https://opara.zih.tu-dresden.de/xmlui/handle/123456789/166 2026-04-08T09:47:47Z https://opara.zih.tu-dresden.de/xmlui/handle/123456789/1625 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 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. 2019-01-01T00:00:00Z https://opara.zih.tu-dresden.de/xmlui/handle/123456789/1329 Supplemental Material to "Evaluation of Decentralized, Closely-Spaced Precipitation Water and Treated Waste Water Infiltration" in Journal "Water": Precipitation water and treated wastewater infiltration - scripts for model result data preparation, processing and assessment Engelmann, Christian; Händel, Falk Data includes water contents and concentrations of selected observation points as well as cumulated mass fluxes at selected flux lines generated by different Hydrus 2D/3D numerical models. Location of observation points and flux lines as well as numerical model properties can be accessed from article: Evaluation of Decentralized, Closely-Spaced Precipitation Water and Treated Waste Water Infiltration by Händel et al. as submitted to Journal "Water" in 2018. These data has been used in the Python script for data preparation, processing, assessment and visualization. 2018-01-01T00:00:00Z https://opara.zih.tu-dresden.de/xmlui/handle/123456789/1296 Snow tracer - Observation and model simulations for laboratory and field experiments Binder, Martin 2018-01-01T00:00:00Z