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.

Artwork based on 1, 2, 3, 4  @pixabay
 

Communities in OPARA

Select a community to browse its collections.

Recent Submissions

Item
Open Access
Crack monitoring with DFOS: Distributed strain measurements with various DFOS/adhesive combinations and model development for strain peak prediction
(Technische Universität Dresden, 2025-07-10) Herbers, Max; Richter, Bertram; Marx, Steffen
Coherent optical frequency domain reflectometry (c-OFDR) enables continuous and automated crack monitoring in concrete structures due to its high spatial resolution and long sensing range. However, the selection of a suitable DFOS/adhesive combination (DAC) remains a key challenge and is typically based on empirical knowledge. As a result, the monitoring quality is highly dependent on the user’s experience. Inappropriate choices can result in undetected cracks, degraded signal quality, miscalculated crack widths, or even fiber breakage. This study proposes a semi-analytical model for predicting strain curves for arbitrary crack patterns, based on experimentally derived parameters, such as sensitivity, strain lag parameter, and the extent of bond disturbance due to transverse cracking. The model was validated using strain measurements from tests on reinforced concrete specimens with multiple cracks. With only a few input parameters, it enables accurate representation of crack-induced strain peaks and allows for the consideration of measurement limitations typical for c-OFDR systems. Based on this, design charts and an open source software tool were developed to support practitioners in the systematic selection of DACs, tailored to the expected crack pattern.
Item
Open Access
FairBotBench
(Hochschule für Technik und Wirtschaft Dresden, 2025-07-03) Janusko, Tamás; Bochnia, Ricardo; Hempel, Gunnar; Tomschke, Steffen; Anke, Jürgen; Thiele, Maik
This paper presents a concept for building a benchmark dataset to systematically evaluate chatbot responses in e-commerce with respect to ethical quality dimensions such as bias, toxicity and personalization. The core approach involves generating neutral base dialogues of varying lengths, which are then expanded into more problematic variants and enriched with linguistic diversity. The data is annotated by humans through a multi-stage process. The resulting dataset is intended to support the development and calibration of ethical AI components. To increase utility an english translation of the dataset is provided.
Item
Open Access
Dimensioning of Auxiliary Systems for Ammonia-Fueled Vessels
(Technische Universität Dresden, 2025-07-02) Christoff, Bruno
This dataset is part of NH3CRAFT Deliverable D5.4: Parametrized Test-Benchmark with Dataset of Desktop Studies. It contains the dimensioning of the main auxiliary systems for ammonia-fueled vessels. The dataset includes data for the dimensioning of the pipes, low- and high-pressure pumps, recirculation and buffer tanks, heaters and nitrogen supply requirements.
Item
Open Access
Estimation of fuel storage capacity for Ammonia-Fueled Vessels
(Technische Universität Dresden, 2025-07-02) Christoff, Bruno
This dataset is part of NH3CRAFT Deliverable D5.4: Parametrized Test-Benchmark with Dataset of Desktop Studies. It was generated using a MATLAB/Simulink model developed for a digital design platform supporting the conceptual development of ammonia-fueled ships. The dataset enables parametric studies focused on estimating the ammonia fuel storage capacity and operational profiles of vessels under different scenarios. The model estimates the fuel storage capacity considering the vessel’s operational profile, the vessel’s available installation spaces, and tank configuration options. The operational profile includes engine power, vessel speed, and days of operation. The vessel dimensions take into account the available installation spaces and the breadth of the vessel. Several tank configuration options are explored, including the use of Twenty-foot Equivalent Unit (TEU) and Forty-foot Equivalent Unit (FEU) tanks—made of either metallic or composite materials—and placement strategies such as horizontal placement (with and without stacking allowance) and vertical placement. The key outputs include the tank capacity per installation space in cubic meters, the vessel range (or coverage) per installation space in nautical miles, and the number of tanks per installation space. vessel range per installation space (nautical miles), and the number of tanks per installation space
Item
Open Access
SivaS Project Results: Traffic Observation Data and Exemplary Subset of Master Database
(Technische Universität Dresden, 2025-06-30) Kannan, Rajagopalan; Prokop, Günther; Kollascheck, Armin; Gerike, Regine; Stoller, André; Böhme, Tobias
This dataset comprises JSON files and .mp4 video recordings that collectively form the foundation of a centralized database for traffic observations, referred to as the SivaS Master Database. Included in the dataset are: (i) a subset of the raw traffic observation data, (ii) JSON schemas defining the standardized data structure for traffic data storage, (iii) the hierarchical folder framework for organizing such data, and (iv) an exemplary implementation of the standardized database. Given the complexity of the raw data and the substantial effort involved in converting it into the standardized structure, only a limited sample dataset was manually curated and prepared. The SivaS Master Database was created by transforming a subset of the raw traffic data collected during the project into the established database, designed to support integration from various acquisition systems. The dataset includes traffic observations obtained through three different modalities: drones, stationary pole-mounted cameras, and sensor-equipped NDS (Naturalistic Driving Study) vehicles. Specifically, it features over 60 minutes of video recordings from a junction in the city of Dresden, captured simultaneously by three stationary cameras. Additionally, it contains more than 30 minutes of drone-based video footage from two separate junctions in the city of Hoyerswerda. It also includes vehicle positioning data collected by a sensor-equipped observation vehicle, formatted according to the standardized structure, from traffic observations conducted in Hoyerswerda.