Research Data Repository of Saxon Universities
OPARA is the Open Access Repository and Archive for Research Data of Saxon Universities.
Researchers of Saxon Universities can either publish their research data on OPARA, or archive it here to comply with requirements of funding acencies and good scientic practice, without public access.
You can find the documentation of this service at the ZIH Data Compendium websites. If you need suppourt using OPARA please contact the Servicedesk of TU Dresden.
Please note: The OPARA service was recently upgraded to a new technical platform (this site). Previously stored data will not be available here immediately. It can be found at the still active old version of OPARA. These stock 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.
Communities in OPARA
Select a community to browse its collections.
Recent Submissions
Operational characteristics of a representative Hollow Cathode Electron Emitter (HCE) device with C12A7:e- emitter
(Technische Universität Dresden, 2025-12-19) Berka, Elisabeth; Wulfkühler, Jan-Philipp; Tajmar, Martin
Ignition and operation testing of the hollow cathode electron emitter (HCE) designed at the Institute of Aerospace Engineering of TUD Dresden University of Technology for the E.T.PACK-Fly in-orbit demonstration (IOD) mission with a C12A7:e- electron emitter. Testing conducted in triode mode with different laboratory electronics (e.g., 100–300 µF), krypton gas, and variable operating parameters (i.e., emission current and mass flow rate).
Monitoring data to explore particle size distribution and elemental composition in a stormwater outlet from a German urban catchment
(Technische Universität Dresden, 2025-12-19) Benisch, Jakob; Rojas-Gómez , Karen L.; Helm, Björn; Borchardt, Dietrich; Krebs, Peter
This repository presents a dataset comprising online monitoring turbidity and discharge data measured with a high temporal resolution at the stormwater outlet of a small urban catchment in Dresden, Germany. Additionally, for selected rainfall-runoff events, the following data were produced: total suspended solids concentrations and their particle size distribution (<63 µm: fine particles; >63 µm: coarse fraction), their elemental composition and organic content. The online monitoring data covers January 2018 - August 2022, whereas the sampled data were collected during September 2018 - 2021. These data are optimal for exploring flush dynamics, transport patterns of particles and particle-bound pollutants, and for developing and validating particle transport formulations in urban drainage models. This will allow a better identification of stormwater treatment and management strategies to effectively address different pollutant flushes, to support regulatory decision-making, and to minimise the impact of stormwater discharges on the receiving water bodies.
Experimental procedure for the tests on the openLAB from 2025-05-05 to 2025-05-07
(Technische Universität Dresden, 2025-12-19) Richter, Bertram; Ulbrich, Lisa; Kielreiter, Anett; Jansen, Andreas; Röder, Robert; Walker, Maria; Jesse, Frank
This dataset presents the experimental campaign and monitoring data from the openLAB research bridge, a large-scale laboratory structure located in Bautzen, Germany.
The experimental campaign with damaging loading tests was carried out between 2025-05-05 and 2025-05-07 (inclusive).
The dataset includes the protocol of the measurement campaign, monitoring data for air temperature and structural temperature, humidity, solar radiation as well as tilt measurements.
Data are sourced from an electrical Gantner Instruments measurement system (Q.station 101T, with various Q.bloxx modules) and several testo 176 T4 data loggers.
Datasheets for all sensors and data loggers are provided.
The repository provides the data in Comma Separated Values (CSV) and Tab Separated Values (TSV) format.
Each file includes a header specifying the names of the data columns.
Additional details, such as units and sampling frequency, are provided in this README file.
Each CSV file contains a Timestamp column that records the time of each sample as a datetime string in ISO 8601 format, without time zone information.
All timestamps are in Coordinated Universal Time (UTC).
Sensor data is represented as decimal numbers.
The WoKaS-Iso Database: Workflow for a Global Compilation of Oxygen-18 and Deuterium Records in Karst Springs and Cave Drip Water for Enhanced Understanding of Karst Systems
(Technische Universität Dresden, 2025-12-19) Zang, Yining
For analysing karst hydrogeological systems, observations of karst springs and cave drips are considered indispensable. In addition to hydrometric observations, knowing the oxygen and hydrogen stable isotope ratios has improved the understanding of vadose zone and aquifer dynamics, likewise supporting system characterisation and modelling. However, limited accessibility and high costs of the analysis of stable isotopes in karst aquifers have hindered progress in karst research and impeded the accurate understanding of karst processes especially when it comes to comparative or large-scale studies. In this study, we present our workflow to compile the WoKaS-Iso database, the first extensive collection of time series data for Oxygen-18 and Deuterium isotopes in karst springs and cave drip water from diverse sources, encompassing publications, theses, reports, online archives, and collaborative initiatives worldwide. The database incorporates data sourced from 236 springs and 74 caves, comprising in total 1002 time series (381 time series for the springs and 621 time series for the cave drip water). These datasets provide coverage across significant karst regions globally, spanning China, the USA, Europe, the Middle East, and Australia. Within datasets, 79% for springs and 68% for cave drip water exhibit resolutions finer than monthly intervals. In addition, by integrating isotopic records with ancillary environmental variables including spring discharge, cave drip rate, precipitation, and rainwater isotopes, the database offers a more comprehensive perspective on hydrological behaviours in karst aquifers, hence advancing hydrogeological characterisation and modelling. The WoKaS-Iso database not only deepens the understanding of the complex systems but also promotes sustainable water resource management as well as the potential to foster collaborative research.
Dataset for object detection of charcoal kiln sites
(Technische Universität Dresden, 2025-12-18) Rünger, Carolin; Neubauer, Grit; Zamboni, Pedro; Van der Maaten-Theunissen, Marieke; Eltner, Anette
This dataset provides a collection of processed airborne LiDAR data and associated annotations of historical charcoal kiln sites in the Erzgebirgskreis district of Saxony, Germany for object detection. The starting point is raw LiDAR data, from which a digital terrain model (DTM) was first derived. Based on this, various DTM derivatives were calculated, which are used as three-channel input data (hillshade, slope and sky-view factor) for a convolutional neural network. The dataset includes training, validation and test data, including annotations, as well as trained model weights and configuration files for inference. In addition, model predictions for test areas in the Ore Mountains (Saxony) and for the Kermeter mountain range in the Rureifel (North Rhine-Westphalia) are included. To ensure reproducibility, suitable Conda environments for training and inference with MMDetection v2.28.2 are also provided.