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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2020
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2020
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2020
Data sources: ZENODO
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Simulation Results: Influence of spatial heterogeneity on microbial redox dynamics in the subsurface

Research datakeyboard_double_arrow_right Dataset 24 Nov 2020Publisher:Zenodo
Authors: Khurana, Swamini; Heße, Falk; Hildebrandt, Anke; Thullner, Martin;

doi: 10.5281/zenodo.4288721 , 10.5281/zenodo.4288722

Simulation Results: Influence of spatial heterogeneity on microbial redox dynamics in the subsurface

Abstract

Simulation results, processed data generated using OGSBRNS and Python to submit for publication. Details on files and their application are available in the README file. Filename format: Tec files generated from simulations using OGSBRNS: <Flow_regime>AR_0_NS-A<heterogeneity_scenario>_model_domain_quad.tec Processed tec files stored in numpy arrays: <Flow_regime>AR_<time_series>_NS-A<heterogeneity_scenario>_df.npy Flow_regime: varies between Slow, Equal and Fast 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. Processed data and associated scripts are available in a Git repository. Please reach out to the author for access.

Related Organizations
Keywords

microbial redox dynamics, Groundwater flow, Reactive transport modeling

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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