Simulation Results: Influence of spatial heterogeneity on microbial redox dynamics in the subsurface
<p>Simulation results, processed data generated using OGSBRNS and Python to submit for publication.</p> <p>Details on files and their application are available in the README file.</p> <p>Filename format:</p> <p>Tec files generated from simulations using OGSBRNS:</p> <p><Flow_regime>AR_0_NS-A<heterogeneity_scenario>_model_domain_quad.tec</p> <p>Processed tec files stored in numpy arrays:</p> <p><Flow_regime>AR_<time_series>_NS-A<heterogeneity_scenario>_df.npy</p> <p>Flow_regime: varies between Slow, Equal and Fast</p> <p>heterogeneity_scenario: specifies spatial random fields generated using a Python package (gstools(R)). The number indicates the seed used for generating this field. 'H' indicates homogeneous domain.</p> <p>Processed data and associated scripts are available in a Git repository. Please reach out to the author for access.</p>
ShareScore
12/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 0
- Reuse readiness
- 0
- Engagement
- 0
Topics
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