The OPARA service was recently upgraded to a new technical platform. You are visiting the outdated OPARA website. Please use https://opara.zih.tu-dresden.de/ for new data submissions. Previously stored data will be migrated in near future and then the old version of OPARA will finally be shut down. Existing DOIs for data publications remain valid.
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"
Metadata
| Other contributing persons, institutions or organisations | dfg - Funder | |
| Other contributing persons, institutions or organisations | Marc, Walther - TU Dresden (orcid: https://orcid.org/0000-0002-3180-1551) - ProjectLeader | |
| Person(s) who is (are) responsible for the content of the research data | Engelmann, Christian | |
| Research objects | Substance: non-aqueous phase liquids migrating within porous media | |
| 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. | |
| Language | eng | |
| Year or period of data production | 2019 | |
| Publication year | 2019 | |
| Publisher | Technische Universität Dresden | |
| References on related materials | IsPartOf: 123456789/1624 (Handle) | |
| Content of the research data | Workflow: Python scripts for image processing and analysis | |
| Holder of usage rights | Technische Universität Dresden | |
| Usage rights of the data | CC-BY-4.0 | |
| Software | Resource Processing: Python 3.x | |
| Discipline(s) | Geological Science | de |
| Discipline(s) | Environmental Science and Ecology | de |
| Title of the dataset | 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" |
Files in this item
This item appears in the following Collection(s)
-
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" [1]
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.