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  • PSC522 Dataset

    Description:
    This dataset is part of the publication "A PLM-Integrated automated synthetic image generation pipeline for object detection" presented at the PLM conference 2025 in Sevilla. The paper presents an automated synthetic image data generation pipeline aimed at streamlining the training process of object detection models supporting manual assembly processes. By automating the rendering of images from CAD models instead of relying on manually created physical product images, the pipeline enables dataset creation in earlier phases of the product lifecycle while also significantly reducing manual effort. This approach enhances the accessibility for finetuned object detection model development. The pipeline integrates two core components: object similarity analysis and synthetic image generation. The similarity analysis groups visually similar objects into unified classes for the object detection model, reducing confusion during detection. The image generation process can be augmented with contextual information from virtual 3D workplace scenes, thereby significantly mitigating the sim-to-real gap. The pipeline is accessed via a REST API, enabling seamless integration with PLM systems for automated retrieval of CAD models and workplace scene data. A workflow manager orchestrates interactions between the user, the PLM system, and the generation pipeline. The effectiveness of the system is validated by evaluating object detection models trained on the synthetically generated datasets against real-world images, demonstrating its potential to improve detection accuracy and robustness in industrial environments. By publishing the data used, we aim to strengthen the traceability of the results obtained and that we can encourage further research in this field.
    Keyword:
    object detection, industrial object detection, synthetic data, plm, and product lifecycle management
    Publisher:
    Language:
    English and German
    Date Uploaded:
    2025-06-03
    Date Modified:
    2025-06-05
    License:
    Creative Commons BY Attribution 4.0 International
    Resource Type:
    Dataset

  • Questionnaire Data – Digital Security Perceptions & Practices in 12 Countries

    Description:
    This dataset comprises self-reported questionnaire responses from 12,000 participants, capturing their conceptions, misconceptions, perceptions, and attitudes toward digital security. It also examines their familiarity with various digital security terms, experiences with cybercrime, and the protective measures participants employ to safeguard their online data. The survey, conducted in late 2021, includes responses from 1,000 participants in each of 12 countries: China, Germany, India, Israel, Italy, Mexico, Poland, Saudi Arabia, South Africa, Sweden, the UK, and the USA. , The dataset is provided in two files: , 1. "SurveyResponses_DigitalSecurityAroundTheWorld.csv": This file contains the complete survey responses from all 12,000 participants., 2. "DataMap_DigitalSecurityAroundTheWorld.pdf": This document includes each question and response option from the full questionnaire. It also maps the survey questions to their corresponding column names in the dataset, facilitating data interpretation., When using any part of our dataset for your own research:, please make sure to cite the following publications: , - Franziska Herbert, Steffen Becker, Leonie Schaewitz, Jonas Hielscher, Marvin Kowalewski, Angela Sasse, Yasemin Acar, and Markus Dürmuth. 2023. A World Full of Privacy and Security (Mis)conceptions? Findings of a Representative Survey in 12 Countries. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Association for Computing Machinery, New York, NY, USA, Article 582, 1–23.  https://doi.org/10.1145/3544548.3581410 , and - Franziska Herbert, Collins W. Munyendo, Jonas Hielscher, Steffen Becker, Yixin Zou. 2025. Digital Security Perceptions and Practices Around the World: A WEIRD vs. Non-WEIRD Comparison. In Proceedings of the 34th USENIX Security Symposium (USENIX Security 25). USENIX Association, Philadelphia, PA, USA. (in press)
    Keyword:
    human-centered security, privacy, online survey, and cross-country comparison
    Publisher:
    Language:
    English
    Date Uploaded:
    2025-01-24
    Date Modified:
    2025-02-19
    License:
    Creative Commons BY Attribution 4.0 International
    Resource Type:
    Dataset

  • Intervention Against The Stigmatization of Men With Eating Disorders in Primary Care: Video-Based Training Modules

    Description:
    The content of this dataset (videos, subtitle files, and cover image files) derives from the research project "Intervention against the stigmatization of men with eating disorders in primary care (iSMEsH)" funded by the German Federal Ministry of Health (BMG). The aim of the project “Intervention against the stigmatization of men with eating disorders in primary care (iSMEsH)” was to develop and scientifically evaluate the online training course “Eating disorders in boys and men” for doctors. The intervention was developed to sensitize general practitioners to the topic of eating disorders in boys and men and to impart knowledge and skills. In addition to examining the effectiveness of the training in terms of reducing stigma among GPs, iSMEsH was also investigating the practical applicability of the intervention, including its acceptance, feasibility, willingness to adopt, and sustainability. The video training comprises the following 6 modules: - Facts on Eating Disorders (duration: 11:34) - Symptoms and Diagnostics (duration: 11:22) - Communication Strategies (duration: 10:06) - Muscle Dysmorphia (duration: 5:21) - Support and Assistance Services (duration: 8:03) - Caretakers (duration: 6:09) and Die Inhalte dieses Datensatzes (Videos, Untertiteldateien und Coverbilddateien) stammen aus dem vom Bundesministerium für Gesundheit (BMG) geförderten Forschungsprojekt „Intervention gegen die Stigmatisierung von Männern mit Essstörungen in der Primärversorgung (iSMEsH)“. Ziel des Projekts „Intervention gegen die Stigmatisierung von Männern mit Essstörungen in der Primärversorgung (iSMEsH)“ war die Entwicklung und wissenschaftliche Evaluation des Online-Trainings „Essstörungen bei Jungen und Männern“ für Ärzte. Die Intervention wurde entwickelt, um Allgemeinmediziner für das Thema Essstörungen bei Jungen und Männern zu sensibilisieren und ihnen Wissen und Fertigkeiten zu vermitteln. Neben der Untersuchung der Wirksamkeit der Schulung im Hinblick auf die Reduktion der Stigmatisierung bei Hausärzten untersuchte iSMEsH auch die praktische Anwendbarkeit der Intervention, einschließlich ihrer Akzeptanz, Machbarkeit, Bereitschaft zur Übernahme und Nachhaltigkeit. Das Videotraining umfasst die folgenden 6 Module: - Fakten zu Essstörungen (Dauer: 11:34) - Symptome und Diagnostik (Dauer: 11:22) - Gesprächsführung (Dauer: 10:06) - Muskeldysmorphie (Dauer: 5:21) - Unterstützungs- und Hilfsangebote (Dauer: 8:03) - Rolle von Angehörigen (Dauer: 6:09)
    Keyword:
    Stigma, Anti-Stigma, Behandlungshürde, Help-Seeking, Intervention, Stigmatisierung, Hausarzt, Essstörung, Männer, Men, Hilfesuche, Treatment Barrier, Stigmatization, Eating Disorder, and Primary Care
    Subject:
    Medicine, Psychotherapy, and Psychosomatic Medicine
    Publisher:
    Based Near Label Tesim:
    Bochum, North Rhine-Westphalia, Germany
    Language:
    German
    Date Uploaded:
    2025-06-16
    Date Modified:
    2025-06-17
    License:
    Creative Commons BY Attribution 4.0 International
    Resource Type:
    Audiovisual

  • Density Measurements Helium / Neon

    Description:
    This dataset contains highly accurate density measurements for the system Helium / Neon down to temperatures of 100 K. Measurements were carried out with the apparatus described in LENTNER, Rafael, et al. Density measurements of liquefied natural gas (LNG) over the temperature range from (105 to 135) K at pressures up to 8.9 MPa. The Journal of Chemical Thermodynamics, 2017, 112. Jg., S. 68-76. Results of the measurements were published in VON PREETZMANN, Nils; SPAN, Roland. Measurement of the (p, ρ, T) behavior of Helium, Neon, and their mixtures at temperatures from (100 to 283.15) K and pressures up to 10.0 MPa. Cryogenics, 2024, 137. Jg., S. 103765.
    Keyword:
    Single-Sinker Densimeter, Density Measurements, Helium / Neon, and Cryogenic
    Publisher:
    Date Uploaded:
    2025-05-26
    Date Modified:
    2025-05-27
    License:
    Creative Commons CC0 1.0 Universal
    Resource Type:
    Dataset

  • Energy Levels Hydrogen

    Description:
    Rovibrational energies of the hydrogen molecule in the electronic ground state have been derived from a complete vacuum ultraviolet (VUV) spectrum. This purely experimentally based approach has been chosen to compare experimentally based quantum-mechanical predictions for caloric properties of hydrogen in the ideal-gas state with approaches fitting smoothing functions to IR data and with ab-initio calculations of rovibrational energy levels. Results of this comparison were found to agree essentially within 0.01% in the isobaric heat capacity and give an indication for the uncertainty ideal gas properties. The given energy levels allow for the calculation of properties of ortho, para and normal hydrogen as well as for calculations regarding the equilibrium ortho / para distribution as a function of temperature. The results form the basis for the development of a numerically less demanding empirical representation of the ideal gas properties as basis for the development of a new reference equation of state.
    Keyword:
    Hydrogen, Ideal Gas Properties, and Rovibrational Energy Levels
    Publisher:
    Date Uploaded:
    2025-05-22
    Date Modified:
    2025-05-27
    License:
    Creative Commons CC0 1.0 Universal
    Resource Type:
    Dataset

  • Viscosity Measurements H2 and H2-Mixtures

    Description:
    This data set contains viscosity measurements for hydrogen and for mixtures containing hydrogen and components relevant for blue-hydrogen production. Measurements were carried out with highly accurate gas-phase viscometers utilizing magnetic-suspension technology. Results are published in Betken, Benjamin; Khosravi, Bahareh; Sabozin, Fabian; Thol, Monika; Span, Roland; ,"Measurements of the Viscosity of n-Hydrogen and (n-Hydrogen+ Carbon Dioxide),(n-Hydrogen+ Methane), and (n-Hydrogen+ Ethane) Mixtures at Temperatures from (253.15 to 473.15) K and at Pressures up to 20 MPa",International Journal of Thermophysics,46,4,55,2025,Springer US New York
    Keyword:
    Hydrogen / Carbon Dioxide, Viscosity, Hydrogen / Methane, Viscosity Measurements, Hydrogen, Hydrogen / Ethane, and Gas Phase
    Publisher:
    Date Uploaded:
    2025-05-22
    Date Modified:
    2025-05-27
    License:
    Creative Commons CC0 1.0 Universal
    Resource Type:
    Dataset

  • Fluid Catalytic Cracking (FCC) Alarm Dataset

    Description:
    This dataset contains simulation data from a Fluid Catalytic Cracking (FCC) unit, specifically designed for alarm flood classification and alarm management research. The dataset is derived from a high-fidelity MATLAB-based FCC simulation model that has been enhanced with realistic process variations and a comprehensive alarm system. Key features of the dataset include: Size: 1,600 simulation runs across 16 different abnormal situations (100 runs per disturbance) Time Resolution: Process data sampled at 60-second intervals File Structure: In the timeseriesdata, each run includes three CSV files: process.csv: Contains 25 process variables (temperatures, pressures, flows, etc.) valves.csv: Contains 11 valve position variables disturbances.csv: Contains 15 variables related to disturbances and ambient conditions For the alarmseriesdata, each run consists of a single file alarms.csv: Contains 57 alarm status variables (low, high, low-low, high-high) The dataset captures realistic process dynamics with: Added measurement noise to all variables (e.g., 1% for level, 0.01°C for temperature) Comprehensive alarm configuration with thresholds based on operating limits 16 different abnormal situations including valve failures, catalyst deactivation, and equipment issues This dataset addresses the gap in publicly available alarm data for process industries and provides a valuable resource for developing and evaluating alarm management techniques, particularly alarm flood classification methods.
    Keyword:
    Alarm Flood Classification, Fluid Catalytic Cracking (FCC), and Process Simulation
    Publisher:
    Date Uploaded:
    2025-05-07
    Date Modified:
    2025-05-12
    License:
    Creative Commons BY Attribution 4.0 International
    Resource Type:
    Dataset

  • Frag einen Hirnforscher!

    Keyword:
    Extinction Learning, CRC 1280, Memory, and Biopsychology
    Publisher:
    Language:
    Date Uploaded:
    2025-04-25
    Date Modified:
    2025-04-25
    License:
    Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International
    Resource Type:
    Collection

  • Einsamkeit, oder: die Politik eines Gefühls

    Keyword:
    Loneliness, Mental Health, and Public Health
    Publisher:
    Language:
    Date Uploaded:
    2025-04-25
    Date Modified:
    2025-05-02
    License:
    Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International
    Resource Type:
    Collection

  • Kannste Erinnern?

    Keyword:
    Memory, Past, and False Memory
    Publisher:
    Language:
    Date Uploaded:
    2025-04-25
    Date Modified:
    2025-04-25
    License:
    Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International
    Resource Type:
    Collection