1167 research outputs found
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twoPhaseInterTrackFoam - data & results v2
Simulation results and their postprocessing as reported in the referenced article/preprint. Result of the referenced code.v2.
OxyflameC7-Campaign3-FTIR-Data
Dataset for the FTIR measurements in the third experimental campaign including the 420kWth biomass flame
Supplementary Material - Proceedings of the 59th CIRP Conference on Manufacturing Systems 2026
Data sets for the configuration of ETA-MISTRAL with demand data sets.0.0.
Data for "Gas-Phase Raman Spectroscopy for Two-Dimensional Temperature and Concentration Pro- filing in the Catalytic Oxidative Dehydrogenation of Ethanol"
This dataset contains the processed data underlying the figures in the paper and supporting material “Gas-Phase Raman Spectroscopy for Two-Dimensional Temperature and Concentration Profiling in the Catalytic Oxidative Dehydrogenation of Ethanol”, published in Applied Catalysis A: General (2026). It includes two-dimensional gas-phase Raman temperature and species mole-fraction fields and derived 1D profiles, along with complementary FTIR-based conversion/selectivity data and supporting model/flow-profile results used in the publication
Color superconductivity under neutron-star conditions at next-to-leading order
Color superconductivity under neutron-star conditions at next-to-leading orde
Versuchsdaten mit Störgrößen
Datensatz aufgezeichneter Maschinendaten inkl. Kraftmessung
(Aufzeichnung mittels Beckhoff-IPC, inkl. Auswertung in Python)
Dieser Datensatz enthält umfangreiche, strukturierte Roh- und Messdaten, die während eines Bearbeitungsprozesses auf einer 5-Achs-CNC-Maschine aufgezeichnet wurden. Neben den eigentlichen Rohdaten sind auch alle relevanten Zwischenschritte, finale Ergebnisse sowie die zugehörigen Python-Auswerteskripte enthalten.
Details zum Datensatz:
- Aufzeichnungseinheit: Beckhoff-IPC
- Maschine: Hermle C32 U
- Steuerung: Siemens Sinumerik 840D sl
- Kraftmessung: Kistler Kraftmessplattform, Typ 9257B
Inhalte des Datensatzes:
- Rohdaten der Maschinendaten (z. B. Positionen)
- Kraftmessdaten während der Bearbeitung
- Zwischenergebnisse der Datenaufbereitung
- Final aufbereitete Datensätze zur Analyse oder Weiterverarbeitung
- Python-Skripte zur Auswertung, Visualisierung und Filterung der Daten
- Experimentell Bestimmte und Simulierte Fasenbreite an 8 Stellen entlang des Umfang
Evaluation: Transkript des Interviews mit zwei Expertinnen aus dem Bereich Engineering des GSI Helmholtzzentrums für Schwerionenforschung
Hintergrund:
Im Rahmen des Dissertationsprojekts „XR-KIS: An Extended Reality-based Information System for Knowledge Management in Nuclear Facilities“ wurden zur Anforderungsanalyse sowie zur Evaluation Experteninterviews durchgeführt. Ziel der Evaluation war es, anhand der Umsetzung im Felslabor Mont Terri in der Schweiz zu ermitteln, inwieweit der entwickelte XR-KIS-Prototyp wie im Konzept vorgesehen auf verschiedene kerntechnische Anlagen anwendbar ist. Die Hälfte der Interviewpartner war bereits während der Anforderungsphase befragt worden, wodurch ein ausgewogenes Verhältnis zwischen Experten, die das Konzept von Anfang an kannten, und solchen, die die Anwendung erst nach ihrer Fertigstellung kennenlernten, gewährleistet ist.
Zum Transkript "Interview mit zwei Expertinnen aus dem Bereich Engineering des GSI Helmholtzzentrums für Schwerionenforschung":
Die Perspektive der zwei Expertinnen zeigt das Potenzial von XR-KIS für den Einsatz beim Bau und Betrieb einer zukünftigen kerntechnischen Anlage, dem Teilchenbeschleuniger FAIR, der mit der bestehenden Beschleunigeranlage des GSI Helmholtzzentrums für Schwerionenforschung verbunden sein wird. Die Expertinnen wurden erst nach Fertigstellung der Demonstratoranwendung konsultiert, sodass keine Voreingenommenheit aus der Konzeptphase möglich ist. Es wurde ausführlich diskutiert, wo die Expertinnen, die an der Schnittstelle zwischen Ingenieurwesen und Wissensmanagement arbeiten, die Stärken und Schwächen von XR-KIS in Bezug auf ihre Anlage sehen.
Hinweis:
Der/die Interviewpartner(in) hat/haben im Rahmen eines Autorisierungsprozesses sein/ihr schriftliches Einverständnis zur Veröffentlichung dieses anonymisierten Transkripts gegeben. Die deutsche Fassung stellt die Originalfassung dar
Dipolar Order Controls Dielectric Response of Glass-Forming Liquids
Datasets used in the corresponding original publication of the same title in Phys. Rev. Lett. 132 (2024) 206101. Datasets include the dielectric relaxation strength \Delta\epsilon, the stretching parameter \beta and the Kirkwood correlation factor
A New Approach to the Construction of Subdivision Algorithms: The MATLAB Software Package
This software package creates subdivision matrices for generalized quadratic and cubic B-spline subdivision. The algorithms produce subdivision matrices for subdivision surfaces as well as subdivision volumes. The subdivision matrices define refinement rules for arbitrary combinatorial structures. Irregular points and edges are supported in all cases.
All generated subdivision matrices have a valid eigenstructure: they have a subdominant eigenvalue of 1/2 with multiplicity two (for subdivision surfaces) and multiplicity three (for subdivision volumes). Moreover the central part of the structure forms a convex polytope (or in the cubic case, a set of cubes whose outer faces form a central polytope).
The software package also includes a number of additional functions, such as plotting the evaluated B-spline elements or uniformly refining structures of any size
Human 64-Channel EEG Data (Fully Processed) in Passive Knee Exoskeleton Interaction
**Overview**
This dataset contains electroencephalography (EEG) recordings collected during an experiment investigating human–machine interaction with a passive knee exoskeleton. The study focused on identifying cortical features that reflect user preferences and perceived difficulty when performing a motor tracking task under different physical effort conditions.
**Participants**
- **Number of participants:** 14
- **Demographics:** 19-35 years old, mean age 23 years old, 12 Females, 2 Males
- **Inclusion criteria:** Healthy adults with no known neurological or musculoskeletal disorders
- **Ethics:** All participants provided written informed consent before participation. The study was approved by the ethics committee of TU Darmstadt (Protocol Number: EK 07/2023).
**Experimental Design**
- Participants were seated on a chair and wore a passive knee exoskeleton on their right leg.
- The exoskeleton was equipped with a pneumatic artificial muscle (PAM) mounted above the knee.
- Subjects were instructed to swing their right leg to track an individualized sinusoidal reference trajectory displayed on a screen. The vertical position of a marker on the screen was controlled by flexion and extension of the right knee.
- Three different pneumatic pressure levels were applied to the PAM, creating different physical effort conditions.
- After each condition, participants rated the perceived difficulty of the task on a 1–10 scale (higher values = more difficult).
**Data Acquisition**
- **EEG system:** 64-channel EEG system (LiveAmp Brain Product, Germany)
- **Electrode placement:** Standard 10–20 layout
- **Sampling rate:** 500 Hz
- **Recorded signals:**
- Continuous EEG across all conditions
- Event markers (trial start, trial end, pressure level, condition type, Start/End of Flexion/Extension moments)
- Subjective difficulty ratings in Trials_Info.mat files
**Data Format and Structure**
- **Format:** EEGLAB `.set`/`.fdt`
- **Organization:**
- Participants_Cleaned_with_ICA_Epoched_data folder contains fully processed EEG data (channel level and component level data in epoched format with time-warping info)
- Participants_Cleaned_with_ICA_nonEpoched_data folder contains fully processed EEG data (channel level and component level data in continuous format)
- Trials_Info folder contains events latencies, condition labels, and subjective ratings
- STUDY folder contains the .study files which were generated from repeated K-mean clustering (2000 repetitions)
- Events folder contains the text files including the type, description, and latencies of experimental events and synthesized events:
- Experimental Events (timely ordered):
- TS_Trial_Start: Start of Trial
- SB_Start_Beep: First single-beep auditory signal meaning the user should not perform actions which deteriorates EEG signals
- PC_Pressure_Change: The moment that compressor changes the PAM pressure (has specific sound effect whether pressure is increasing or decreasing)
- SM_Start_Move: Second single-beep auditory signal with higher pitch (to differentiate from the first one) meaning user should start the tracking task
- FB_Finish_Beep: A double-beep auditory signal with the same pitch as the first single-beep signal meaning the user should stop the tracking task
- SP_Score_Press: The moment the experimenter enters the announced score by the user. It was tried to press the score buttons as fast as possible after the user rates the task
- TE_Trial_End: End of Trial
- Synthesized Events:
- FlxS: Start of Flexion
- FlxE: End of Flexion
- ExtS: Start of Extension
- ExtE: End of Extension
- Metadata includes demographics
**Potential Applications**
- Identifying cortical features related to user effort and preference in exoskeleton-assisted movement
- Studying brain dynamics during motor tracking tasks with varying physical demands
- Developing passive brain–computer interfaces (BCIs) for personalized exoskeleton interaction
- Benchmarking EEG preprocessing and classification methods
The data is not directly available due to privacy reasons. Please contact Sportbiomechanik at TU Darmstadt if you want to gain access to the dataset