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Mapping of samples – Fuels from Reliable Bio-based Refinery Intermediates: BioMates, Schulzke et al., 2020, DOI:10.1007/s12649-019-00625-w
Get PDFIn the H2020-project BioMates (www.biomates.eu, Grant Agreement No. 727463), Fraunhofer UMSICHT produced samples from ablative fast pyrolysis (AFP) of herbaceous biomass in a TRL 4-plant. A dedicated document provides identifiers for relevant liquid samples and their blends (DOI: 10.24406/fordatis/156). The document at hand maps it to the AFP-derived substances reported to be used in the article "T. Schulzke, S. Conrad, B. Shumeiko, M. Auersvald, D. Kubička, L. F. J. M. Raymakers; Fuels from Reliable Bio-based Refinery Intermediates: BioMates; Waste and Biomass Valorization (2020) 11:579–598; DOI:10.1007/s12649-019-00625-w", and provides further identifiers for samples not indexed earlier.Read with: Adobe Acrobat Reade
Data sets for paper and SM: Magnetic-field-dependent stimulated emission from nitrogen-vacancy centres in diamond
No full textData presented in the figures of the research article and Supplementary Materials of: Magnetic-field-dependent stimulated emission from nitrogen-vacancy centres in diamon
Technology commitment of high responsibility teams
No full textThe aim of the present study is to survey the technology commitment of dispatchers in fire and emergency centers, physicians and EMS professionals, and to develop a short scale for specific Technology Commitment with regard to intelligent systems, as they are to be developed and implemented in the SPELL project.The study was conducted as part of the SPELL project.Questionnaire, data sheet, analysis (code
Zusatzdokumente für "Leitfaden für den ortsflexiblen Einsatz von kollaborativen Robotern"
No full textErgänzende Informationen (u. a. Vorlagen, Checklisten) und Hilfsdokumente für den "Leitfaden für den ortsflexiblen Einsatz von kollaborativen Robotern".PDF-A, Excel 201
Reports from Hydrofracturing Tests Performed in the Greater Ruhr Region (Germany) between 1986 and 1995
No full textThis compilation presents final and preliminary written reports from hydrofracturing tests carried out between 1986 and 1995 in six, now abandoned, coal mines and two coal bed methane boreholes at depths between 600 and 1950 m within the greater Ruhr region in western Germany.The data is saved in .pdf file format. An additional file with data description is attached. The reports are written in the English and German languages
For Paper: Ebbers, Karaboga (2022): Influencing Factors for Users' Privacy and Security Protection Behavior in Smart Speakers: Insights from a Swiss User Study. The 4th Workshop on Security, Privacy, Organizations, and Systems Engineering, held at ESORICS 2022
Get PDFThis document represents the original questions for the survey conducted in the paper “Influencing Factors for Users' Privacy and Security Protection Behavior in Smart Speakers: Insights from a Swiss User Study” by Frank Ebbers and Murat Karaboga. Original screenshots and the questions in text are present in German, French and Italian.Gefördert von: Stiftung für Technologiefolgen-Abschätzung TA-Swis
Referenzdatensätze zur Erkennung von Anomalien im Fertigungsprozess von spanenden Werkzeugmaschinen
Get PDFThe present data sets were created and published within the project "Glassist - Smart-Glass-based Assistance System for Machine Tools". The project is being carried out in collaboration with the project partners Nuromedia GmbH, Oculavis GmbH, Innolite GmbH and Starrag Technology GmbH. The data sets can be assigned to series of experiments. The individual experiments were carried out with a process-integrated measuring system on a machine tool under process parameter variations. In an attached documentation, the data sets are described in detail and notes on interpretation are presented.Das Vorhaben »Glassist – Smart-Glass-based Assistance Systems for Machine Tools« wird aus Mitteln des Europäischen Fonds für regionale Entwicklung (EFRE) gefördert.
Förderkennzeichen: EFRE-08013957-ZipHDFView SoftwareMatlabPython
Dataset for multi-camera depth reconstruction
No full textThis dataset is composed from three different scenes with a varying number of takes per scene. The images have been generated using CARLA, a framework for autonomeous driving. In the dataset, an autonomeous car is exploring an urban area under different lighting and weather conditions.
In each take, the car is equipped with three front-facing cameras capturing the scenery. Besides pure RGB image data, the dataset features ground-truth depth information encoded as described here: https://carla.readthedocs.io/en/latest/ref_sensors/#depth-camera
The camera parameters and capture setup is as follows:
Field of view: 110°
Resolution: 1920 x 1080
Number of takes:
Scene 1: 41
Scene 2: 23
Scene 3: 20
Camera baseline
Scene 1: 0.280833m (2.17m/12)
Scene 2 and 3: 0.1mThis dataset is composed from three different scenes with a varying number of takes per scene. The images have been generated using CARLA, a framework for autonomeous driving. In the dataset, an autonomeous car is exploring an urban area under different lighting and weather conditions.
In each take, the car is equipped with three front-facing cameras capturing the scenery. Besides pure RGB image data, the dataset features ground-truth depth information encoded as described here: https://carla.readthedocs.io/en/latest/ref_sensors/#depth-camera
The camera parameters and capture setup is as follows:
Field of view: 110°
Resolution: 1920 x 1080
Number of takes:
Scene 1: 41
Scene 2: 23
Scene 3: 20
Camera baseline
Scene 1: 0.280833m (2.17m/12)
Scene 2 and 3: 0.1
The analysis of fluorescence fluctuations by means of the mean single-molecule rate (mSMR) [source data]
No full textThis data set contains the measurement data for the dissertation "The analysis of fluorescence fluctuations by means of the mean single-molecule rate (mSMR)." The measurement data are stored as Python pickle objects (.pkl). The Python scripts for reading the data, for the analysis as well as for the generation of the plots are attached to the data set
In-Situ Stress Orientation Data from the Greater Ruhr Region (Germany) Derived from Hydrofracturing Tests and Borehole Logs
No full textThis compilation presents in-situ stress orientations derived from hydrofracturing tests and borehole logs carried out in six, now abandoned, coal mines within the greater Ruhr region in western Germany. All stress information was analysed and compiled in a standardized format and quality-ranked, using the established quality ranking schemes of the World Stress Map (WSM) project, for reliability and comparability. The compilation displays A-C quality of in-situ stress orientation data records. The database presents unique and high-quality stress input data for future reservoir and geomechanical numerical models and should aid the subsurface operations in the region. More detailed information on the WSM quality ranking scheme, guidelines for the various stress indicators, and software for stress map generation and the stress pattern analysis is available at http://www.world-stress-map.org.The funding of the Geothermale Papiertrocknung project (EFRE-0801837) depicting the frameworks for the elaboration of the present study, by the European Union and the Ministry for Economic Affairs, Innovation, Digitalization and Energy of the State of North Rhine-Westphalia and the Ministry of Culture and Science of the State of North Rhine-Westphalia, respectively, is greatly appreciated. The funding of the 3DRuhrMarie (“FHprofUnt2016”) project from the German Federal Ministry of Education and Research and geomecon GmbH is also acknowledged.The data is saved in .csv file format. Additional file with data description is attached