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BioMates - WP1: Novel pyrolysis oil from non-food/feed biomass - Data sheet: Identifiers for samples and blends
Get PDFAblative Fast Pyrolysis (AFP) is the first step in the BioMates-concept to convert herbaceous biomass into co-feed with reliable properties for conventional refineries (www.biomates.eu). The document defines samples and sample blends produced by Fraunhofer UMSICHT via AFP within the H2020-project BioMates.Adobe Acrobat Reade
Particle transport with piezoelectric micro diaphragm pumps
No full textExperimental data of particle transpor
Sets of exemplary microstructure-property data generated via active learning and numerical simulations
No full textThis publication contains three exemplary data sets generated via active learning and numerical simulations. The active learning approach used is query-by-committee. For comparison, data is also generated using classical sampling approachs. The first data set originates from a toy example that is based on an appoximated Dirac delta function, for which data was generated randomly and via query-by-committee. The second example is part of a parameter identification problem in materials modeling, for which data was generated via Latin Hypercube design, a knowledge-based approach and query-by-committee. The third example is about generating artificial bcc rolling textures, for which data was generated via Latin Hypercube design, query-by-committee and an extended query-by-committee approach that prevents sampling in regions out of scope
Detection of Breathing Movements of Preterm Neonates by Recording Their Abdominal Movements with a Time-of-Flight Camera
No full textRecorded video data of abdominal movement of preterm neonates (clinical study, approval ID: 8584_BO_S_2019) using a time-of-flight camera. In the clinical study, five frame sequences at a duration of 90 s each were acquired with each of five preterm neonates (a total of 25 sequences) at a frame rate of 45 fpsThis work was supported by funding from the European Union (EU) within its Horizon 2020 programme, project MDOT (Medical Device Obligations Taskforce), Grant Agreement 814654, and from the German Federal Ministry of Education and Research (BMBF), Grant Agreement GS2SH016.Python (Version 3.8
Energieverbrauchskurven von 499 Kunden aus Spanien
No full textPredictions of energy consumption are crucial for energy retailers to minimize deviations from energy acquired in the day-ahead market and the actual consumption of their customers. The increasing spread of smartmeters means that retailers have access to hourly consumption values of all their contracted customers in realtime. Using machine learning algorithms, these hourly values can be used to calculate predictions for the future energy consumption of the customers. The present data set allows the training and validation of AI-based prediction models.The dataset contains the measured energy consumption of 499 customers in Spain. The file 20201015_consumption.xlsx contains time series with an hourly resolution for each of the customers. The energy consumption is measured in kWh. In addition to energy consumption weather data is available. The file 20201015_weather.xlsx contains the outside temperature for the region of each customer as time series with an hourly resolution. The file 20201015_profiles.xlsx contains the meta data for the 499 customers. Each customer is assigned to one of the 68 customer profiles (such as private households, shops, bakeries)
Kompaktmodell für einen Einzelelektronentransistor in einer geschichteten Nanosäule - Implementierungen in HSPICE und EXCEL/VBA
No full textWithin the European Project IONS4SET a compact model for a single electron transistor (SET) was developed. The SET is formed by a silicon nanodot embedded in a silicon dioxide layer between two highly doped silicon electrodes. Here, the implementation of the compact model in HSPICE is provided for circuit simulation. In addition, a VBA implementation into Excel is provided which can be used to calculate circuit characterisitcs and stability diagrams.The provided implementation of the SET compact model was developed for HSPICE O-2018.09 from Synopsys, Inc. The VBA 7.1 implementation was developed for Excel2016 from Microsoft Corporation. For both, full examples with results are provided
Folgar Tucker constants fitted against simulations of various suspensions under shear and/or elongation
No full textThe Folgar Tucker model is an analytical model to predict the orientation of embedded particles within suspension under various kinds of deformation. The accuracy of the model is affected by a model parameter - the Folgar Tucker parameter. This dataset includes Folgar Tucker parameter that have been fitted against numerical simulations of suspension under three types of deformation that are shear, elongation or a combination of both. The simulations are performed in 2D with Smoothed Particle Hydrodynamic applying a two-way-coupling between the fluid and the solid phase. The suspension includes two types of different geometries that have either a disk shape or fiber shape. The suspension composition has been altered in terms of filling fractions of disks and fibers, size of the disks and the aspect ratio of the fibers. The Folgar Tucker model itself is precisely formulated but allows a certain degree of freedom with respect to the computation of the fourth order tensor. This fourth order tensor is often computed by a closure approximation. We show the fitted parameters for two closure approximations – the quadratic and hybrid closure
Rohdaten Empirischer Studien zur PhD Thesis "Role-Specific Views on Software Requirements Specifications" - An Empirical Approach
No full textThis data set comprises questionnaire data that was captured to investigate the relevance of requirements artifacts for conducting role specific tasks from the viewpoint of software architects, designers and software testers. Moreover, the data set includes questionnaire data of a case study that was conducted to investigate benefits and limitations of role-specific views on software requirements specifications. The data served as empirical baseline for several data analysis activities conducted within the scope of a PhD Thesis entitled "Role-Specific Views on Software Requirements Specifications - An Empirical Approach"
Experimental and Computational Micromechanical Fatigue Damage Initiation Data
No full textA dataset composed of experimental and computational data for microstructure-sensitive fatigue modeling. Micromechanical fatigue testing in the very high cycle fatigue regime, complementary analytical techniques (SEM, EBSD), multimodal data registration, deep learning damage segmentation, and crystal plasticity finite element method techniques were applied to create this dataset.Bosch-Forschungsstiftun
Vertrauen in digitale Verwaltung
No full textIn der Umfrage zu Vertrauen in die Verwaltung geht es um das Vertrauen der Bürger:innen in den Umgang mit Daten innerhalb der Verwaltung und Begründungen für mögliches Misstrauen. Ferner werden Einstellungen der Bürger:innen zu Potentialen der Verwaltungsdigitalisierung und die Nutzung der digitalen Steuererklärung Elster erhoben.
Für jede Umfrage werden neben den Datensätze (sowohl mit Werten als auch mit Label) die Fragebögen mit dem Codeschema bereitgestellt. Zusätzlich werden die von GMS verfügbaren Angaben zu den Methoden der Datenvalidierung, Bereinigung und Gewichtung der Datensätze bereitgestellt.Die Daten werden jeweils in zwei Formaten zugänglich gemacht. Formate für Daten (mit Werten und mit Labeln): .csv und .xlsx Formate für Fragebogen: .docx und .odt Formate für Methodenberichte: .pd