Fraunhofer Institute for Wind Energy Systems
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Data for the prediction of the friction torque of scaled blade bearings in a test rig using machine learning
No full textMeasurement data and python scripts for machine learning models of the friction torque in a test rig for scaled blade bearings ("BEAT1.1"). Measurement data is given as .parquet-files for several different bearing combinations. A Jupyter Notebook for the models is included..parquet-files for the data can be read with Python. The main code can be executed with Jupyter Notebook
Attitude of Emergency Dispatchers Towards Artificial Intelligence – A Black Box of Expectations
No full textIntroduction: AI is transforming various industries, especially healthcare and emergency services. For example, AI helps with clinical decision support, detects cardiac arrest and stroke during calls, and manages text-to-speech translation. On the human-centered side, the societal and personal impacts of AI and other technologies are significant but under-researched. Therefore, this study examines the belief systems of emergency dispatchers regarding AI applications. Methods: From September 2021 to September 2023, eight extensive interviews were conducted with a total of 31 individuals, lasting over 619 minutes. Following grounded theory, the interview guide was iteratively adapted to support theory development. Results: The interviews revealed a high level of commitment to their profession and a strong appreciation and interest in research. While many issues within public safety and answering points (PSAPs) and the healthcare system were identified, few concrete ideas for AI-based solutions were mentioned. In addition to the common assumption of high mental workload in emergency call centers and the need for AI systems to be understandable, there are notable differences in the belief systems of dispatchers and other experts. These differences often lead to a more negative attitude towards AI, which is influenced by job status, AI knowledge and qualifications. However, the ability to reflect can mitigate these limitations. AI can support dispatchers who have to handle complex tasks under time pressure, information deficits and uncertainty. Conclusion: In addition to the assumption of high mental workload and the need for understandable AI systems, dispatchers and other experts have different belief systems. These can lead to a negative attitude towards AI, which is influenced by job status, AI knowledge and qualifications, although reflection can help to mitigate this. AI can support dispatchers to handle complex tasks under pressure, information deficits and uncertainty. To prevent rejection of AI and raise awareness of its opportunities and risks, a comprehensive package of measures such as the one we have introduced is needed
Supplementary material to the study on exploring residential space use patterns
No full textThe three files are supplementary material to the study "Exploring residential space use patterns: Findings from a multi-country survey". They contain the survey questions, the validation process of the collected sample and the results of the hierarchical clustering
MaterioMiner - An ontology-based text mining dataset for extraction of process-structure-property entities
No full textThis repository contains named-entity recognition (NER) datasets for four materials science and engineering (MSE) publications and utility functions to handle the data. The scope of the scholarly articles used as a basis is crystallographic defects, microstructure, mechanical properties in particular fatigue. Each annotation corresponds to a class in a materials science domain ontology called materials mechanics ontology. This should prospectively enable linking materials knowledge and data to facilitate training neurosymbolic machine learning models.
Two dataset variants are published:
coarse-grained named-entity recognition (CG-NER) where the annotated concepts are high-level ontological classes
fine-grained named-entity recognition (FG-NER) where the annotated concepts are low-level ontological classes
Aside from the link to the ontology a characteristic of the dataset is its high degree of of annotation. Namely, 179 distinct ontological classes and 27% of all tokens are annotated in the fine-granular dataset.The authors express their gratitude to the German Federal Ministry of Education and Research (BMBF) for the funding in the scope of the iBain project (13XP5118B) as part of MaterialDigital.Please follow the readme.md file
ÖFIT Bevölkerungsumfrage 2021
No full textDie Befragung umfasst verschiedene Aspekte der digitalen Lebensgewohnheiten. Es werden Fragen zur Internet- und Smartphone-Nutzung gestellt, die Einstellung gegenüber digitalen Technologien abgefragt und das Nutzungsverhalten im Privatleben beleuchtet. Themen wie Online-Shopping, digitale Kulturveranstaltungen, politische Inhalte (Bundestagswahl) in der digitalen Kommunikation und die Bedeutung von Medien für die Meinungsbildung während der Pandemie werden untersucht. Die Umfrage adressiert auch die Nutzung digitaler Verwaltungsangebote, das mobile Arbeiten, ehrenamtliches Engagement sowie die Freigabe persönlicher Daten im Internet. Digitale Kompetenzen, insbesondere das Verständnis von App-Einstellungen auf Smartphones, werden ebenfalls abgefragt. Insgesamt bietet die Befragung einen umfassenden Einblick in die digitale Lebenswelt der Teilnehmenden und ihre Haltung gegenüber digitalen Technologien. Für die Umfrage wird neben dem Datensatz (in zwei Versionen: sowohl mit Werten als auch mit Label) auch der Fragebogen mit dem Codeschema bereitgestellt. Zusätzlich werden die vom Dienstleister verfügbaren Angaben zu den Methoden der Datenvalidierung, Bereinigung und Gewichtung der Datensätze bereitgestellt.Bitte README beachten. Die Daten werden jeweils in zwei Formaten zugänglich gemacht. Formate für Daten (mit Werten und mit Label): .csv und .xlsx Formate für Fragebogen: .docx und .odt Formate für Methodenberichte: .pd
Weather and Heatprofiles
No full textThis dataset is linked to the article submitted at ISEC 2024 "Sustainable Heat Supply for Greenhouses with Heatpumps". It contains: 1. weather data (hourly) from Test Reference Year 2011 in Straelen and 2. the hourly heat demand profile of the greenhouse that were used to simulate the different scenarios. The heat demand profile was calculated with Hortex using the same weather data and summarizes all 18 greenhouses of the considered company together in one value.Im Vorhaben soll das Potenzial von wärmepumpenbasierten Heizsystemen zur Defossilisierung des gewerblichen Gartenbausektors bewertet werden. Hierzu sollen die enormen technischen Weiterentwicklungen dieser Technologie in den vergangenen Jahren sowie das Potenzial zur weiteren Adaptionen an spezifische Anforderungen für bis zu drei unterschiedliche Einsatzszenarien von Gewächshäusern (Fallstudien abgeleitet von realen Betrieben) untersucht werden. Dazu sollen die Kompetenzen und Methoden, die das Fraunhofer ISE seit Jahren hinsichtlich des Einsatzes von Wärmepumpen zur Beheizung von (Bestands-)Gebäuden aufgebaut hat, nun auch auf die Randbedingungen von Gartenbaubetrieben angewandt werden. Die Arbeiten werden hinsichtlich der Anforderungen und Randbedingungen begleitet von der Landwirtschaftskammer Nordrhein-Westfahlen und vier dort ansässigen Betrieben.Data is standard csv. Semicolon is used as separator and point as decimal
Soil organic carbon of land use impacts in life cycle assessment
No full textPurpose:
Anthropogenic activities are a major driver of soil and land degradation. Due to the spatial heterogeneity of soil properties and the global nature of most value chains, the modelling of the impacts of land use on soil quality for application in Life Cycle Assessment (LCA) requires a regionalised assessment with global coverage. This paper proposes an approach to quantify the impacts of land use, based on changes in soil organic carbon (SOC) stocks, following the latest recommendation of the Life Cycle Initiative.
Methods:
An operational set of SOC-based characterisation factors for land occupation and land transformation were derived using spatial datasets (1 km resolution) and aggregated at national and global level, by adopting an aggregation approach excluding those areas where a certain land use activity was not indicated in land use maps, to avoid the introduction of bias. The developed characterisation factors were tested by means of a case study analysis, investigating the impact on soil quality caused by land use activities necessary to provide three alternative energy supply systems for passenger car transport (biomethane, ethanol, and solar electricity). Results obtained by applying characterisation factors at local, regional and national level were compared, to investigate the role of the level of regionalisation on the resulting impacts.
Results and discussion:
Global maps of characterisation factors are presented for the 56 land use types commonly used in LCA databases, together with national and global values. Urban and industrial land uses present the highest impacts on SOC stocks, followed by severely degraded pastures and intensively managed arable lands. Instead, values obtained for extensive pastures, flooded crops, and urban green areas often report an increase in SOC stocks. Results show that the ranking of impacts of the three energy systems considered in the case study analysis is not affected by the level of regionalisation of the analysis. In the case of biomethane energy supply, impacts assessed using national characterisation factors are more than double those obtained with local characterisation factors, with less significant differences in the other two cases.
Conclusions:
The integration of soil quality aspects in life cycle impact assessment methods is a crucial challenge due to the key role of soil conservation in ensuring food security and environmental protection. This approach allows the quantification of land use impacts on SOC stocks, taken as a proxy of soil quality. Further research needs to improve the assessment of land use impacts in LCA are identified, such as the ability to reflect the effects of agricultural and forestry management practices
Wireline-Logging- und Videodaten einer 224 m tiefen Erkundungsbohrung in einem Karbonatkarst in Hagen, Nordrhein-Westfalen, Deutschland
No full textThe investigation of karst aquifers is inherently challenging due to their heterogeneous nature. A new borehole, measuring 224 metres in depth, was drilled into the 'Massenkalk' formation in the Steltenberg quarry at Hagen, North Rhine-Westphalia, Germany, with the objective of investigating its potential as a geothermal reservoir analogue (Coordinates of well R1: 401398 / 5690212 UTM 32N). Geophysical logging and camera runs revealed the presence of highly permeable karst structures, which visually displayed vuggy porosity. The permeability of the aquifer seems largely dominated by karst structures, specifically fractures that have been widened by dissolution. Instead of intense fracturing, the rock mass generally appears to be characterised by karstification and secondary porosity. The logging and mapping data were finalised in PDF, TXT and AVI formats as supplementary material of: DOI: 10.1127/zdgg/2025/0450Am Standort Hagen, NRW soll der Einsatz von tiefengeothermaler Wärme zur Prozessdampferzeugung erkundet werden. Da die in Deutschland vorgefundenen Temperaturen nicht zur direkten Erzeugung von Industrie-Prozessdampf ausreichen, sollen in diesem Projekt - neben der geologischen Erkundung und Nutzungsplanung - Verfahren zur effizienten und ressourcenschonenden Aufwertung geothermaler Wärme unterschiedlicher Temperatur entwickelt werden.Please refer to the attached README in the data download
Simulation Decision Matrix_Analytical Hierarchy Process_data_expert survey
No full textRaw data and analysis results of the six experts of the analytical hierarchy process (AHP) expert survey. The expert survey was conducted for prioritising sub-criteria of the Simulation Decision Matrix (SDM). The SDM is primarily used for prioritising quality-critical product parameters of hydrogen technologies for simulation applications in their production process.Co-funding from the European Union and the “Ministry of Food, Rural Areas, and Consumer Protection Baden-Württemberg” (German: Ministerium für Ernährung, Ländlichen Raum und Verbraucherschutz Baden-Württemberg
Evaluation of a local heating network supplied by a pyrolysis plant
No full textDer Datensatz umfasst sämtliche zugrundeliegende Daten für die Berechnungen