# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description[].value
A Data Trust Office based at TU Dresden for the Saxon scientific landscape.
Website: https://dd-trust.zih.tu-dresden.de

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
A Data Trust Office based at TU Dresden for the Saxon scientific landscape

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description[].value
Data publications from research of Dresden University of Applied Sciences.

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
Data publications from research of Dresden University of Applied Sciences

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
Publish source code or a piece of software

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
Publish source code or a piece of software

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
Publish source code or a piece of software

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
Publish source code or a piece of software

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
Publish source code or a piece of software

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.name
Hochschule für Technik und Wirtschaft Dresden

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description[].value
Research data repository of Dresden University of Applied Sciences.

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
Research data repository of Dresden University of Applied Sciences

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.title[].value
Hochschule für Technik und Wirtschaft Dresden

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description[].value
Research data repository of Freiberg University of Mining and Technology.

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
Research data repository of Freiberg University of Mining and Technology

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description[].value
Research data repository of Dresden University of Technology.

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
Research data repository of Dresden University of Technology

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description[].value
Research data repository of Leipzig University.

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
Research data repository of Leipzig University

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.name
Data set to the publication Vertical partitioning of CO2 production in a forest soil (SUBSOM)

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.datacite.relatedItem.IsSupplementTo[].value
Wordell-Dietrich, P., Don, A., Wotte, A., Rethemeyer, J., Bachmann, J., Helfrich, M., Kirfel, K., & Leuschner, C. (2019). Vertical partitioning of CO2 production in a Dystric Cambisol. Biogeosciences Discussions, April, 1–27. https://doi.org/10.5194/bg-2019-143

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.datacite.resourceType[].value
The dataset contains:
1) measurements of volumetric water content, soil temperature, carbon dioxide in three soil profiles in a beech forest in Germany
2) isotopic data of carbon dioxide in the soil atmosphere
3) diffusion parameters

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
The archive contains 2 years monitoring data of volumetric water content, soil temperature and carbon dioxide concentrations of three soil profiles.
It contains data on volumetric water content, soil temperature and carbon dioxide concentration from three subsoil observatories. It also contains data on soil respiration measurements, isotopic data of the soil atmosphere and diffusion parameters for CO2 flux modelling. The file column description contains information on the headings and units for each data file

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.title[].value
Data set to the publication Vertical partitioning of CO2 production in a forest soil (SUBSOM)

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.opara.descriptionInstrument[].value
temperature and moisture sensor - UMP-1, Umwelt-Geräte-Technik GmbH, Germany

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.opara.descriptionInstrument[].value
PTFE suction cups - ecoTech Umwelt-Meßsysteme GmbH, Germany

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.opara.descriptionInstrument[].value
solid-state infrared gas sensors -GMP221, Vaisala Oyi, Finland

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.opara.descriptionInstrument[].value
gas chromatograph - Agilent  7890A, Agilent Technologies, USA

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.opara.descriptionInstrument[].value
isotope ratio mass spectrometer - Delta Plus with GP interfaces and GC-Box, Thermo Fisher Scientific, Germany

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.opara.descriptionInstrument[].value
respiration chamber - EGM-3 SRC-1. PP-Systems, USA

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.opara.descriptionInstrument[].value
respiration chamber - LI-6400-09, LI-COR Inc., USA

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.name
Raw data of the cylinder tests for determining compressive strength and modulus of elasticity

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.datacite.resourceType[].value
This collection contains the raw data of the tests on cylindrical specimens for determining the compressive strength and the modulus of elasticity of each concrete batch.

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
This dataset contains the raw data of the tests on concrete cylinders to determine the compressive strength and the modulus of elasticity of the different batches. Two concrete mixes were investigated (C30 and C80). The batch is referenced by a roman number (I to VI). Three cylinder specimens were tested from each batch. The first was loaded with continously increasing force until failure. The ultimate load was used to determine the load levels of the tests for the modulus of elasticity according to DIN EN 12390-13, method B, for the tests on the other two specimens. After carrying out these two tests, both specimens were also loaded with increasing force until failure. Following channels are used in each file:
Zeit (Standardmessrate) [time (standard measuring rate)] in s, Zeit (langsame Messrate) [time (slow measuring rate)] in s, Kraft [force] in kN, Maschinenweg [machine displacement] in mm, Laser bei Umfang [displacement measured by laser sensor at circumference] 0° in mm, Laser bei Umfang [displacement measured by laser sensor at circumference] 120° in mm, Laser bei Umfang [displacement measured by laser sensor at circumference] 240° in mm, Lufttemperatur [relative humidity, related to the slow measuring rate] in °C, DD1_1 und DD1_2 (LVDT, placed at middle specimen height at 0° and 180°, measuring length 150 mm) in mm

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.title[].value
Raw data of the cylinder tests for determining compressive strength and modulus of elasticity

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.opara.project.description[].value
Beton weist unter zyklischen Lasten ein komplexes Verformungsverhalten auf. Dieses beeinflusst die Spannungsverteilung auf der Querschnittsebene von Betonbauteilen und wirkt sich positiv auf deren Lebensdauer aus. Das normative Ermüdungsnachweiskonzept prognostiziert die Lebensdauer von Betonbauteilen auf der Grundlage von Wöhlerlinien. Die Verformungsentwicklung des Betons und die Spannungsumlagerungen auf der Querschnittsebene finden nahezu keine Berücksichtigung, wodurch ermüdungsbeanspruchte Betonbauwerke gemäß dem derzeitigen Nachweiskonzept nicht wirtschaftlich bemessen werden.Das Ziel des Forschungsvorhabens ist das Verformungsverhalten und im speziellen die Spannungsumlagerungen von ermüdungsbeanspruchten Betonbauteilen zu untersuchen. In diesem Rahmen werden sowohl FE-Simulationen als auch experimentelle Versuche durchgeführt. Für die Simulationen wird ein am Institut für Massivbau der Leibniz Universität Hannover entwickeltes Dehnungsmodell für ermüdungsbeanspruchten Beton zugrunde gelegt. Die experimentellen Untersuchungen werden auf dem Resonanzversuchstand des Instituts durchgeführt. Dieser weltweit einmalige Versuchsstand ermöglicht die Untersuchung von Betonbalken im Very High Cycle Fatigue-Bereich, also bis in einen Lastwechselbereich von mehr als 1•10^7 Lastwechseln. Dies ist für die Versuchsdurchführung von wesentlicher Bedeutung, da die Spannungsumlagerungen sehr hohe, ertragbare Lastwechselzahlen bei den Betonbalken bedingen.Die numerischen Simulationen werden anhand der experimentellen Untersuchungen verifiziert. Auf dieser Grundlage können allgemeingültige Aussagen zu dem Verformungsverhalten und den Spannungsumlagerungen von ermüdungsbeanspruchten Betonbauteilen getroffen werden sowie neue Bemessungsvorschläge formuliert werden. Die Erkenntnisse des Vorhabens dienen der Bemessung dynamisch beanspruchter Bauwerke wie Windenergieanlagen oder Eisenbahnbrücken des Hochgeschwindigkeitsverkehrs. Sie ermöglichen den Schritt in Richtung einer realitätsnäheren Bemessung und damit schlankeren, wirtschaftlicheren und kostengünstigeren Ausführung von ermüdungsbeanspruchten Betonbauwerken.

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.name
Strain curves measured with different DFOS types and varying spatial resolution by an ODiSI 6108

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.datacite.resourceType[].value
A tsv file with associated metadata is stored for each of the individual combinations of displacement step (1-14 mm), gage pitch (0.65 mm, 1.30 mm, 2.60 mm, 5.20 mm) and DFOS type (ACR, ES, ORM, V9). This makes a total of 14 x 4 x 4 = 224 files. The files were processed using Python.

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
Based on the principle of coherent optical frequency domain reflectometery (c-OFDR), cracks in concrete structures can be precisely localized and their widths determined due to the high spatial resolution in the sub-millimeter range. However, with longer distributed fiber optic sensors (DFOS) lengths, as is common in structural health monitoring, the spatial resolution is reduced. Experimental studies were carried out to investigate the influence of the spatial resolution on the measurement quality in the area of large strain gradients. Four different DFOS, two robust and two filigree DFOS types, were subsequently installed on a 4 m long reinforced concrete beam. In a displacement controlled 4-point bending test, crack widths of up to 0.5 mm were measured with four different gage pitch (gp).

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.title[].value
Strain curves measured with different DFOS types and varying spatial resolution by an ODiSI 6108

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.opara.project.description[].value
The goal of the IDA-KI research project is to develop methods for automated analysis and evaluation of monitoring data. The validation is carried out using real measurement data acquired on a 45 m long research bridge (openLAB). First, the reference condition of the bridge is measured with and without service loads over a period of one year. Subsequently, targeted load tests will be performed up to the severe damage state. At the same time, redundant sensors will be damaged or manipulated to create a real database with specific signal characteristics for metrological and structural anomalies. This will provide an important basis for the development of evaluation methods (also based on machine learning), so that measurement faults in monitoring data can be corrected in the future and differentiated from structural damage.

Further information can be found in: https://onlinelibrary.wiley.com/doi/10.1002/best.202300094

Project title: IDA-KI (Automated assessment of monitoring data for infrastructure constructions using AI and IoT)
Funding: Federal Ministry for Digital and Transport, Germany, within the innovation program mFUND
Funding reference: 19FS2013A

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.name
Ultrafast switching of trions in 2D materials by terahertz photons

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
External control of optical excitations is key for manipulating light–matter coupling and is highly desirable for photonic technologies. Excitons in monolayer semiconductors emerged as a unique nanoscale platform in this context, offering strong light–matter coupling, spin–valley locking and exceptional tunability. Crucially, they allow electrical switching of their optical response due to efficient interactions of excitonic emitters with free charge carriers, forming new quasiparticles known as trions and Fermi polarons. However, there are major limitations to how fast the light emission of these states can be tuned, restricting the majority of applications to an essentially static regime. Here we demonstrate switching of excitonic light emitters in monolayer semiconductors on ultrafast picosecond time scales by applying short pulses in the terahertz spectral range following optical injection. The process is based on a rapid conversion of trions to excitons by absorption of terahertz photons inducing photodetachment. Monitoring time-resolved emission dynamics in optical-pump/terahertz-push experiments, we achieve the required resonance conditions as well as demonstrate tunability of the process with delay time and terahertz pulse power. Our results introduce a versatile experimental tool for fundamental research of light-emitting excitations of composite Bose–Fermi mixtures and open up pathways towards technological developments of new types of nanophotonic device based on atomically thin materials.

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.title[].value
Ultrafast switching of trions in 2D materials by terahertz photons

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.name
Supplementary data for: Weighted Shapley values and allocation of portfolio risk: One approach to solve the low-risk puzzle?

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.datacite.relatedItem.IsSupplementTo[].value
Weighted Shapley values and allocation of portfolio risk: One approach to solve the low-risk puzzle?

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.datacite.resourceType[].value
Simulation study, We analyze three-asset scenario with low-risk puzzle on the set of assets. We simulate 100,000 times. For different level structures, we calculate the weighted Shapley value (Kalai / Samet), the Haeringer weighted value and the proportional Shapley value. We identify cases with rank order corrections with respect to asset variance. 
See also "Simulation Settings"

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
The data set contains data for the article “Weighted Shapley values and allocation of portfolio risk: One approach to solve the low-risk puzzle?”. This includes a description of the simulation settings, the Excel macros for calculating the results in the case of equal shares and random asset shares, and the 100,000 simulation results for both cases in Excel.

Abstract of the paper: In this article, we extend the application of cooperative game theory to solve the so-called low-risk puzzle. Specifically, we apply concepts that consider asset weights in the allocation of portfolio risk. These weights can take into account various asset characteristics (e.g., image, popularity of an asset, corporate social responsibility, innovative strength) that have not been previously considered in portfolio risk allocation using cooperative game theory. We demonstrate the application through a simulation study. Our results show that considering assets weights could deliver added value when solving the low-risk puzzle.

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.title[].value
Supplementary data for: Weighted Shapley values and allocation of portfolio risk: One approach to solve the low-risk puzzle?

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.opara.project.description[].value
The dataset belongs to the article “Weighted Shapley values and allocation of portfolio risk: One approach to solve the low-risk puzzle?”. It is part of a research project investigating whether cooperative game theory can solve the so-called low-risk puzzle. In the data set, asset weights are included as a structural feature in the calculation of asset payoffs.

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.opara.project.title[].value
Weighted Shapley values and allocation of portfolio risk: One approach to solve the low-risk puzzle?

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.name
Zugversuche zur Validierung des Funktionsmoduls Fadenführung und -tränkung

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.datacite.description.TechnicalInfo[].value
Resource Type: Prüfprotokoll mit Prüfbedingungen/-einstellungen

Methods: Zugversuche nach DIN EN ISO 10618

Data Acquisition: Zugversuch mittels uniaxialer Prüfmaschine"

Data Processing: Erstellung einer Statistik auf Basis der Rohdaten

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
Die Zugversuche wurden im Rahmen der Inbetriebnahme des Funktionsmoduls Fadenführung und -tränkung als Validierung (Technologienachweis) der entwickelten Technologie durchgeführt.

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.title[].value
Zugversuche zur Validierung des Funktionsmoduls Fadenführung und -tränkung

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.opara.descriptionObject.PhysicalObject[].value
getränkter und konsolidierter Carbonfaserroving
(450 mm)

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.opara.project.description[].value
Datensammlung des Teilprojektes TP-B01 im SFB TRR 280 (SFBTRR280-TP-B01)

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.name
SSB and RecA dynamics studied with multiwell plate smFRET

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.datacite.description.TechnicalInfo[].value
Resource Type: ht3 data of a multiparameter fluorescence smFRET experiment
Data Processing: data can be analysed with the autoFRET package available here https://github.com/SchlierfLAB/autoFRET

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.datacite.resourceType[].value
smFRET data for multiwell plate measurements (smFRET_multi)
raw (ht3) and pre-analysed (bin) data of smFRET measurements for high-content, multiwell plate smFRET experiments.

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
SSB and RecA binding cooperativity and competition to single-stranded DNA measured with multiwell plate, multiparameter smFRET

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.title[].value
SSB and RecA dynamics studied with multiwell plate smFRET

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.opara.descriptionInstrument[].value
custom built multiwell plate smFRET multiparameter fluorescence instrument

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.opara.descriptionObject.Substance[].value
SSB protein of E. coli
RecA protein of E. coil
partial duplex DNA with donor and acceptor fluorophores

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.name
Evaluation of Trap Type and Attractant Composition for Potential Mass Trapping of Hylobius abietis

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.datacite.resourceType[].value
data of field experiments containing trapping numbers of Hylobius abietis and Carabidae as well as time study data

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
Data repository for the manuscript "Evaluation of Trap Type and Attractant Composition for Potential Mass Trapping of Hylobius abietis" by Heber et al. (2023)

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.title[].value
Evaluation of Trap Type and Attractant Composition for Potential Mass Trapping of Hylobius abietis

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.opara.project.description[].value
The ReBek project is comprised of two sub projects (SP). SP 1 aims at developing alternative eradication methods in the form of novel weevil and bark beetle traps that use little to no pesticides as well as mass trapping lures, which are able to locally and temporarily reduce the population densities of the target insects in a way that secures the economic and ecological objectives of the forest owners. The focus of SP 2 is the development of close-to-nature, pesticide-free regulation methods for bark beetles. Non-habitat volatiles will be identified by volatile suctions and testing the recorded substances in the field using traps and trap logs. These volatiles will allow for the chemical masking of objects that are at risk of bark beetle colonization and will pretend an unsuitable habitat for the target species.

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.name
Farnesischer Stier – Hundepfote, Universität Leipzig, Antikenmuseum, G 661 – TF 13.3, high-poly

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.description.abstract[].value
Dieser Datensatz enthält das High-Poly-Modell einer weiteren Hundepfote aus der Gipsabformung des Farnesischen Stiers (G 661, TF 13.3). Das 3D-Modell basiert auf den hochaufgelösten Rohdaten und wurde durch Polygonreduktion optimiert. Dabei blieb die geometrische und visuelle Qualität erhalten, während die Dateigröße deutlich reduziert wurde.

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.dc.title[].value
Farnesischer Stier – Hundepfote, Universität Leipzig, Antikenmuseum, G 661 – TF 13.3, high-poly

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.opara.project.fundingAcknowledgement[].value
Gefördert durch die SAB. Diese Maßnahme wird mitfinanziert durch Steuermittel auf der Grundlage des vom Sächsischen Landtag beschlossenen Haushaltes.

# _embedded.searchResult._embedded.objects[]._embedded.indexableObject.metadata.opara.project.title[].value
Vom raumgreifenden Gipsabguss zur digitalen Punktwolke: Dokumentation und Visualisierung antiker Plastik am Beispiel des Toro Farnese in der Abguss-Sammlung des Antikenmuseums Leipzig