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
MiTra: A Drone-Based Trajectory Data for an All-Traffic-State Inclusive Freeway with Ramps
(Technische Universität Dresden, 2025-06-13) Chaudhari, Ankit Anil; Treiber, Martin; Okhrin, Ostap
This dataset contains original videos, tracking logs to validate the videos, and extracted trajectory data of naturalistic traffic collected using unmanned aerial vehicles (drones) over a 900 m section of the A50 urban freeway in Milan, Italy. Nine flight campaigns, totaling 135 min, were conducted using six drones flying in a line to capture comprehensive coverage across all traffic states, from free flow to congested conditions. The dataset offers detailed trajectory data extracted from single drone videos (54 datasets from nine flight campaigns of six drones) and 9 datasets of stitched footage from all six drones. With a granularity of 30 frames per second, we extracted 124,641 vehicle trajectories from single drone videos and 24,161 trajectories from stitched footage. This enables complete vehicle tracking across five distinct categories: Cars (73.0%), Medium Vehicles (13.4%), Heavy Vehicles (11.3%), Motorcycles (2.1%), and Buses (0.2%). Of the total vehicles, 76.9% traveled straight on the freeway, while 13% merged and 10.1% diverged using on-ramps and off-ramps, respectively, in both directions. Regarding lane changes, 51.9% of the vehicles in the dataset executed at least one. Among these, 24.8% performed a single lane change, while 27.1% changed lanes multiple times. In addition to trajectory data, this dataset includes the original videos and tracking files, which show the recorded traffic scenes, provide visual context, and enhance the usability and interpretability of the trajectory data. The tracking files can be used to map vehicle IDs in the video, enabling various analyses as detailed in the user guide. This dataset facilitates the analysis of driving behavior, traffic dynamics, and vehicle interactions, offering valuable insights for research, planning, and policymaking in transportation and urban mobility.
Item
Open Access
GHG EMISSION FACTORS OF FUELS
(Technische Universität Dresden, 2025-06-12) Wang, Haibin
According to the data presented IMO’s 4th GHG study and FuelEU Maritime Regulation, the potential emissions generation from the use of different fuels are collected considering the WtT and TtW emissions in terms of GHGIE (g CO2 eq./MJ) from the production, transportation and usage of fuels.
Item
Open Access
Hydrogen fuelled ships: Comparative analysis of class rules and guidelines
(Technische Universität Dresden, 2025-06-12) Injun , Yang
The IGF Code, originally designed around LNG storage and transport systems, falls short in adequately addressing the unique properties of hydrogen. As a result, efforts are currently underway to develop relevant regulations, including the release of CCC 9/WP.3. Leading classification societies like ABS, BV, DNV, KR, LR, NK, and RINA have established their own specific rules and guidelines for liquefied gases and LNG.
Item
Open Access
Raw data from the operational modes demonstration of storage tanks and auxiliary systems for ships burning ammonia as fuel
(Technische Universität Dresden, 2025-06-12) Markakis, Nikolaos
This dataset contains raw live monitoring data from the final demonstration of the NH3CRAFT project, during which various operational modes were tested. The focus was on monitoring the transfer of ammonia between tanks and evaluating the performance of associated systems, including flowmeters, valves, pumps, and key tank instrumentation such as temperature, pressure, and filling levels. The onshore demonstration involved three metallic tanks (MU1, MU2, and MC3) with capacities of 290, 145, and 155 m³, respectively, a containerized metallic tank (MC4, 20 m³), and a container holding eight composite tanks (CC1 to CC8) with a total capacity of 11 m³. Data were acquired through digital and analog signals from field instruments connected to Programmable Logic Controllers (PLCs), which interfaced with an industrial PC for real-time monitoring. The dataset demonstrates stable system performance during ammonia transfer operations and serves as a valuable resource for assessing system reliability, safety, and efficiency in ammonia storage applications, supporting the broader objectives of the NH3CRAFT project.
Item
Open Access
Research data on measured solubility of insect fat in compressed CO2
(Technische Universität Bergakademie Freiberg, 2025-06-12) Goldberg, Tom; Herdegen, Volker
The data file ('Solubility data.txt') contains the measured solubility data of insect fat (Black soldier fly larvae, Hermetia illucens) in compressed CO2 according to the publication "Solubility of insect fat in compressed CO2: Experiments and density- as well as activity-based modeling" by Goldberg, T. & Herdegen, V. (2025). Measurements were conducted at 4 set temperatures (298, 315, 336, 353 K) over a wide pressure range (15 to 60 MPa). The dataset includes all measured solubilities, each determined in at least duplicate, together with the corresponding temperature and pressure conditions (means and standard deviations). The given CO2 densities were calculated using the Bender equation of state, with their maximum fluctuation range resulting from the standard deviations in temperature and pressure. Except for 3 selected data points that refer to the crude insect fat (attached at the end of the file), all measurements were performed using the pre-cleaned insect fat obtained from liquid-liquid extraction with hexane and water. Further information on physicochemical properties and the fatty acid profile of the insect fat, as well as a detailed description of the experimental procedure, can be found in the associated publication.