cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48662/daks-76
title: Simulationsmodell für die Auswirkungen verschiedener mietrechtlicher Umlagesysteme für Energie- und Modernisierungskosten auf Mieter und Vermieterinnen bei beispielhaften Gebäuden und Modernisierungsoptionen

description: Das Simulationsmodell dient der Berechnung der Wirtschaftlichkeit je dreier Energieeffizienz-Modernisierungen bei fünf ausgewählten Beispielgebäuden unter der Annahme vierer mietrechtlicher Umlagesysteme für Energie- und Modernisierungskosten. Das Modell entstand im Rahmen des FLAMME-Forschungsprojektes (Fairness, Lastenverteilung und Akzeptanz des Mietrechts bei Modernisierungen für Energieeffizienz), gefördert vom Bundesministerium für Wirtschaft und Klimaschutz, FKZ 03EI5231. Dem Forschungsverbund gehören an: Universität Kassel, Umweltbundesamt, ITG Dresden, FIW München. Das Modell errechnet über einen Zeitraum von 20 Jahren (2023-2042) u.a. Energiekosten und Miethöhen und ermöglicht den Vergleich zwischen den Zahlungsströmen bei Erhalt des energetischen Status Quo und der Durchführung energetischer Modernisierungen. Der Datensatz enthält fünf Excel-Spreadsheets mit Makros zur Berechnung der Zahlungen für die fünf Beispielgebäude. Weiterhin enthalten ist ein Excel-Spreadsheet ohne Makros zur Aggregation und Analyse der Ergebnisse der Sensitivitätsberechnung.
DOI: 10.48662/daks-480
title: Monte-Carlo simulation of the three dimensional transfer function for coherence scanning interferometry [Code/Data]

description: The provided code is meant to simulate the 3D transfer function of a coherence scanning interferometer (CSI), which is a new approach to describe the transfer behavior of optical systems containing a depth scan. The software code is a python script which calculates the 3D optical transfer function by using a Monte-Carlo method applying reversed sampling. The related mathematical details and can be found in the related publication. The system which is simulated by the code is set to a numerical aperture of 0.9 and considers only monochromatic illumination of 440 nm. The .h5 dataset contains the raw data from the CSI measurement shown as a comparison. A silicon mirror was used as an measurement object, while the CSI used in this case is a Linnik setup. The provided code imports this dataset, plots an interferogram from one pixel and calculates its spectrum as a comparison to the histograms computed by the statistical Monte-Carlo simulation. The .npz files contain the analytically calculated transfer functions, based on the universal fourier optics model. The file "TF_ps.npz" is for the monochromatic case of royal blue illumination, while the file "TF_ps_spec_rb.npz" considers an full width of half maximum (FWHM) of 20 nm of the illuminating royal blue LED as presented in the paper. Running the simulation code should work without adjustments other than the paths of the datasets which have to be imported. Make sure plots of datasets that are not provided or necessary are commented out.
DOI: 10.48662/daks-60
title: Surface slope measurement of steep silicon V-grooves using high NA Linnik interferometry [Dataset]

description: This dataset containes raw measurement data from a coherence scanning interferometer of the Linnik type. Two 0.95 NA objectives were used for this measurement. The wavelength used for all these measurements is 440 nm and the step size between every z-step is 20 nm. The measured sample contains several V-groove structures etched into silicon. The structure shown in the corresponding publication is the central V-groove structure.
DOI: 10.48662/daks-260
title: Exploiting the Full Potential of Power Electronics Converters by Optimizing Operating Parameters - Power Loss and Thermal Measurement Data

description: The trend towards an all-electric society leads to an increasing demand for highly efficient power converters. Especially power supplies for higher power applications are often realized by multi- (two-) stage converters. This underlying work contributes an integrative approach to model and optimize the power converter losses and thermal behavior of the different stages. For optimization, it is important to develop a loss model that is both adaptable and calculation efficient to minimize time for optimization. The presented loss model is based on physical equations and datasheet parameters to account for simple adaptability. At the same time, it relies on analytical equations wherever possible to reduce complexity. The work results in a deviation of loss estimation below 4 % for modeling the losses of a built-up prototype power supply. The transient thermal model achieves a deviation below 5.3 %. Model complexity is minimized enabling the execution on a 160 MHz microcontroller for digital control within 95 ms while performing converter control at the same time. The loss model is finally used to optimize control parameters to either decrease power losses at a given transfer power or to optimize output power while aligning with maximum component temperatures. An average power loss reduction of 17.1 % is achieved by operation point variant operating parameters referred to optimized constant parameters. In a second optimization approach a transient output power increase of 11.2 % during the first 30 minutes of operation is reached by actively controlling the loss distribution to exploit thermal impedances. This repository contains the power loss and thermal measurement data used to validate the loss and thermal model. It is provided in .tar archives as .csv files.
DOI: 10.48662/daks-17
title: Dataset of a parameterized U-bend flow for Deep Learning Applications

description: This dataset contains 10,000 fluid flow and heat transfer simulations in U-bend shapes. Each of them is described by 28 design parameters, which are processed with the help of Computational Fluid Dynamics methods. The dataset provides a comprehensive benchmark for investigating various problems and methods from the field of design optimization. For these investigations supervised, semi-supervised and unsupervised deep learning approaches can be employed. One unique feature of this dataset is that each shape can be represented by three distinct data types including design parameter and objective combinations, five different resolutions of 2D images from the geometry and the solution variables of the numerical simulation, as well as a representation using the cell values of the numerical mesh. This third representation enables considering the specific data structure of numerical simulations for deep learning approaches. The source code and the container used to generate the data are published as part of this work. IMPORTANT: In case you use the data please cite our corresponding article mentioned below
DOI: 10.48662/daks-13
title: Multivariate Heterogeneous Time Series Data for Machine-Learning-Supported Monitoring of a Motor Test Bench
DOI: 10.25549/pcra-ouc11399c572
title: Week of Prayer for ECB, New Year, 1984

description: Week of Prayer for Baptist Churches on the New Year for 1984.
DOI: 10.48662/daks-64
title: Navigating the Remanufacturing Trilemma: Balancing Customer, Manufacturer, and Lawmaker Interests [Repository]

description: The associated paper explores the trilemma between different circular economy stakeholders (customer, manufacturer and legislator). The overview database (2019-2024) contains 84 relevant papers (out of 880), which were reduced to 27 through analysis. In addition, findings from expert interviews are used to uncover conflicts and synergies. <br>The provided Excel file contains the researched literature and documents the process and findings. The main content is found in "References". Each PDF contains an interview protocol, numbered according to the paper’s Table 3. Each protocol contains a description of the expert and a discussion summary. <br>The provided presentation was used as a guide to conduct the interviews.
DOI: 10.48662/daks-84
title: Mulching effects on nutrient contents of potato foliage and Colorado potato beetle fitness [Dataset]

description: Application of organic mulches has repeatedly been shown to reduce infestation with Leptinotarsa decemlineata (Say) (Coleoptera: Chrysomelidae), the Colorado potato beetle (CPB). In order to determine if the nutritional status of potatoes as affected by mulch could explain the mulch effects in potatoes against CPB, we determined potato leaf nutrient composition in unmulched control plots and plots mulched with grass-clover or triticale-vetch and assessed mulch effects on CPB damage and development in the field during three years and under controlled conditions. In mulched plots, foliar Mo, Cl, and K contents were consistently higher than without mulch and leaf damage by CPB was reduced significantly. In addition, increased B contents were associated with undamaged plant material while higher Zn contents were associated with leaves damaged by CPB. Under controlled conditions, CPB fitness was not affected by mulch application. Overall, reduced CPB damage could not be clearly attributed to altered foliar nutrient contents due to mulching. It is thus more likely that CPB reductions in mulched systems are due to mechanisms other than an altered nutrient balance.
DOI: 10.48662/daks-35
title: Influence of Ethylene Oxide and Gamma Irradiation Sterilization Processes on the Properties of Poly-L-Lactic-Acid (PLLA) Materials [Dataset]

description: In order to encourage the substitution of petrochemical polymers in medical technology with sustainable, bio-based materials, there is an urgent need for further investigations, especially data regarding their sterility performance. Within the scope of the investigations, selected material properties of poly-L-lactic-acid (PLLA), a specific type of poly(lactic-acid) (PLA), were analyzed before and after sterilization (using ethylene oxide or gamma irradiation) in order to investigate deviations in its chemical structure, wettability, optical, and mechanical properties. In particular, parameters such as molecular weight, complex viscosity, tensile strength, water contact angle, and color were discussed. Sterilization temperatures close to the glass transition of PLA, high humidity, and interactions with the ethylene oxide molecules have resulted in an increase in crystallinity, a decrease in elongation at break, and in some cases, a variation in wettability. As a consequence of exposure to high-energy radiation, the material’s toughness is reduced due to chain scission, which is manifested through a decrease in molecular weight, an increase in crystallinity, and a partial change in surface energy. For the selected PLLA-materials (Luminy® L130, NP HT 202, and NP HT 203), ethylene oxide sterilization resulted in a comparatively minor variation in the characteristics behavior, and was chosen as the preferred method.
description: IMPORTANT: In case you use the data please cite our corresponding article: DOI: 10.3390/polym15163461
DOI: 10.48662/daks-18
title: Performance of Thermo-Mechanically Processed AA7075 Alloy at Elevated Temperatures—From Microstructure to Mechanical Properties

description: This data focuses on the high temperature characteristics of thermo-mechanically processed AA7075 alloy. An integrated die forming process that combines solution heat treatment and hot forming at different temperatures was employed to process the AA7075 alloy. Low die temperature resulted in the fabrication of parts with higher strength, similar to that of T6 condition, while forming this alloy in the hot die led to the fabrication of more ductile parts. Isothermal uniaxial tensile tests in the temperature range of 200–400 °C and at strain rates ranging from 0.001–0.1 s−1 were performed on the as-received material, and on both the solution heat-treated and the thermo-mechanically processed parts to explore the impacts of deformation parameters on the mechanical behavior at elevated temperatures. Flow stress levels of AA7075 alloy in all processing states were shown to be strongly temperature- and strain-rate dependent. Results imply that thermo-mechanical parameters are very influential on the mechanical properties of the AA7075 alloy formed at elevated temperatures.
description: IMPORTANT: In case you use the data please cite our corresponding article https://doi.org/10.3390/met10070884
DOI: 10.48662/daks-478
title: Anhang - Dissertation Lineare Versorgungstrassen. Konstruktionszeichnungen, methodische Grundlage, gebäudetechnische Auslegungen sowie Daten-Grundlagen zu Ökologie/Ökonomie

description: Dies ist der gesamte Anhang der Dissertation „Lineare Versorgungstrassen. Entwicklung eines neuen besonders flexiblen Systems zur Integration der Gebäudetechnik in Bürogebäude mit dem Ziel einer nachhaltigeren Nutzung“. Neben einer Übersicht der einzelnen Anhänge A bis I mit Planübersichten und Variantenanalysen der betrachteten gebäudetechnischen Gewerke (Lüftungs-, Heizungs-, Kühlungs-, und Elektrotechnik) umfasst der gesamte Datensatz unter anderem Konstruktionszeichnungen, Pläne zur Entwicklung der Methodik, gebäudetechnische Auslegungen, Datenblätter bereits bestehender Referenzsysteme sowie Daten-Grundlagen zur Erstellung von Ökobilanzen und zur Bewertung ökonomischer Aspekte.
description: This document constitutes the complete appendix of the dissertation “Linear supply routes. Development of a new, particularly flexible system for integrating building services into office buildings with the aim of promoting more sustainable use.” In addition to providing an overview of Appendices A through I — including plan summaries and variant analyses of the investigated building service systems (ventilation, heating, cooling, electrical supply) — the dataset also contains construction drawings, methodological development plans, technical design specifications, data sheets of existing reference systems, as well as foundational data for the preparation of life cycle assessments and the evaluation of economic parameters.
DOI: 10.48662/daks-12
title: Investigation of processing windows in additive manufacturing of AlSi10Mg for faster production utilizing data-driven modeling

description: To reduce production time and decrease production cost, the increase of layer thickness is an adequate option in powder bed fusion. To investigate the influence of high layer thicknesses in the production of parts, a wide range of process parameters must be considered since appropriate processing windows are expected to be very narrow. Therefore, exploring the design space solely by the use of experimental investigations would be inefficient. A more efficient way is to use experiments in combination with a mathematical modeling approach. Such an approach was made in the study described in https://doi.org/10.1016/j.addma.2022.102858. In order to determine the relationships between process parameters in laser powder bed fusion (PBF-LB/M) and final porosity in AlSi10Mg, samples were processed following a space-filling experimental design using a standard industrial PBF-LB/M system equipped with a 400 W laser. A total of 144 samples were fabricated considering layer thicknesses of 30 μm, 45 μm, 60 μm, and 90 μm. Afterwards, porosity was assessed using image analysis and computed tomography. Different types of defects were found as expected, however, fully dense parts were realized in case of every considered layer thickness. Predictive models were developed using data-driven approaches, eventually enabling multivariate analysis of the correlations and determination of appropriate processing conditions resulting in both low porosity of parts and high build rates.
description: This dataset provides the process parameter combinations and the porosity values which were used to develop the predictive models using data-driven approaches. Moreover, meta data about the experimental design, the sample manufacturing, the image capturing, and the porosity determination are given.
description: IMPORTANT: In case you use the data please cite our corresponding article https://doi.org/10.1016/j.addma.2022.102858
DOI: 10.48662/daks-54
title: Colorado potato beetle Leptinotarsa decemlineata avoids transferred organic mulch - insight from a mark release trial [Dataset]

description: The Colorado potato beetle Leptinotarsa decemlineata (Say) (CPB) is one of the most relevant pests in potato cultivation. Even in organic potatoes, CPB are often managed using organically certified insecticides that may also affect non-target organisms and increase the risk of insecticide resistance. Applying transferred organic mulch to potatoes has been shown to reduce egg masses and larvae of CPB, however, the underlying mechanisms remain unclear. To assess effects of mulch on initial infestation of CPB, marked individuals were released in the field between plots with transferred organic mulch and plots with bare soil and counted after 12 h in 2021 and 2022. In 2022, one additional assessment was carried out 72 h after release and eggs and larvae where assessed after 10 days. More than 75% of CPB adults preferred the unmulched plots, a major reason for the reduction of eggs and larvae in mulched potatoes found in previous field trials. Barrier effects, olfactory disruption or disorientation could be responsible for the reduction.
DOI: 10.48662/daks-502
title: Brownian motion of DNA-functionalized magnetic nanoparticles as a function of DNA length for conformation analysis beyond the optical resolution limit

description: Brownian motion provides access to hydrodynamic properties of nanoscale objects independent of their optical resolvability. Here, we present a diffusion-based approach to infer effective particle size distributions of DNA-functionalized magnetic nanoparticles (MNPs), consisting of a magnetic core and a polystyrene shell, in a regime where direct geometric sizing is limited by optical diffraction. Using multi-particle tracking microscopy, we analyze the Brownian dynamics of MNPs grafted with double-stranded DNA (dsDNA) of varying contour length under low-salt conditions. A physically motivated model is introduced that relates dsDNA contour length to an effective hydrodynamic diameter via an attenuated corona description. The measured diffusion coefficient distributions exhibit a systematic and monotonic dependence on dsDNA length in quantitative agreement with the model. While the tracked objects are predominantly dsDNA-mediated agglomerates rather than isolated nanoparticles, clustering does not obscure the length-dependent signal. Instead, the dsDNA corona determines the hydrodynamic scaling, whereas agglomeration mainly introduces an offset and distribution broadening. These results demonstrate that Brownian dynamics enables robust readout of biomolecular length scales even far below the optical resolution limit. The distribution-based approach is inherently tolerant to polydispersity and aggregation, making diffusion-based tracking a simple and promising strategy for future biotechnological and biomedical assays.
DOI: 10.48662/daks-69
title: Surface layer state after hard turning of 51CrV4

description: Description of the dataset:<br><br>Hard-turning experiments were conducted on cylindrical specimens made of a quenched and tempered (Q&T) steel 51CrV4<br>in different initial surface hardness levels, i. e. 400 HV30, 500 HV30 and 600 HV30. Prior to heat treatment,<br>all specimens were manufactured with the same roughness requirements in order to ensure an almost identical surface <br>finish before hard-turning. Three different sections of nine specimen of each hardness level<br>(i.e. in total 27 section-specific areas per hardness level) were machined with varied cutting parameters feed rate<br>(f), depth of cut (a_p) and cutting speed (v_c).<br>Hard-turning of the specimens was carried out on a servo-conventional lathe of type Weiler C30 using<br>polycrystalline boron nitride (PCBN) inserts with a corner radius of 0.8 mm.<br><br>After hard-turning, residual stress depth profiles were determined using X-ray diffraction (XRD),<br>respectively for each specific area of a specimen. Residual stress measurements were conducted using a<br>Pulstec μ-X360 diffractometer equipped with a 0.3 mm collimator and CrKα-radiation with an exposure time<br>of 120 sec. Depth profiles were determined by successive removal of the material surface layer using<br>electro-chemical polishing. The obtained data have been evaluated applying the cos α-method without consideration<br>of any mathematical stress correction.<br><br>Post process surface roughness in axial direction was determined using a Mitutoyo SJ-210 tactile roughness<br>measuring device. Post process Vickers hardness testing was carried out using a Struers DuraScan-70 system<br>employing a load of 294.2 N (HV30).<br>For more detailed information on the material and the experimental setup, i.e., chemical composition, specimen<br>geometry, machines and parameters used for hard-turning operations and post process measurements, the reader is<br>referred to [1].<br><br>A full factorial experiment design was used with two levels for the initial hardness levels H_Vinit and three<br>factors for the cutting parameters, f: {0.05 mm, 0.25 mm, 0.5 mm}, v_c: {100 m/min, 175 m/min, 250 m/min},<br>a_p: {0.05 mm, 0.25 mm, 0.5 mm}, resulting in 81 different combinations. For the residual stress depth profile<br>modeling, measurements for 12 different depths are available:<br>{0, 10, 20, 30, 40, 50, 60, 80, 100, 120, 150, 200} μm, providing for N = 972 samples in total.<br><br>Two data sets are provided:<br>1. "hardness_roughness_hard_turning.csv" with the 81 data points for the surface hardness and roughness measurements.<br>2. "residual_stress_profile_hard_turning.csv" with the 972 data points for the tangential residual stress depth profiles.<br><br>[1]     Thomas Wegener, Alexander Liehr, Artjom Bolender, Sebastian Degener, Felix Wittich, Andreas Kroll, & Thomas Niendorf,<br>        "Calibration and validation of micromagnetic data for non-destructive analysis of near-surface properties<br>        after hard turning" in HTM Journal of Heat Treatment and Materials, 2022, 77(2), 156-172.
DOI: 10.48662/daks-67
title: Verbraucherpräferenzen für Produkte aus hessischen Leguminosen aus konventioneller und ökologischer Erzeugung und mit verschiedenen Verarbeitungsgraden (LeguHe)
title: Legume Consumption and Sustainability - The Minority Goes Green

description: Bei dem vorliegenden Datensatz handelt es sich um eine online Verbraucher*innen-Befragung von Juli 2023 in Hessen, Deutschland. Eine standardisierte Befragung inklusive einer Information Display Matrix (IDM) erfasst die Einstellungen und Präferenzen von Verbraucher*innen von öko-regionalen Hülsenfrüchten mit unterschiedlichen Verarbeitungsgraden. Der bereinigte Datensatz enthält 1320 Personen.<br><br>Die Teilnehmenden wurden von einer privaten Marktforschungsagentur nach folgenden Kriterien in einem Online-Access-Panel rekrutiert:<br>- Wohnsitz in Hessen<br>- zumindest teilweise für den Lebensmitteleinkauf verantwortlich<br>- zumindest gelegentlicher Kauf von Bio-Lebensmitteln<br>- Verzehr von grünen Bohnen, Kidneybohnen, Erbsen, Lupinen, Kichererbsen, Linsen, Erdnüssen oder Sojabohnen mindestens alle 2-3 Monate<br>Personen, die in der Marktforschung tätig sind, wurden ausgeschlossen.
description: The present data set is an online consumer survey from July 2023 in Hesse, Germany. A standardized survey including an Information Display Matrix (IDM) captures the attitudes and preferences of consumers of organic regional legumes with different degrees of processing. The cleaned data set contains 1320 people.<br><br>The participants were recruited by a private market research agency in an online access panel according to the following criteria:<br>- Residence in Hesse<br>- at least partially responsible for food shopping<br>- At least occasional purchase of organic food<br>- Consumption of green beans, kidney beans, peas, lupins, chickpeas, lentils, peanuts or soybeans at least every 2-3 months<br>People working in market research were excluded.