Industrial legacies in a rapidly changing Arctic

The file Industrial_Legacies_Data.zip contains the database and source codes used to investigate the impact of permafrost thaw on industrial legacies in the Arctic: The "Data" folder contains several subfolders that are named by the figures in the paper "Thawing permafrost poses envir...

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Bibliographic Details
Main Authors: Langer, Moritz, Schneider von Deimling, Thomas, Oehme, Alexander
Format: Other/Unknown Material
Language:English
Published: Zenodo 2021
Subjects:
Online Access:https://doi.org/10.5281/zenodo.7579177
Description
Summary:The file Industrial_Legacies_Data.zip contains the database and source codes used to investigate the impact of permafrost thaw on industrial legacies in the Arctic: The "Data" folder contains several subfolders that are named by the figures in the paper "Thawing permafrost poses environmental threat to thousands of sites with legacy industrial contamination". In each of these folders all data files are provided to reproduce the underlying analysis and the figure itself. Furthermore the "Geospatial_DataCollection" folder contains the complete database used to analyze and visualize the occurences of industrial contamination in the Arctic. The "Scripts" folder contains several scripts that are again named by the figures in the paper. These scripts can be used to reproduce the analysis and to create the figures in the folder "Figures" and "Supplementary_Figures". Furthermore there are two scripts ("PermanentTalikYearAnalysis.py" and "TalikYearToShapefile.py") that were used to analyze the spatio-temporal talik development in the model domain. The file PanArctic_Simulations.zip includes the source code of the CryoGrid permafrost model (Julia Language v. 0.6.4) and a start script with all parameters and forcing data (JSON) required to run the model for industrial sites located in the Arctic permafrost region. Software: The Julia Language v.0.6.4 was used to run the simulations with the one-dimensional, transient permafrost model CryoGridLite. Furthermore, we used Python 3.7.4 for most of the data analysis and visualization. The point process modelling used to relate industrial and contaminated sites and to create intensity maps of contaminated sites in the Arctic permafrost region is based on R version 3.6.3. Supported by the German Federal Ministry of Education and Research (BMBF) grant no. 01LN1709A