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- Description:
- This dataset is part of a Distributed Fiber Optic Strain Sensing (DFOS) study along a dark fiber for monitoring purposes conducted on an optical fiber link between Boxmeer and Deurne in the Netherlands. The work investigates the application of DFOS using existing dark fiber infrastructure from telecommunication companies to capture strain variations along tens of kilometers with high spatial and temporal resolution. The experiment covered the time period from 2025-06-25 08:19:32 UTC to 2025-08-11 11:56:03 UTC. This data set contains the recordings covering the arrival of seismic waves from the 2025 M8.8 Kamchatka earthquake between 2025-07-29 23:30:01 UTC to 2025-07-30 01:15:46 UTC. Recordings with the QuantX-system contain the following settings: gauge length of 20 m, channel spacing of 2 m, and a sampling rate of 250 Hz. The dark fiber has a length of nearly 36 km, leading to a total of 18,100 channels in each file. File naming follows the start timestamp in BTS. The 26 geo-referenced channel locations from tap tests and/or locatable noise sources are contained in this data set as well.
- Keyword:
- Distributed Fiber Optic Sensing (DFOS), Seismic Monitoring, Kamchatka, Earthquake, Ground Motion, Netherlands, Distributed Acoustic Sensing (DAS), and Distributed Dynamic Strain Sensing (DDSS)
- Subject:
- Earthquake and Seismology
- Publisher:
- Language:
- English
- Date Uploaded:
- 2025-09-12
- Date Modified:
- 2025-09-29
- License:
- Creative Commons CC0 1.0 Universal
- Resource Type:
- Dataset
- Description:
- Recent experiments on twisted double bilayer tungsten diselenide have demonstrated that moir\'e semiconductors can be used to realize a relativistic Mott transition, i.e., a quantum phase transition from a Dirac semimetal to a correlated insulating state, by twist-angle tuning. In addition, signatures of van Hove singularities were observed in the material's moir\'e valence bands, suggesting further potential for the emergence of strongly-correlated states in this moir\'e semiconductor. , Based on a Bistritzer-MacDonald-type continuum model, we provide a detailed analysis of the twist-angle dependence of the system's moir\'e valence band structure, focussing on both, the evolution of the Dirac excitations and the Fermi-surface structure with its Lifshitz transitions across the van Hove fillings. We exhibit that the twist angle can be used to band engineer a high-order van Hove singularity with power-law exponent~$-1/4$ in the density of states, which can be accessed by gate tuning of the hole filling., We then study the magnetic phase diagram of an effective Hubbard model for twisted double bilayer tungsten diselenide on the effective moir\'e honeycomb superlattice with tight-binding parameters fitted to the two topmost bands of the continuum model. To that end, we employ a self-consistent Hartree-Fock mean-field approach in real space. Fixing the angle-dependent Hubbard interaction based on the experimental findings, we explore a broad parameter range of twist angle, filling, and temperature., We find a rich variety of magnetic states that we expect to be accessible in future experiments by twist or gate tuning, including, e.g., a non-coplanar spin-density wave with non-zero spin chirality and a half-metallic uniaxial spin-density wave., In this dataset, we provide the angle-dependent parameters of the effective honeycomb-lattice Hubbard model for twisted double bilayer tungsten diselenide in ABBA stacking order., Based on a Bistritzer-MacDonald-type continuum model, we have calculated an effective honeycomb-lattice Hubbard model with tight-binding parameters fitted to the two topmost bands. The model parameters are twist-angle dependent and we provide data for all angles between 1.00 degree and 4.18 degrees in steps of 0.02 degrees. We include n-th-nearest neighbor hopping amplitudes, 'tn', up to the 10th nearest neighbor, i.e., t1,..., t10, and an additional energy offset 'E0' to match the band energies of the continuum model. We also give our estimate for the angle-dependent on-site Hubbard interaction 'U'. All quantities are given in units of meV., and For a chosen twist angle the parameters provided in our data file uniquely define an effective honeycomb-lattice Hubbard model that describes the two topmost Gamma-valley moir\'e valence bands of twisted double bilayer tungsten diselende in ABBA stacking order. The model is then a starting point for quantum-many-body calculations. In the accompanying publication to this data set, we use the model to calculate the magnetic phase diagram employing an unrestricted Hartree-Fock mean-field approach in real space.
- Keyword:
- Moiré materials, Twisted double bilayer tungsten diselenide, Relativistic Mott transition, 2D materials, Magnetic phase diagram, Band-structure calculations, Honeycomb-lattice Hubbard model, Van Hove Singularity, Hartree-Fock mean-field, Strongly-correlated electron systems, and Dirac materials
- Publisher:
- Date Uploaded:
- 2025-08-28
- Date Modified:
- 2025-09-15
- License:
- Creative Commons BY-NC-SA Attribution-NonCommercial-ShareAlike 4.0 International
- Resource Type:
- Dataset
- Description:
- Problematic media use in children and adolescents has been linked to various mental health concerns. Given the increasing prevalence of media use among German children, it is crucial to have a valid tool to assess problematic media use. The present study validated the 9-item short form of the problematic media use measure (Domoff et al., 2019) in a German sample of N = 240 parents of 4-16-year-old children and explored its relationship with child and parental mental health. Parents completed questionnaires on their child’s problematic media use, psychosocial functioning, their own mental health and media use online. The German version of the PMUM-SF demonstrated high internal consistency, and good convergent and incremental validity. Problematic media use was significantly associated with age and with child functioning such as externalizing and internalizing problems. Furthermore, parental media use and parental stress and depression were positively correlated with child problematic media use. The study thus supports the use of the German version of the PMUM-SF as a measure of problematic media use in children ages 4 through 16 years old.
- Keyword:
- problematic media use, parental mediation of media, externalizing and internalizing behavior, media addiction, mental health, and media rules
- Publisher:
- Date Uploaded:
- 2025-07-04
- Date Modified:
- 2025-07-11
- License:
- Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International
- Resource Type:
- Dataset
- Description:
- This the preprocessed data fro the data available here: doi:10.18112/openneuro.ds006345.v1.0.0
- Resource Type:
- 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
- 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
- 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
- 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
- Description:
- This sub collection contains results of density measurements performed in the ERC Advanced Grant ThermoPropHy
- Resource Type:
- 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