Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures

DOI

This dataset features both data and code related to the research article titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective Dissolution in Water-Filled Fractures." It includes raw data packaged in tarball format, including Python scripts used to derive the results presented in the publication. High-resolution raw data for contour plots is available upon request.

1
Download the Dataset:

    Download the dataset file using Access Dataset.
    Ensure you have sufficient disk space available for storing and processing the dataset.



2
Extract the Dataset:

    Once the dataset file is downloaded, extract its contents.
    The dataset is compressed in a tar.xz format. Use appropriate tools to extract it. For example, in Linux, you can use the following command:
     tar -xf Publication_CCS.tar.xz
     tar -xf Publication_Karst.tar.xz
     tar -xf Validation_Sim.tar.xz

    This will create a directory containing the dataset files.




3
Install Required Python Packages:

    Before running any code, ensure you have the necessary Python (version 3.10 tested) packages installed. The required packages and their versions are listed in the requirements.txt file.
    You can install the required packages using pip:
        pip install -r requirements.txt





4
Run the Post Processing Script:

    After extracting the dataset and installing the required Python packages, you can run the provided post processing script.
    The post processing script (post_process.py) is designed to replicate all the plots from a publication based on the dataset.
    Execute the script using Python:
        python3 post_process.py

    This script will generate the plots and output them to the specified directory.




5
Explore and Analyze:

    Once the script has completed running, you can explore the generated plots to gain insights from the dataset.
    Feel free to modify the script or use the dataset in your own analysis and experiments.

High-resolution data, such as the vtu's for contour plots is available upon request; please feel free to reach out if needed.

6
Citation:

    If you use this dataset in your research or publication, please cite the original source appropriately to give credit to the authors and contributors.
Identifier
DOI https://doi.org/10.18419/darus-4143
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-4143
Provenance
Creator Keim, Leon ORCID logo; Class, Holger ORCID logo
Publisher DaRUS
Contributor Keim, Leon; LH2 RDM
Publication Year 2024
Funding Reference DFG EXC 2075 - 390740016 ; DFG 327154368 - SFB 1313
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Keim, Leon (Universität Stuttgart); LH2 RDM (Universität Stuttgart)
Representation
Resource Type Dataset
Format image/png; application/x-xz; video/mp4; text/x-python; text/plain
Size 98836; 14858; 18085; 16664; 79109; 155042; 159631; 107729; 39176092; 1448981; 61826; 211293; 46928; 51504416; 40151144; 80446; 144; 22672408; 62058
Version 1.0
Discipline Construction Engineering and Architecture; Earth and Environmental Science; Engineering; Engineering Sciences; Environmental Research; Geosciences; Natural Sciences