846 The <strong>Data</strong> comprises 20 GDX files for the different demand scenarios:<em> CLASH_iterator_*******.gdx</em> demand variations of either wood products ("<em>wood</em>"), food crops ("<em>crop</em>"), bioenergy crops ("<em>bioE</em>") or animal products ("<em>anim</em>") demand variation extent of either baseline ("<em>+00</em>"), +10% or -10% compared to baseline demand in 2100 ("<em>+10</em>" or "<em>-10</em>"), or +50% or -50% compared to baseline demand in 2100 ("<em>+50</em>" or "<em>-50</em>") The <strong>Data Analysis Kit</strong> is offered for python and comprises YML file for environment dependencies ("<em>CLASH_Demonstration_Env.yml</em>") GDX initialization file with many useful methods and dictionaries ("<em>initialize_gdx_analysis.py</em>") Analysis file with many plots and further analysis which allow to reproduce the figures presented in the paper in ipython jupyter notebook format ("<em>CLASH_Demo_20DemandScenarios.ipynb</em>") Please refer to the <strong>README file </strong>for additional information.