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Data · dataset · 2026

Dataset for Quasi-Static Pore-Network Modeling for Evaporation-Driven Salt Transport and Precipitation in Porous Media

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This dataset contains the processed source data and self-contained plotting scripts for regenerating the data-backed figures in the manuscript Quasi-Static Pore-Network Modeling for Evaporation-Driven Salt Transport and Precipitation in Porous Media.

Description

The archival source data are provided in data/wrr_figure_source_data_v1.zip. The archive contains plot-ready CSV files for quantitative figures and ASCII VTP pore-network snapshots with matching pore/throat CSV exports for rendered network figures.

The scripts folder contains the plotting entry point and per-figure scripts. The docker folder provides a reproducible software environment. 1. Reproducing figures with Docker After downloading and extracting the dataset, build the Docker image from the dataset root: docker build -t wrr-figures -f docker/Dockerfile .

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Regenerate one figure, for example Figure 7: docker create --name wrr-figures-run wrr-figures plot 7 docker start -a wrr-figures-run docker cp wrr-figures-run:/outputs ./outputs docker rm wrr-figures-run Regenerate the fast CSV-only figures: docker create --name wrr-figures-run wrr-figures plot fast docker start -a wrr-figures-run docker cp wrr-figures-run:/outputs ./outputs docker rm wrr-figures-run Regenerate all scriptable data-backed figures: docker create --name wrr-figures-run wrr-figures plot all docker start -a wrr-figures-run docker cp wrr-figures-run:/outputs ./outputs docker rm wrr-figures-run The regenerated PNG and PDF files are written to outputs/.

The Docker image uses preview rendering settings by default. For high-resolution manuscript-style rendering, override WRR_DPI, WRR_TILE_PX, and WRR_SHOT_SCALE. 2. Reproducing figures without Docker Users who prefer a local Python environment can install the required packages and call the same plotting entry point: python3 -m pip install -r docker/requirements.txt python3 scripts/plot.py 7 --output-dir outputs python3 scripts/plot.py all --output-dir outputs 3.

Notes

Conceptual manuscript Figures 1-4 are schematic drawings and are not regenerated from this dataset. See README.md and metadata/files.md for the full file inventory, data dictionary, and detailed reproduction instructions.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Geoinformatics 68% · Image 75%
Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
DaRUSdoi:10.18419/DARUS-613013 d agoJSON v1
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concepts[field].dataverse_subject:earth-and-environmental-sciencessource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[field].dataverse_subject:engineeringsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[field].local:field:engineeringmapping · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[modality].local:modality:imageenrichment · darus uni stuttgart dekeyword-concept-rules@1.0.0title+description (75%)
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