OPARA Research Data Repository of Saxon Universities
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Additional data to the publication "Characterization of cell adhesion phenomena at the dental abutment/soft tissue interface by means of a dynamic cell culture model"
No full textThe paper describes the development of a flow chamber model for the assessment of cell adhesion strength under variable shear stress, her shown for human gingival cells to test cell adhesion phenomena under mechanical stress. This model is then applied in proof of principle experiments to two surface modification types that have promising surface properties and are intended for the application in dental
Two types of datasets are provided: (1) raw image sets comprising combinations of microscopy images, each accompanied by corresponding metadata, and (2) processed datasets derived from individual physico-chemical measurements or on raw images. The 2nd datatype includes either basic statistical analyses—such as the calculation of means, standard deviations, standard errors, and associated statistical tests—or more advanced analyses performed through automated image processing. For the latter, the figures presented in the publication represent the results of image analyses conducted using custom-optimized macros. Each archive for each individual figure also contains the raw images, a data analysis file that compiles the raw output data generated by ImageJ, output of statistical tests as well as the respective final graphical representation. A detailed description of the data structure and image analysis workflow is provided in the accompanying README file. The macros used for image processing are published in Supplement 2 of the original publication. However, for convenience, they are also included here as standalone text files alongside a detailed instruction how to use the macros, assembled in the respective archive folder
Flossgraben Bridge - Large-Scale Experiment Acceleration Data
No full textThe research presented is part of the SPP100+ of the German Research Foundation. Subject of the research is the early detection of damage, especially on large bridge structures. For this purpose, a large-scale experiment for vibration-based output-only damage detection was conducted at Flossgraben Bridge near Zeitz (Germany). The experiment was conducted over the course of three days for which the structure was equipped with 56 uniaxial piezoelectric acceleration sensors. The experimental structure is a healthy bridge structure constructed in 2001 and is part of the federal road B2 with two lanes for traffic. The bridge is composed of seven spans, with a total length of 358 m and a total weight of approximately 4750 t. The superstructure consists of an in-situ concrete slab resting on a trapezoidal, torsionally rigid steel box girder with inclined webs.
The large-scale experiment was divided into a reference phase and two damage equivalent load case phases. Cargo trucks with a total mass of 39 t were used as additional mass and placed in field 4 and field 3 as mass alterations. During the complete course of the large-scale experiment one traffic lane was closed, while the other was open for traffic. The experiment was carried out with the kind support of the LSBB Saxony-Anhalt
Data Underpinning: Stacking Disorder in Novel ABAC-Stacked Brochantite, Cu₄SO₄(OH)₆
No full textAbstract of the accompanying article: In geometrically frustrated magnetic systems, weak interactions or slight changes to the structure can tip the delicate balance of exchange interactions, sending the system into a different ground state. Brochantite, Cu₄SO₄(OH)₆, has a copper sublattice composed of distorted triangles, making it a likely host for frustrated magnetism, but exhibits stacking disorder. The lack of synthetic single crystals has limited research on the magnetism in brochantite to powders and natural mineral crystals. We grew crystals which we find to be a new polytype with a tendency toward ABAC stacking and some anion disorder, alongside the expected stacking disorder. Comparison to previous results on natural mineral specimens suggests that cation disorder is more deleterious to the magnetism than anion and stacking disorder. Our specific heat data suggest a double transition on cooling into the magnetically ordered state
Supplementary information to the publication “Influence of foam composite in lithium-ion battery packs on their mechanical recycling”
No full textSupplementary data to the following paper.
Lithium-ion batteries (LIB) make an important contribution to the energy transition as energy storage devices for mobile and stationary applications. The recovery of the valuable materials contained in the lithium-ion batteries after their end of life is of central importance for the development of a circular economy in line with the concept of sustainability. Mechanical recycling is to be seen as a first step in this process.
With processes for the mechanical recycling of LIB that have already been successfully developed and implemented, it is possible to recover most components of a LIB i.e., the materials of the anode, cathode and separator foils as well as the casing. The concentrate of the coating of the electrode foils, which is called black mass, becomes an intermediate product for hydrometallurgical recycling processes for the recovery of lithium, among other materials.
Some OEM of the automotive industry are about to introduce cell-to-pack-technologies, in which individual LIB-cells are fixed and stabilised in their position inside the large battery pack with the aid of a foam material, thereby adding further materials to the battery pack. The effects of the foam on the recycling are not known yet. Within the scope of this experimental work, several technological variants to enrich and separate the foam as an individual material fraction were investigated. The holistic aim is to minimise contamination from the foam in the valuable fractions. Two different types of foam and their effect on the purity of the recycling products were analysed
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?
No full textThis dataset contains 9269 robotic grasps collected from 106 objects, and their corresponding outcome. The hardware used consists of a 7-DoF Sawyer arm, a Weiss WSG-50 parallel gripper, one Microsoft Kinect 2, and two GelSight sensors, one for each finger
Learning Gentle Grasping Using Vision, Sound, and Touch
No full textThis dataset contains 1,500 robotic grasps collected for the paper of Learning Gentle Grasping Using Vision, Sound, and Touch. Additionally, we provide a description of this dataset and Python scripts to visualize the data and process raw data into a training dataset for a PyTorch model. The robotics system used consists of a multi-fingered robotic hand (16-DoF, Allegro Hand v4.0), 7-DoF robotic arms (xArm7), DIGIT tactile sensors, an RGB-D camera (Intel RealSense D435i), and a commodity microphone. The target object is a toy that emits sound when grasped strongly
Data for Simon Nogo_NFL_nCREANN
No full textThe data set includes raw behavioral data (logfiles) from the Simon Nogo task, raw preprocessed EEG data, and NFL data of 55 healthy participants. Further, all customized scripts for the analyses are provided
Data from "Come fly with me" VR study on Reducing Cybersickness with Foveated Depth of Field Blur across varying Locomotion Control conditions
No full textCybersickness, which is characterized by symptoms such as general discomfort, headaches, and nausea, is a common issue in virtual reality (VR) that negatively impacts the accessibility and user experience. Foveated depth of field blur rendering (FovDof) uses the perceptual limitations of the human eye to mitigate cybersickness. However, the external validity of this countermeasure is limited. To increase the external validity, an interactive task is introduced. In addition, the study introduces two levels of locomotion control (3 vs. 6DoF). Along with subjective measures focusing on cybersickness symptoms (SSQ/MISC), objective performance measures (eye tracker sampling frequency) were analyzed. Based on valid data from 65 participants, the analysis revealed significant main effects for both rendering and locomotion control factors for the objective measures. However, the effects of the two types of measures are in opposite directions. For the subjective measures, the combination of full rendering and 3DoF locomotion control resulted in the highest cybersickness values. These results suggest that the applicability of FovDof is universal, even when a task is included, and can be implemented using other eye tracking software and hardware. However, limited customizability for VR headsets limits the applicability. In cases where full locomotion control is provided to the user, the FovDof algorithm does not have additional mitigating effects
FairBotBench
No full textThis 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
Earthquakes in Saxony (Germany) and surroundings from 2006 up to 2023 -- onsets and locations
No full textThis archive contains complete results of earthquake locations for Saxony (Germany) and neighbourhood of the years from 2006 up to 2023. Approximately 26.000 events were detected and localized, most of them with epicenters in Northwestern Bohemia near Nový Kostel and Luby (Czech Republic) neighboured to the Saxon border