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
SMELLODI_Deliverable_D5-5-Dataset of BOV description matrix
(Technische Universität Dresden, 2024-09-06) Power Guerra, Nicole
Deliverable D5.5 shows the dataset of body odor volatilome (BOV) description matrix of healthy/sick BOV. The BOV description matrix was adapted from the description matrix developed in T2.2 (D2.3, D2.4). Female subjects (human raters) discriminated, rated, and evaluated body odors (BO) from healthy and sick donors. The BO donors were described in D5.2 and included patients with Parkinson’s disease (PD), mild cognitive impairment (MCI), COVID-19 infection (COVID sick), and with a common cold. The human raters successfully distinguished and identified BOs associated with illness (D.5.4).
Item
Unknown
RillGrowEvaluationTime-LapseSfM
(Technische Universität Dresden, 2024-08-29) Eltner, Anette
This project contains data for the evaluation and calibration of model outputs of several thousand runs of the soil erosion model RillGrow. For more information about the data see the read.me.
Item
Open Access
Correlation Clustering of Organoid Images: Data
(Technische Universität Dresden, 2024-08-23) Presberger, Jannik; Keshara, Rashmiparvathi; Stein, David; Kim, Yung Hae; Grapin-Botton, Anne; Andres, Bjoern
The data considered in: J. Presberger, R. Keshara, D. Stein, Y. H. Kim, A. Grapin-Botton and B. Andres. Correlation Clustering of Organoid Images. In: GCPR 2024.
Item
Open Access
Dynamic Image Analysis: Python Notebooks, Particle Datasets, and Simulation Results
(Technische Universität Bergakademie Freiberg, 2024-08-20) Buchwald, Thomas
This submission serves as a validation dataset for the simulation results of 2D imaging methods from 3D particle meshes. The submission contains dynamic image analysis data that can be used for validation of simulation results, Python notebooks for extraction of particles and calculation of particle characteristics, and the final results in as pickled Pandas DataFrames and CSV files. This dataset extends to previous submission: https://doi.org/10.25532/OPARA-479 and https://doi.org/10.25532/OPARA-587, which contain the 3D particle dataset and the simulation algorithm notebooks.
Item
Unknown
Multi-UE 5G RAN Measurement Raw Data
(Technische Universität Dresden, 2024-08-15) Grohmann, Andreas Ingo
This set of measurements is based on 5G over the air connections. Each measurement utilizes a 5G base station as well as one to five UE. There are three different gNB approaches, a carrier grade gNB provided by Nokia, an O-RAN based closed source high end approach from Airspan and a low cost approach utilizing srsRAN. All gNBs utilized with Open5GS the same core network. The dataset includes a set of verification measurements utilizing ethernet instead of 5G. The measured data is one way delay and the tool utilized is Rude & Crude. Source and destination of the transmissions are synchronized in time using PTP.