cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48662/daks-33
title: Three-Dimensional Transfer Functions of Interference Microscopes [Dataset]

description: The 20IND07 TracOptic project has received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.
description: This dataset contains raw data obtained by a Mirau coherence scanning interferometer (50x, NA = 0.55, red LED with a central wavelength of 630 nm) and resulting 3D surface topographies. The raw data includes the depth response signals obtained from a diamond milled aluminum mirror. These data are evaluated using envelope as well as phase signal processing algorithms (the so-called LT-algorithm) with an evaluation wavelength of 670 nm, leading to the results presented in Figure 15 of the corresponding article mentioned below. Both the raw data as well as the results are saved in an HDF5 file format and can be used as shown by example codes programmed using the software Python and MATLAB. IMPORTANT: In case you use the data please cite our corresponding article mentioned below.
DOI: 10.48662/daks-474
title: Correlation between compounding parameters and the degradation of poly(lactic acid)/starch composites during the compounding process [Dataset]

description: Poly(lactic acid) (PLA) is one of the most important bioplastics with good mechanical properties and reduced environmental impact compared to petro-based plastics. In order to improve both sustainability and cost-efficiency, PLA can be filled with low-cost particles, such as native potato starch. However, during processing in a twin-screw extruder, PLA and starch are prone to thermal, hydrolytic, and mechanical degradation, which can deteriorate composite properties. This dataset systematically describes how key compounding parameters including screw speed and configuration, temperature profile and PLA pre-drying time influence the properties of PLA-starch composites containing 50 wt.% native potato starch. Various analytical methods were used to characterize the properties (Differential Scanning Calorimetry (DSC), Thermogravimetric Analysis (TGA), Melt Volume Rate (MVR), Scanning Electron Microscopy (SEM), color measurements). The results show that thermal properties remain largely unaffected by the chosen compounding parameters. In contrast, significant changes are observed in thermal stability, viscosity, color, and morphological structure with changes in process parameters. Higher screw speeds and temperatures increase thermomechanical stress, leading to a higher MVR value, indicating lower molecular weight. Color measurements reveal significant discoloration due to starch degradation and PLA chain scission, which correlate with increasing yellow and red tones and a decrease in brightness at higher thermomechanical stress due to elevated screw speed and temperatures. Overall, the data emphasizes the complex interactions between process parameters, in particular screw speed and temperature profile as well as the physicochemical properties of PLA-starch composites, providing valuable insights for the design of the compounding process in order to prevent pre-damage to the composites. <br>IMPORTANT: In case you use the data please cite our corresponding article.
DOI: 10.48662/daks-44
title: Empathie und KI_Zevedi_Wirtschaftspsychologie

description: Die Daten sind aus einem Experiment, welches zum Ziel hatte, zu untersuchen, ob das Feedback einer KI (vs. einem menschlichen Experten) zur Steigerung von Empathie in Emails führen kann. Das File enthält zum einen die vollen Daten aus dem Experiment und auf dem zweiten Blatt Erklärungen zu den erhobenen Variablen.
DOI: 10.48662/daks-491
title: Mechanical Properties of Normal Concrete

description: Normal concrete is the most widely used form of concrete, and its mechanical properties can vary due to variations in raw-material quality, dosage errors, and changes in material storage, mixing, and curing conditions, even when a fixed reference mix design is used. This variability constitutes a reproducibility challenge for concrete production under fixed formulations. This dataset examines the effects of variations in raw-material condition and process parameters on the mechanical properties of normal concrete produced from a base mix design targeting a 65 MPa compressive strength. The dataset comprises 32 systematically designed experiments. Compressive strength was measured at 1 day (24 hours), 7 days, and 28 days after mixing. Where available, the reported values represent the average of three specimens per experiment. In addition, five fresh-state properties were measured immediately after each mixing process (temperature, electrical conductivity sensor reading, slump-flow, V-funnel flow time, and air content). All experiments were conducted in the laboratory of G.tecz Engineering GmbH under controlled conditions using the same mixer, mixing tools, and personnel. The dataset provides high-dimensional experimental data with a limited number of observations and is suitable for developing and evaluating regression models in sparse scenarios.
DOI: 10.48662/daks-50
title: Differentiation between Hydrolytic and Thermo-Oxidative Degradation of Poly(lactic acid) and Poly(lactic acid)/Starch Composites in Warm and Humid Environments [Dataset]

description: For the application of poly(lactic acid) (PLA) and PLA/starch composites in technical components such as toys, it is essential to know their degradation behavior under relevant application conditions in a hydrothermal environment. For this purpose, composites made from PLA and native potato starch were produced using twin-screw extruders and then processed into test specimens, which were then subjected to various one-week ageing processes with varying temperatures (23, 50, 70, 90 °C) and humidity levels (10, 50, 75, 90%). This was followed by mechanical characterization (tensile test) and identification of degradation using Gel Permeation Chromatography (GPC), Thermogravimetric Analysis (TGA), Fourier Transform Infrared Spectroscopy (FTIR), and Nuclear Magnetic Resonance spectroscopy (NMR). With increasing temperature and humidity, there was a clear degradation of the PLA, which could be reduced or slowed down by adding 50 wt.% starch, due to increased crystallinity. Hydrolysis was identified as the main degradation mechanism for PLA and PLA/starch composites, especially above the glass transition temperature, with thermo-oxidative degradation also playing a subordinate role. Both hydrolytic degradation and thermo-oxidative degradation led to a reduction in mechanical properties such as tensile strength. In case you use the data please cite our corresponding article (https://doi.org/10.3390/ma17153683).
DOI: 10.48662/daks-46
title: Frequency selective illumination for high aperture coherence scanning 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 450 nm and the step size between every z-step is 20 nm. Information about the different apertures used for the measurements are described in detail in the corresponding publication. IMPORTANT: In case you use the data please cite our corresponding article mentioned below.
DOI: 10.48662/daks-485
title: Transkript des zweiten Projekttreffens 'Wie Bilder laufen lernten'

description: Der Datensatz stammt aus der Dissertation „Das außerunterrichtliche Lernangebot ‚Kinder-Uni‘ als Ressource für den Ausbau kindlicher Diskurskompetenz: Rekonstruktion explanativer diskursiver Praktiken in einem ausgewählten Lehr-Lernarrangement für Schüler/innen der Primarstufe“. Die gesprächsanalytisch orientierte Studie untersucht das Potenzial des außerunterrichtlichen Lernangebots ‚Kinder-Uni‘ für die Förderung diskursiver Fähigkeiten von Grundschulkindern, besonders im Kontext von Bildungsbenachteiligung bei Kindern mit Zuwanderungshintergrund. Analysiert werden Interaktionen zwischen Kindern und Studierenden, wobei rekonstruiert wird, wie beide Seiten die Relevanz kindlicher Erklärungen herstellen und gesprächsstrukturelle Aufgaben gemeinsam bearbeiten. Die Ergebnisse zeigen, dass das Lehr-Lernarrangement Potenzial zur Förderung von Erklärkompetenz besitzt, insbesondere hinsichtlich der Dimensionen „Kontextualisierung“ und „Vertextung“. Im Lehr-Lernarrangement „Wie Bilder laufen lernten“ erstellen Lehramtsstudierende gemeinsam mit mehrsprachig aufwachsenden Grundschulkindern einen Legomännchen-Film. Beim zweiten Projekttreffen beschäftigen sich die Kinder zunächst damit, wie viele Einzelbilder nötig sind, um eine Bewegung sichtbar zu machen. Danach entwickeln sie gemeinsam die Handlung des Films, besorgen geeignete Materialien und nehmen erste Probebilder auf. Transkriptionskonventionen: GAT2 – Basistranskript<br>Ursprungsdatei: Audioaufnahme mit einem Audio-Recorder ZOOM H1n
DOI: 10.48662/daks-256
title: High-Resolution Differential Topography Measurement Using Adaptive Linnik Interferometry [Dataset]

description: In order to validate a new sample alignment algorithm, measurements were performed by a home-built Linnik interferometer (100x, NA=0.90 and 133x, NA = 1,1). The dataset contains image stacks obtained by the Linnik interferometer. Two Measurements were carried out as an adaptive measurement where the reference object ist the same as the measurement object. The remaining measurements were carried out in a conventional manner with a plane mirror as reference. If you use the data please refer to our corresponding article mentioned below.
DOI: 10.48662/daks-71
title: Ökologische Lebensmittelverarbeitung aus Sicht der Verbraucher_innen (ProOrg) [Dataset]
title: Ein Teilprojekt des ERA-Net Core Organic Cofund Projektes "Erarbeitung eines Code of Practice (CoP) für die ökologische Lebensmittelverarbeitung"
title: Consumer Perspectives on Processing Technologies for Organic Food [Dataset]
title: Code of Practice (CoP) for organic food processing (ProOrg)

description: Bei dem vorliegenden Datensatz handelt es sich um eine qualitative Verbraucher*innen-Studie von März 2019. Insgesamt wurden neun Fokusgruppendiskussionen mit insgesamt 84 Teilnehmenden in Deutschland und der Schweiz durchgeführt. Die Stichprobe bestand aus Personen, die mindestens alle zwei Wochen Bioprodukte kauften. Die Teilnehmenden wurden von einer privaten Marktforschungsagentur  in einem Online-Access-Panel rekrutiert. Jede Fokusgruppe wies folgende sozio-ökonomische Kriterien auf: <br>- 33% bis 66% weiblich<br>- 50% zwischen 18 und 45 Jahren und 50% zwischen 46 und 75 Jahren<br>- sowie mindestens 33% und maximal 66% voll- oder teilzeitbeschäftigt<br><br>Die Fokusgruppen wurden im März 2019 durchgeführt und dauerten 90 Minuten. Die Wissenschaftlerin moderierte die Fokusgruppen weitgehend selbst, gemäß einem locker strukturierten Diskussionsleitfaden. Die Audioaufnahmen wurden von einem professionellen Transkriptionsbüro vollständig transkribiert.
description: This data set is a qualitative consumer study from March 2019. A total of nine focus group discussions were conducted with a total of 84 participants in Germany and Switzerland. The sample consisted of people who bought organic products at least once every two weeks and were recruited via a private market research agency from an online access panel. Each focus group had the following socio-economic criteria: <br>- 33% to 66% female<br>- 50% between 18 and 45 years old and 50% between 46 and 75 years old<br>- and at least 33% and a maximum of 66% employed full or part-time<br><br>The focus groups were conducted in March 2019 and lasted 90 minutes. The researcher moderated almost all focus groups herself, following a loosely structured discussion guide. The audio recordings were fully transcribed by a professional transcription agency.
DOI: 10.48662/daks-65
title: Verbraucherpräferenzen für (Bio-) Äpfel mit unterschiedlichen äußeren Schalenqualitäten (PSSYSTEMBIOOBST)
title: Perfect apples or sustainable production?—Consumer perspectives from Germany

description: Bei dem vorliegenden Datensatz handelt es sich um eine online Verbraucher*innen-Befragung von Juni 2020 in Deutschland. Eine standardisierte Befragung inklusive einer kontingenten Bewertung erfasst die Kaufhäufigkeiten, Einstellungen, Präferenzen und Zahlungsbereitschaften von Verbraucher*innen zu (Bio-)Äpfeln mit unterschiedlich starken visuellen Makeln (Handelsklasse I, Handelsklasse II, suboptimal). Der bereinigte Datensatz enthält 842 Personen. Die Teilnehmenden wurden von einer privaten Marktforschungsagentur nach folgenden Kriterien in einem Online-Access-Panel rekrutiert: (Mit-)verantwortlich für Lebensmitteleinkäufe Mindestens gelegentlicher Konsum von Biolebensmitteln Konsum von Äpfeln Alter 18 bis 75 Jahre, möglichst repräsentative Verteilung für Deutschland Möglichst repräsentative Verteilung nach Regionen in Deutschland Circa 60-70% Frauen, da auch heutzutage noch mehr Frauen für den Lebensmitteleinkauf zuständig sind. Ausgeschlossen wurden Personen, die in der Landwirtschaft oder der Marktforschung tätig waren.
description: This data set is an online consumer survey conducted in Germany in June 2020. A standardised survey including a contingent rating records the purchase frequencies, attitudes, preferences and willingness to pay of consumers for (organic) apples with varying degrees of visual blemishes (commercial class I, commercial class II, suboptimal). The adjusted data set contains 842 people. The participants were recruited by a private market research agency in an online access panel according to the following criteria (Jointly) responsible for food purchases At least occasional consumption of organic food Consumption of apples Age 18 to 75 years, distribution as representative as possible for Germany As representative a distribution as possible by region in Germany Approximately 60-70% women, as even today more women are responsible for grocery shopping. People who worked in agriculture or market research were excluded.
DOI: 10.48662/daks-29.2
title: Performance and meat quality of 58 Angler Saddleback pigs (supplemental data)

description: The two datasets consists of phenotypes of 58 Angler Saddleback pigs related to performance, carcass and meat quality traits. The pigs were fattened at an experimental farm of the University of Kiel between 2018 and 2020. The first dataset is related to the publication "Performance, carcass quality and meat quality of the endangered German Angler Saddleback pig" (DOI: 10.1371/journal.pone.0300361). The second dataset is related to the publication "Fatty acid composition and genome-wide association analysis for intramuscular fat and backfat of the Angler Saddleback pig".
DOI: 10.48662/daks-487
title: Transkript des vierten Projekttreffens 'Wie Bilder laufen lernten'

description: Der Datensatz stammt aus der Dissertation „Das außerunterrichtliche Lernangebot ‚Kinder-Uni‘ als Ressource für den Ausbau kindlicher Diskurskompetenz: Rekonstruktion explanativer diskursiver Praktiken in einem ausgewählten Lehr-Lernarrangement für Schüler/innen der Primarstufe“. Die gesprächsanalytisch orientierte Studie untersucht das Potenzial des außerunterrichtlichen Lernangebots ‚Kinder-Uni‘ für die Förderung diskursiver Fähigkeiten von Grundschulkindern, besonders im Kontext von Bildungsbenachteiligung bei Kindern mit Zuwanderungshintergrund. Analysiert werden Interaktionen zwischen Kindern und Studierenden, wobei rekonstruiert wird, wie beide Seiten die Relevanz kindlicher Erklärungen herstellen und gesprächsstrukturelle Aufgaben gemeinsam bearbeiten. Die Ergebnisse zeigen, dass das Lehr-Lernarrangement Potenzial zur Förderung von Erklärkompetenz besitzt, insbesondere hinsichtlich der Dimensionen „Kontextualisierung“ und „Vertextung“. Im Lehr-Lernarrangement „Wie Bilder laufen lernten“ erstellen Lehramtsstudierende gemeinsam mit mehrsprachig aufwachsenden Grundschulkindern einen Legomännchen-Film. Beim vierten Projekttreffen setzen die Kinder die Dreharbeiten um. Nach der Bearbeitung und dem Zusammenfügen der Aufnahmen am Laptop („im Studio“) wird das Projekt abgeschlossen. Transkriptionskonventionen: GAT2 – Basistranskript<br>Ursprungsdatei: Audioaufnahme mit einem Audio-Recorder ZOOM H1n
DOI: 10.48662/daks-257
title: Effect of organic mulching in potatoes on ground-dwelling predator species [Dataset]

description: This repository contains data and R code from three large-scale field experiments (2021a, 2021b, and 2022) conducted on organic potato fields near Witzenhausen / Göttingen, Germany, investigating the effects of different organic mulching treatments (triticale/vetch, straw, grass silage) versus unmulched controls on ground-dwelling generalist predators—specifically carabid beetles and spiders. These predators provide essential ecosystem services in agriculture by preying on pests, but their biodiversity is threatened by intensification, pesticide use, and climate change. Arthropods were sampled using pitfall traps, yielding 12,076 carabids (42 taxa) and 2,399 spiders (38 taxa). Organic mulching, particularly with triticale/vetch, significantly increased the abundance of key beneficial species such as Bembidion lampros, B. quadrimaculatum, Poecilus cupreus (carabids), and Erigone atra, E. dentipalpis, Agyneta rurestris (spiders). Community composition differed markedly between mulched and control plots, as shown by NMDS and PERMANOVA analyses, likely due to increased habitat complexity, altered microclimate, and enhanced prey availability under mulch. The dataset consists of species-level arthropod counts. R code is provided for data cleaning, descriptive summaries, mixed model analyses, diversity and ordination analyses, indicator species tests, and visualization (using tidyverse, vegan, glmmTMB, DHARMa, multcomp). These resources enable reproducible analysis of how organic mulching supports beneficial arthropod populations and contributes to integrated pest management.
DOI: 10.48662/daks-11
title: Synthetic Photovoltaic and Wind Power Forecasting Data

description: Photovoltaic and wind power forecasts in power systems with a high share of renewable energy are essential in several applications. These include stable grid operation, profitable power trading, and forward-looking system planning. However, there is a lack of publicly available datasets for research on machine learning based prediction methods. This dataset provides an openly accessible time series dataset, as detailed in https://doi.org/10.48550/arXiv.2204.00411, with realistic synthetic power data. Other publicly and non-publicly available datasets often lack precise geographic coordinates, timestamps, or static power plant information, e.g., to protect business secrets. On the opposite, this dataset provides these. The dataset comprises 120 photovoltaic and 273 wind power plants with distinct sides all over Germany from 500 days in hourly resolution. This large number of available sides allows forecasting experiments to include spatial correlations and run experiments in transfer and multi-task learning. It includes side-specific, power source-dependent, non-synthetic input features from the ICON-EU weather model. A simulation of virtual power plants with physical models and actual meteorological measurements provides realistic synthetic power measurement time series. These time series correspond to the power output of virtual power plants at the location of the respective weather measurements. Since the synthetic time series are based exclusively on weather measurements, possible errors in the weather forecast are comparable to those in actual power data. We are incredibly thankful to Enercon (www.enercon.de) for providing information on turbine characteristics. We are also grateful to the German weather service - DWD (www.dwd.de), for providing an open and excellent API to access weather forecasts. IMPORTANT: In case you use the data please cite our corresponding article https://doi.org/10.48550/arXiv.2204.00411.
DOI: 10.48662/daks-4.2
title: Das PDA-Print-Modell der UB/LMB Kassel: Mehrwert für Nutzer und Mitarbeiter

description: Forschungsdaten zur Masterarbeit im Rahmen des Weiterbildenden Masterstudiengangs Bibliotheks- und Informationswissenschaft im Fernstudium mit dem Titel "Das PDA-Print-Modell der UB/LMB Kassel: Mehrwert für Nutzer und Mitarbeiter" von Birte Cordes. Es handelt sich um Rohdaten aus der Datenbank des PDA-Print-Projekts der UB/LMB Kassel aus dem Zeitraum 05.01.2015 bis 31.12.2017 und Auswertungen auf Grundlage dieser Rohdaten. Erläuterungen des Inhalts der einzelnen Dateien finden sich in der zugehörigen Masterarbeit.
DOI: 10.48662/daks-477
title: Micromagnetic measurement of the surface layer state in hard turned 51CrV4 steel

description: Description of the dataset: This data set contains measurement data from a micromagentic sensor that allows for non-destructive, in-process material characterization of the mechanical properties of ferromagnetic components. It contains 82 features that were measured using a MM sensor as input variables and corresponding reference measurements of the residual stress and hardness as outputs. The parts that were measured are from hard turning experiments of quenched and tempered (Q&T) steel 51CrV4 in different initial surface hardness levels, i. e. 400 HV30, 500 HV30 and 600 HV30. For details on the manufacturing process, please refer to https://doi.org/10.48662/daks-69. The MM measurements were carried out using a 3MA-II device from Fraunhofer IZFP. The sensor utilizes four measurement methods: Barkhausen noise, incremental permeability, multi-frequency Eddy current analysis and harmonic analysis of the tangential magnetic field strength, resulting in 41 features that are extracted from the measurement curves. The data set includes 81 data points with 82 input variables. By using two different magnetization amplitudes, 82 input variables are available. As output variables the surface hardness is available and two characteristic values for the near surface residual stress state: the residual stress on the surface, i.e. at depth 0 micrometer and the maximum compressive residual stress. These values where extracted from the residual stress depth profiles. The residual stress was measured with X-ray diffraction, using a Pulstec μ-X360 diffractometer. Post process Vickers hardness testing was carried out using a Struers DuraScan-70 system. The supplied .csv contains 82 columns with features from the MM measurements and 3 columns with the reference measurements: ES1 (surface residual stress), ES2 (maximum compressive residual stress) and HV (surface hardness). The Readme.txt contains further details about the data set. For more details on the sensor and the experimental setup, please refer to [1]. [1] Thomas Wegener, Alexander Liehr, Artjom Bolender, Sebastian Degener, Felix Wittich, Andreas Kroll & Thomas Niendorf, "Calibration and validation of micromagnetic data for non-destructive analysis of near-surface properties after hard turning" in HTM Journal of Heat Treatment and Materials, 2022, 77(2), 156-172.
DOI: 10.48662/daks-40
title: S-MSRRS5000: A Simulated Dataset Highlighting the Challenges of Data Obtained From Multiple Spatially Resolved Reflection Spectroscopy

description: Optical sensors based on spectroscopy are occasionally used in consumer healthcare and wellness applications. This includes applications such as measuring the concentration of cutaneous carotenoids using sensors based on multiple spatially resolved reflection spectroscopy (MSRRS). Processing the data yielded from MSRRS-based sensors poses unique challenges. When using machine learning for data processing, specialized models such as continuous feature networks are required to achieve good results. However, due to privacy issues of medical data, data availability is low, hindering model development. S-MSRRS5000 is a simulated dataset, highlighting the challenges of data from MSRRS-based sensors. These challenges are presented as four different challenge sets with increasing prediction difficulty, with 5000 simulated measurements per challenge set.