Relevant Python scripts for the manuscript "Quantification of uncertainties from image processing and analysis in laboratory-scale DNAPL migration experiments evaluated by reflective optical imaging" in Journal "Water"

Engelmann, Christian

Relevant Python scripts for the manuscript "Quantification of uncertainties from image processing and analysis in laboratory-scale DNAPL migration experiments evaluated by reflective optical imaging" in Journal "Water"

datacite.FundingReference.funderName datacite.FundingReference.funderName	Deutsche Forschungsgemeinschaft
Contributing person datacite.contributor.ProjectLeader	Marc, Walther (orcid: 0000-0002-3180-1551)
Type of the data datacite.resourceTypeGeneral	Other
Total size of the dataset datacite.size	256771392
Author dc.contributor.author	Engelmann, Christian
Upload date dc.date.accessioned	2019-09-25T13:45:38Z
Publication date dc.date.available	2019-09-25T13:45:38Z
Publication date dc.date.available	2026-05-19T14:50:36Z
Data of data creation dc.date.created	2019
Publication date dc.date.issued	2019-09-25
Abstract of the dataset dc.description.abstract	This data collection includes the Python script used for image processing and analysis as described in the article "Quantification of uncertainties from image processing and analysis in laboratory-scale DNAPL migration experiments evaluated by reflective optical imaging" by Engelmann et al. submitted to Journal "Water" in 2019. Exemplary raw images generated from laboratory-scale tank experiments for DNAPL migration are included as well.
Public reference to this page dc.identifier.uri	https://opara.zih.tu-dresden.de/handle/123456789/2357
Public reference to this page dc.identifier.uri	https://doi.org/10.25532/OPARA-39
dc.language dc.language	eng
Publisher dc.publisher	Technische Universität Dresden
Licence dc.rights	Attribution 4.0 International
URI of the licence text dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
Specification of the discipline(s) dc.subject.classification	3::34
Title of the dataset dc.title	Relevant Python scripts for the manuscript "Quantification of uncertainties from image processing and analysis in laboratory-scale DNAPL migration experiments evaluated by reflective optical imaging" in Journal "Water"
Underlying research object opara.descriptionObject.Substance	non-aqueous phase liquids migrating within porous media
Software opara.descriptionSoftware.ResourceProcessing	Python (Version 3.x)
Project abstract opara.project.description	Goal: Characterise the influence of aquifer properties and external stresses on DNAPL source zone architecture by deriving transformation techniques to convert complex to effective source geometries through a combination of laboratory-scale experiments and numerical modelling. Partners are the Helmholtz-Centre for Environmental Research-UFZ, the Indian Institute of Technology Delhi, the Department of Civil and Environmental Engineering at the University of Illinois Urbana-Champaign, U.S., and the Faculty of Civil, Architectural and Environmental Engineering at the University of Texas at Austin, U.S.
Project title opara.project.title	DFG-Sachbeihilfe "Effective contaminant source geometries and their implications for final plume extension - ESTIMATE" 2018 - 2020

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