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 You are visiting the outdated OPARA website.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.
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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"
(Technische Universität Dresden, 2019)
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 ...
Benchmark dataset using historical images for an automated evaluation of feature matching methods
(Technische Universität Dresden, 2019)
Image dataset to the submitted ISPRS GSW2019 publication "Generation of a benchmark dataset using historical photographs for an automated evaluation of different feature matching methods". This dataset contains eight triples ...
Accompanying materials for the publication: "Identifying and quantifying geogenic organic carbon in soils - the case of graphite" - Data underlying figures and tables
(Technische Universität Dresden, 2019)
Final results derived from the described methods and used to create the figures in: https://doi.org/10.5194/soil-5-1-2019
FTIR spectra
(Technische Universität Dresden, 2019)
FTIR curves of the calibration sets, graphitic schist and artificial soil samples. This data was used as described in section 2.2.1.
Accompanying materials for the publication: "Identifying and quantifying geogenic organic carbon in soils – the case of graphite" - TGA thermograms
(Technische Universität Dresden, 2019)