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 You are visiting the outdated OPARA website.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.
Auflistung Fakultät Umweltwissenschaften nach Titel
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Data set to the publication Vertical partitioning of CO2 production in a forest soil
(Technische Universität Dresden, 2020)The data belong to the publication Wordell-Dietrich, P., Don, A., Wotte, A., Rethemeyer, J., Bachmann, J., Helfrich, M., Kirfel, K., & Leuschner, C. (2019). Vertical partitioning of CO2 production in a Dystric Cambisol. ... -
Dataset (video sequences and orientation information) to measure river surface flow velocities
(Technische Universität Dresden, 2019) -
Dataset: Image-based water stage measurement with deep learning
(Technische Universität Dresden, 2020)This dataset contains the results of the application of deep learning to classify water areas in images captured with a low-cost Raspberry Pi camera. Furthermore, the photogrammetrically measured 3D point cloud of the shore ... -
Evaluation of Trap Type and Attractant Composition for Potential Mass Trapping of Hylobius abietis
(Technische Universität DresdenProfessur für Waldschutz, 2023)data repository for the manuscript "Evaluation of Trap Type and Attractant Composition for Potential Mass Trapping of Hylobius abietis" by Heber et al. (2023) -
Flow velocity tracking in thermal imagery
(Technische Universität Dresden, 2018)Image data set to the submitted WRR publication ”Evaluating Image Tracking Approaches for Surface Velocimetry with Thermal Tracers“. Lab_Experiments_Data file folder includes eight image sequences acquired in lab ... -
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. -
GNSS observations of Huawei P30 and a local reference station in RINEX format
(Technische Universität Dresden, 2020)The archive contains GNSS observations in RINEX format: of a smartphone Huawei P30, of a local reference station. They were collected in 8 static observation sessions with an overall duration of 77 h. -
GNSS observations of Huawei P30: raw data from GNSSLogger
(Technische Universität Dresden, 2020)The archive contains GNSS observations of a smartphone Huawei P30. They were collected in 8 static observation sessions with an overall duration of 77 h. These raw data sets were written by GNSSLogger. -
HistImage2021
(Technische Universität Dresden, 2021)Supplementary image dataset of the ISPRS International Journal of Geoinformation publication "Fully Automated Pose Estimation of Historical Images in the Context of 4D Geographic Information Systems Utilizing Machine ... -
Historical Greenland glacier calving front locations from 1973 until 2013
(Technische Universität Dresden, 2023)This product contains 170 Greenland glacier calving front positions from the following glaciers: Hagen Bræ, Helheim Glacier, Kangiata Nunaata Sermia, Nioghalvfjerdsbræ, Tracy Glacier and Zachariae Isstrøm. The glacier ... -
Manually delineated glacier calving front locations of 27 marine-terminating glaciers from 2013 to 2021
(Technische Universität Dresden, 2024)This dataset provides 898 manually delineated glacier calving front positions of 23 Greenland glaciers, two glaciers at the Antarctic Peninsula, one glacier in Svalbard and one glacier in Patagonia from 2013 to 2021. For ... -
Manually delineated glacier calving fronts of 23 Greenland and 2 Antarctic outlet glaciers from 2013 to 2021 and source code for automated extraction by deep learning
(Technische Universität Dresden, 2022)Supplementary material to the manuscript: Loebel, E., Scheinert, M., Horwath, M., Heidler, K., Christmann, J., Phan, L., Humbert, A., Zhu, X. (2022): Extracting glacier calving fronts by deep learning: the benefit of ... -
MatLab Code to simulate an Underwater Laser Triangulation System
(Hannes Sardemann, Professur für Photogrammetrie, Fakultät Umweltwissenschaften, Technische Universität Dresden, 2022)This is the MatLab Code of the Simulation Tool. Open the script simulation.m and run it with MatLab. By editing the input parameter (for exaple orientation and positon of camera, laser, interfaces and ground), you will get ... -
Measurement Images of an Underwater Laser Triangulation Sensor
(Technische Universität DresdenHannes Sardemann, Professur für Photogrammetrie, Fakultät Umweltwissenschaften, Technische Universität Dresden, 2022)Measurement images of an underwater laser triangulation experiment. A wreck model was scanned with the triangulation sensor. -
Measuring the transformation of biodegradable and inert COD fraction concentrations along flow path in combined sewer system
(Technische Universität Dresden - Faculty of Environmental Sciences - Department of Hydrosciences - Institute of Urban and Industrial Water Management, 2023)In wastewater from a combined sewer of the city of Dresden, the wastewater composition was determined using in-situ UV-Vis measurement technology and wet chemical analyzes from random samples as a reference. In addition, ... -
meinGrün Supplementary Materials for mCloud
(Technische Universität DresdenAlexander Dunkel, Madalina Gugulica, 2021)This collection includes Supplementary Materials from the IfK results for meinGrün, made available on mCloud: 1. Metadata Dresden dataset 2. Metadata Heidelberg dataset 3. Use Case Web Portal Heatmap "Großer Garten" -
Monitoring data for the publication "Fast inundation simulation with RIM2D for urban flood risk assessment and forecasting"
(Technische Universität Dresden, 2023)Monitoring data used for model calibration and evaluation from the Urban Observatory of the Chair of Urban Water Management -
Privacy-aware visualization of volunteered geographic information (VGI) to analyze spatial activity: A benchmark implementation
(Technische Universität Dresden, 2020)Supplementary Materials (release v0.1.0) -
Pyrolysis data to reveal molecular composition of peat and peat forming plants
(Technische Universität Dresden, 2020)Detailed data description can be found here: Zeh, L., Igel, T. M., Schellekens, J., Limpens, J., Bragazza, L., & Kalbitz, K. (2020). Vascular plants affect properties and decomposition of moss-dominated peat, particularly ... -
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 ...