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For further information please refer to our works referenced in the metadata."}]},"fundingReferences":null,"geoLocations":null,"identifier":{"identifierType":"DOI","value":"10.58160/128"},"keywords":{"keyword":[{"classificationCode":null,"keywordScheme":"OTHER","ontologyId":null,"ontologyURI":null,"schemeURI":null,"value":"social robots","valueURI":null},{"classificationCode":null,"keywordScheme":"OTHER","ontologyId":null,"ontologyURI":null,"schemeURI":null,"value":"emotions","valueURI":null},{"classificationCode":null,"keywordScheme":"OTHER","ontologyId":null,"ontologyURI":null,"schemeURI":null,"value":"body language","valueURI":null}]},"language":null,"processing":null,"productionYear":"2021","publicationYear":"2024","publishers":{"publisher":[{"nameIdentifier":"https://ror.org/00fbnyb24","nameIdentifierScheme":"ROR","schemeURI":"https://ror.org/","value":"University of Würzburg"}]},"relatedIdentifiers":{"relatedIdentifier":[{"relatedIdentifierType":"DOI","relationType":"IS_REFERENCED_BY","value":"10.1145/3610977.3634956"},{"relatedIdentifierType":"DOI","relationType":"IS_DESCRIBED_BY","value":"10.1007/s12193-024-00429-w"}]},"relatedInformations":null,"resource":{"resourceType":"IMAGE","value":""},"rights":{"additionalRights":null,"controlledRights":"CC_BY_4_0_ATTRIBUTION"},"rightsHolders":{"rightsHolder":[{"nameIdentifier":"0000-0001-5345-6501","nameIdentifierScheme":"ORCID","schemeURI":"https://orcid.org/","value":"Steinhaeusser, Sophia C."},{"nameIdentifier":"0000-0002-2362-0080","nameIdentifierScheme":"ORCID","schemeURI":"https://orcid.org/","value":"Lugrin, Birgit"}]},"software":null,"subjectAreas":{"subjectArea":[{"additionalSubjectAreaName":null,"controlledSubjectAreaName":"COMPUTER_SCIENCE"},{"additionalSubjectAreaName":null,"controlledSubjectAreaName":"PSYCHOLOGY"}]},"title":"Initial Sample of Emotional Bodily Expressions for the NAO Robot"},"descriptiveMetadataCorrection":null,"id":"zaFLDIpqPWJsiBQA","ingestUrl":"https://wuedata.uni-wuerzburg.de/radar-ingest/upload/zaFLDIpqPWJsiBQA/ingest","lastModifiedDate":"2025-10-28T11:45:07.345027763Z","oaiUrl":null,"parentId":"hCQoKFrfZNAgnBvg","state":"PUBLISHED","technicalMetadata":{"access":"PUBLIC","archiveCreator":"dd7b509482ad0a11773b217cbbcdf32f","archiveDate":"2024-06-20T08:07:30.697Z","blockMessage":null,"blocked":false,"embargoEndingDate":null,"numberOfPendingNotificationMailsSent":0,"oaiUrl":null,"responsibleEmail":"sophia.steinhaeusser@uni-wuerzburg.de","retentionPeriod":0,"reviewToken":null,"schema":{"key":"RDDM","version":"9.2"},"size":12536766,"uploadFolder":null,"uploadToken":null},"uploadUrl":"https://wuedata.uni-wuerzburg.de/radar-ingest/upload/zaFLDIpqPWJsiBQA/file"},{"archive":{"checksum":"4e1b1d86177585ae71da657534cccbb9","checksumType":"MD5","creator":"dd7b509482ad0a11773b217cbbcdf32f","downloadUrl":"https://wuedata.uni-wuerzburg.de/radar/api/datasets/wyxpbuhc1sc8g0ch/download","size":24914432,"utcCreated":"2025-05-19T07:00:25.768502465Z"},"createdDate":"2025-02-11T09:08:55.666380472Z","descriptiveMetadata":{"additionalTitles":{"additionalTitle":[{"additionalTitleType":"TRANSLATED_TITLE","value":"Soil hydrological monitoring data of characteristic soils in Lower Franconia 2018 to 2024"}]},"alternateIdentifiers":null,"contributors":{"contributor":[{"contributorAffiliation":{"affiliationIdentifier":null,"affiliationIdentifierScheme":null,"schemeURI":null,"value":"University of Wuerzburg"},"contributorName":"Terhorst, Birgit","contributorType":"PROJECT_LEADER","familyName":"Terhorst","givenName":"Birgit","nameIdentifier":[{"nameIdentifierScheme":"ORCID","schemeURI":"http://orcid.org/","value":"0009-0001-8822-2171"}]}]},"creators":{"creator":[{"creatorAffiliation":{"affiliationIdentifier":null,"affiliationIdentifierScheme":null,"schemeURI":null,"value":"University of Wuerzburg"},"creatorName":"Krause, Julian","familyName":"Krause","givenName":"Julian","nameIdentifier":[{"nameIdentifierScheme":"ORCID","schemeURI":"http://orcid.org/","value":"0000-0003-1246-8973"}]}]},"dataSources":{"dataSource":[{"dataSourceDetail":"OBSERVATION","value":"Monitoringstation"}]},"descriptions":{"description":[{"descriptionType":"ABSTRACT","value":"Das Dataset enthält Bodenfeuchtedaten und Bodentemperaturen von sechs Standorten Unterfrankens für den Zeitraum von 2018 bis 2024, die für ihre jeweiligen Naturräume und hinsichtlich ihrer anthropogenen Nutzung charakteristisch sind. An vier Standorten wurden zusätzlich auch meteorologische Parameter erfasst. Die Daten liegen in Zeitschritten von 15 Minuten vor. Die Bodenfeuchte wurde als volumetrischer Wassergehalt (volumetric water content, VWC %) in zwei bis drei Bodenprofilen pro Standort in unterschiedlichen Tiefen gemessen. Als Bodenfeuchte- und Bodentemperatursensoren wurden Meter 10HS und Meter 5TM Sensoren eingesetzt. Die meteorologischen Parameter wurden mit Pessl iMetos 2 und iMetos 3.3 Stationen erfasst.\nDie Messstationen befinden sich in einem Rigosol auf Buntsandstein in einem Weinberg bei Bürgstadt (Odenwald) sowie auf einer Parabraunerde im Lössgebiet bei Herchsheim (Ochsenfurter Gau) unter Ackernutzung. Am Übergang von Muschelkalk in Keuper befinden sich die Stationen in Obbach (Wern-Lauer-Platte), wo eine Braunerde unter Ackernutzung vorliegt und im Forst des Universitätswalds Sailershausen (Hesselbacher Waldland) werden die Untersuchungen in einer Braunerde-Terra fusca durchgeführt. Im Forst befinden sich auch die Stationen in Oberrimbach (Steigerwald) mit Braunerden aus Sandsteinkeuper und in Willmars (Rhön) mit Braunerden aus Buntsandstein. In den Messzeitraum fiel die dreijährige Dürre von 2018 bis 2020, das Jahr 2021 mit einem durchschnittlichen Witterungsverlauf und das Dürrejahr 2022. \nDas Langzeitmonitoring wurde im Rahmen der zur Dissertation „Auswirkungen des Klimawandels auf charakteristische Böden in Unterfranken unter Berücksichtigung bodenhydrologischer Monitoringdaten (2018 bis 2022)“ von Julian Krause durchgeführt. Begleitend wurden umfangreichen Gelände- und Laboranalysen der grundlegenden bodenkundlichen Parameter der Bodenprofile und der Standorte durchgeführt. \nDas Dataset wurde im Rahmen des EU-EFRE-Projekts „BigData@Geo“ und des BMBF-Projekts „REKLINEU“ generiert."},{"descriptionType":"ABSTRACT","value":"The dataset contains data on soil moisture and soil temperature of six locations in Lower Franconia that are characteristic of their respective natural areas and their anthropogenic use for the time period of 2018 to 2024. In addition meteorological parameters were recorded at four locations. The data is available in time steps of 15 minutes. Soil moisture was measured as volumetric water content (VWC %) in two to three soil profiles per site at different depths. Meter 10 HS and meter 5TM sensors were used as soil moisture and soil temperature sensors. The meteorological parameters were recorded using Pessl iMetos 2 and iMetos 3.3 stations.\nThe measuring stations are located in Regic Anthrosols on red sandstone in a vineyard near Bürgstadt (Odenwald) and on Luvisols in the loess area near Herchsheim (Ochsenfurter Gau) under arable land use. At the transition from Muschelkalk to Keuper, the stations are located in Obbach (Wern-Lauer-Platte), where Cambisols under arable use are present, and in the forest of the Sailershausen university forest (Hesselbacher Waldland), the investigations are carried out in Calcic Luvisols. In the forest there are also the stations in Oberrimbach (Steigerwald) with Cambisols from sandstone-Keuper and in Willmars (Rhön) with Cambisols from red sandstone. 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We compute the current profiles directly from Quantum Monte Carlo (QMC) simulations of the microscopic tight-binding model with long-range Coulomb interactions. This allows us to get results in a clean environment with all scattering channels being controlled by the parameters of the microscopic Hamiltonian and exact results delivered by QMC without further approximations. As a consequence, we can trace the emergence of continuous hy- drodynamics in the initially discrete lattice system. Special attention is paid to the emergence of macroscopic boundary conditions from microscopic details of the sample’s edges. Another important peculiarity is the decoupling of the charge current from the momentum flow in the Lorentz symmet- ric system, since the electrons and holes propagate in opposite directions with equal distribution functions. Using Boltzmann transport theory, we derive Navier-Stokes-type equations directly for the charge current, thus eliminating the need for any mechanism coupling the velocity field and charge current to explain the experimentally observed hydrodynamic flow profiles in graphene at half-filling. In this framework, the current diffusion coefficient replaces viscosity. QMC current profiles and the extracted temperature dependence for the current diffusion coefficient are in good agreement with the aforementioned theory, thus supporting our kinetic description of hydrodynamic currents in charge neutral graphene."},{"descriptionType":"OTHER","value":"MU (AR) thanks the DFG for financial support un- der the projects UL444/2-1, Project number 495044360 (AS120/19-1, Project number 530989922). FFA ac- knowledges financial support from the DFG through the W¨urzburg-Dresden Cluster of Excellence on Complex- ity and Topology in Quantum Matter - ct.qmat (EXC 2147, Project No. 390858490) as well as the SFB 1170 on Topological and Correlated Electronics at Surfaces and Interfaces (Project No. 258499086). KP acknowledges funding by the Deutsche Forschungsgemeinschaft (DFG) via the Emmy Noether Programme (Quantum Design grant, ME4844/1, project- id 327807255), project A04 of the Collaborative Research Center SFB 1143 (project- id 247310070), and the Cluster of Excellence on Com- plexity and Topology in Quantum Matter ct.qmat (EXC 2147, project-id 390858490). We gratefully acknowledge the Gauss Centre for Supercomputing e.V. (www.gauss- centre.eu) for funding this project by providing com- puting time for the computation of the current-current correlator on the GCS Supercomputer SUPERMUC- NG at the Leibniz Supercomputing Centre (www.lrz.de, project number pn73xu), as well as the scientific support and HPC resources provided by the Erlangen National High Performance Computing Center (NHR@FAU) of the Friedrich-Alexander-Universit¨at Erlangen-N¨urnberg (FAU) under the NHR project b133ae to carry out the SAC analysis. NHR funding is provided by federal and Bavarian state authorities. NHR@FAU hardware is par- tially funded by the German Research Foundation (DFG) – 440719683. JUWELS supercomputer was used for the calculation of E tensor. The numerical calcula- tions were carried out with the Algorithms for Lattice Fermions (ALF) library."}]},"fundingReferences":{"fundingReference":[{"awardNumber":"390858490","awardTitle":"EXC 2147:  Complexity and Topology in Quantum Matter (CT.QMAT)","awardURI":"https://gepris.dfg.de/gepris/projekt/390858490","funderIdentifier":{"schemeURI":"https://ror.org/","type":"ROR","value":"https://ror.org/00kkpv737"},"funderName":"Complexity and Topology in Quantum Matter"},{"awardNumber":"495044360","awardTitle":"Numerical challenges in Quantum Monte Carlo simulations in condensed matter physics","awardURI":"https://gepris.dfg.de/gepris/projekt/495044360","funderIdentifier":{"schemeURI":"https://ror.org/","type":"ROR","value":"https://ror.org/018mejw64"},"funderName":"Deutsche Forschungsgemeinschaft"},{"awardNumber":"530989922","awardTitle":"Numerical simulations of topological and exotic states of quantum matter","awardURI":"https://gepris.dfg.de/gepris/projekt/530989922","funderIdentifier":{"schemeURI":"https://ror.org/","type":"ROR","value":"https://ror.org/018mejw64"},"funderName":"Deutsche Forschungsgemeinschaft"},{"awardNumber":"247310070","awardTitle":"SFB 1143:  Correlated Magnetism: From Frustration to Topology","awardURI":"https://gepris.dfg.de/gepris/projekt/247310070","funderIdentifier":{"schemeURI":"https://ror.org/","type":"ROR","value":"https://ror.org/018mejw64"},"funderName":"Deutsche Forschungsgemeinschaft"},{"awardNumber":"327807255","awardTitle":"Quantum design: understanding, creating, and controlling novel states of matter","awardURI":"https://gepris.dfg.de/gepris/projekt/327807255","funderIdentifier":{"schemeURI":"https://ror.org/","type":"ROR","value":"https://ror.org/018mejw64"},"funderName":"Deutsche Forschungsgemeinschaft"}]},"geoLocations":null,"identifier":{"identifierType":"DOI","value":"10.58160/2epkdq7ctxtebcp2"},"keywords":{"keyword":[{"classificationCode":null,"keywordScheme":"OTHER","ontologyId":null,"ontologyURI":null,"schemeURI":null,"value":"Graphene","valueURI":null},{"classificationCode":null,"keywordScheme":"OTHER","ontologyId":null,"ontologyURI":null,"schemeURI":null,"value":"Electronic transport","valueURI":null},{"classificationCode":null,"keywordScheme":"OTHER","ontologyId":null,"ontologyURI":null,"schemeURI":null,"value":"Hydrodynamics","valueURI":null},{"classificationCode":null,"keywordScheme":"OTHER","ontologyId":null,"ontologyURI":null,"schemeURI":null,"value":"Quantum Monte Carlo","valueURI":null},{"classificationCode":null,"keywordScheme":"OTHER","ontologyId":null,"ontologyURI":null,"schemeURI":null,"value":"Boltzmann theory","valueURI":null}]},"language":"ENG","processing":null,"productionYear":"2024","publicationYear":"2024","publishers":{"publisher":[{"nameIdentifier":"https://ror.org/00fbnyb24","nameIdentifierScheme":"ROR","schemeURI":"https://ror.org/","value":"University of Würzburg"}]},"relatedIdentifiers":{"relatedIdentifier":[{"relatedIdentifierType":"DOI","relationType":"IS_SUPPLEMENT_TO","value":"10.48550/arXiv.2411.13273"}]},"relatedInformations":null,"resource":{"resourceType":"DATASET","value":""},"rights":{"additionalRights":null,"controlledRights":"CC_BY_4_0_ATTRIBUTION"},"rightsHolders":{"rightsHolder":[{"nameIdentifier":"0009-0000-0245-4186","nameIdentifierScheme":"ORCID","schemeURI":"https://orcid.org/","value":"Reingruber, Adrien"},{"nameIdentifier":"0000-0002-3302-9243","nameIdentifierScheme":"ORCID","schemeURI":"https://orcid.org/","value":"Assaad, Fakher"}]},"software":{"softwareType":[{"alternativeSoftwareName":[],"softwareName":[{"softwareVersion":"2.4","value":"Algorthims for Lattice Fermions (ALF) - 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This decoupling is known to have a saddle-point structure that shows a remarkable regularity: The field configuration at each saddle point can be understood in terms of a set of elementary field configurations localized in space and imaginary time which we coin instantons. The interaction between instantons is short ranged. Here, we formulate a classical partition function for the instanton gas that has predictive power. For a given set of physical parameters, we can predict the distribution of instantons and show that the instanton number is sharply defined in the thermodynamic limit, thereby defining a unique dominant saddle point. Decoupling in the charge channel conserves SU(2) spin symmetry for each field configurations. Hence, the instanton approach provides an SU(2) spin-symmetric approximation to the Hubbard model. It fails, however, to capture the magnetic transition inherent to the Hubbard model on the honeycomb lattice despite being able to describe local moment formation. In fact, the instanton itself corresponds to local moment formation and concomitant short-ranged antiferromagnetic correlations. This aspect is also seen in the single particle spectral function that shows clear signs of the upper and lower Hubbard bands. Our instanton approach bears remarkable similarities to local dynamical approaches, such as dynamical mean-field theory, in the sense that it has the unique property of allowing for local moment formation without breaking the SU(2) spin symmetry. In contrast to local approaches, it captures short-ranged magnetic fluctuations. Furthermore, it also offers possibilities for systematic improvements by taking into account fluctuations around the dominant saddle point. Finally, we show that the saddle point structure depends upon the choice of lattice geometry. For the square lattice at half filling, the saddle-point structure reflects the itinerant to localized nature of the magnetism as a function of the coupling strength. The implications of our results for Lefschetz thimble approaches to alleviate the sign problem are also discussed."},{"descriptionType":"TECHNICAL_INFO","value":"Please read the ReadMe.txt file in the provided .zip file for technical details about data processing and plotting."},{"descriptionType":"OTHER","value":"Funding was provided partially by Cluster of Excellence ct-qmat (Complexity and Topology in Quantum Matter)"}]},"fundingReferences":{"fundingReference":[{"awardNumber":"390858490","awardTitle":"EXC 2147: Complexity and Topology in Quantum Matter (CT.QMAT)","awardURI":"https://gepris.dfg.de/gepris/projekt/390858490","funderIdentifier":{"schemeURI":"https://ror.org/","type":"ROR","value":"https://ror.org/00kkpv737"},"funderName":"Complexity and Topology in Quantum Matter"},{"awardNumber":"495044360","awardTitle":"Numerical challenges in Quantum Monte Carlo simulations in condensed matter 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Almost all of the gold there occurs in the 2.90 – 2.79 Ga Central Rand Group, whereas the underlying 2.95 - 2.91 Ga West Rand Group, despite similar sedimentology, is essentially barren. This has been explained by differing degrees of chemical weathering, with intense weathering in Central Rand Group times having facilitated gold leaching from the Archaean hinterland. However, the drivers of this climatic change remain unsolved. To investigate this, we performed 140 simulations using the Planet Simulator, an Earth system model of intermediate complexity. We systematically assessed the effects of varying land distributions (diagonal, central, polar), land surface fractions (8–28 %), atmospheric CO₂-equivalent concentrations (3–30 %), and surface albedo (0.15–0.30). In addition to the expected strong dependence of global mean temperature on atmospheric greenhouse gas concentration, our results show reduced seasonality at higher atm. CO₂-equivalents. Increasing land area generally leads to cooling, except at low CO2-equivalent concentrations (3-5 %) and low albedo (<0.2). When land exceeds ~13 % of total Earth’s surface, it starts to have a pronounced effect on global climate. Among the spatial configurations, diagonal land distribution shows the highest climate sensitivity. The climatic shift around 2.9 Ga may be linked to emergence of extensive low-albedo (<0.2) surfaces (e.g., mafic/ultramafic rocks) and/or to the latitudinal drift of the Kaapvaal Craton into a more radiatively sensitive zone.\n\nThis dataset contains global 2-meter above the ground temperature (tas) at a horizontal resolution of T21 (64 x 32 grid points). The data are separated into two experimental configurations: (1) the effects of global land distribution and (2) the global effects of surface albedo. \n\n\n Experiment 1: Effects of Global Land Distribution \n\nThis experiment investigated the influence of Mesoarchaean land distribution and pattern on global climate, focusing on the global mean near-surface air temperature (tas). Three idealised continental configurations were implemented, representing diagonal, central and polar land distribution. For each configuration the total land fraction relative to the planetary surface area was systematically varied in four steps: 8%, 13%, 20% and 28%. \n\nExperiment 2: Global Effects of Albedo \n\nIn this experiment, only the diagonal land distribution with different fractions was used, while the surface albedo was systematically varied to assess its climatic impact. The prescribed albedo values were 0.15, 0.20, 0.25 and 0.30. \n\n\nAll simulations were performed using the Planet Simulator (PlaSim; Freadrich et al. 2005), an intermediate-complexity general circulation model. Postprocessing was conducted using PlaSim’s integrated postprocessor. The resulting data are provided in NetCDF format, representing 50-year simulations with the variable tas defined on the dimensions [long(64), lat(32), time (18263)]."}]},"fundingReferences":null,"geoLocations":null,"identifier":{"identifierType":"DOI","value":"10.58160/rp17havtz9yrq3sx"},"keywords":{"keyword":[{"classificationCode":null,"keywordScheme":"OTHER","ontologyId":null,"ontologyURI":null,"schemeURI":null,"value":"Archaean atmosphere","valueURI":null},{"classificationCode":null,"keywordScheme":"OTHER","ontologyId":null,"ontologyURI":null,"schemeURI":null,"value":"Witwatersrand gold","valueURI":null},{"classificationCode":null,"keywordScheme":"OTHER","ontologyId":null,"ontologyURI":null,"schemeURI":null,"value":"Kaapvaal Craton","valueURI":null},{"classificationCode":null,"keywordScheme":"OTHER","ontologyId":null,"ontologyURI":null,"schemeURI":null,"value":"PlaSim","valueURI":null},{"classificationCode":null,"keywordScheme":"OTHER","ontologyId":null,"ontologyURI":null,"schemeURI":null,"value":"Palaeoclimate simulations","valueURI":null}]},"language":"ENG","processing":{"dataProcessing":["R","CDO"]},"productionYear":"2024-2025","publicationYear":"2025","publishers":{"publisher":[{"nameIdentifier":"https://ror.org/00fbnyb24","nameIdentifierScheme":"ROR","schemeURI":"https://ror.org/","value":"University of Würzburg"}]},"relatedIdentifiers":{"relatedIdentifier":[{"relatedIdentifierType":"DOI","relationType":"HAS_PART","value":"10.58160/3qm1r56hthssrr5a"},{"relatedIdentifierType":"DOI","relationType":"HAS_PART","value":"10.58160/x3mnqawqtctxa0fp"}]},"relatedInformations":null,"resource":{"resourceType":"DATASET","value":""},"rights":{"additionalRights":null,"controlledRights":"CC_BY_NC_4_0_ATTRIBUTION_NON_COMMERCIAL"},"rightsHolders":{"rightsHolder":[{"nameIdentifier":"0009-0003-0314-0690","nameIdentifierScheme":"ORCID","schemeURI":"https://orcid.org/","value":"Wasitschek, Lisa"},{"nameIdentifier":"0009-0005-4333-7070","nameIdentifierScheme":"ORCID","schemeURI":"https://orcid.org/","value":"Hiby, Nina"},{"nameIdentifier":"0000-0003-3041-8208","nameIdentifierScheme":"ORCID","schemeURI":"https://orcid.org/","value":"Frimmel, Hartwig"}]},"software":{"softwareType":[{"alternativeSoftwareName":[],"softwareName":[{"softwareVersion":"0318","value":"Planet Simulator"}],"type":"RESOURCE_PRODUCTION"}]},"subjectAreas":{"subjectArea":[{"additionalSubjectAreaName":"Geologie","controlledSubjectAreaName":"OTHER"},{"additionalSubjectAreaName":"Palaeoclimatologie","controlledSubjectAreaName":"OTHER"}]},"title":"The influence of land distribution, areal extent and albedo on Mesoarchaean climate - 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Here we report on the observation of a spin spiral state at the Gd(0001) surface. Spinpolarized scanning tunneling microscopy images show striped regions with a periodicity of about 2 nm. These stripes rearrange upon application of an external magnetic field, thereby unambiguously confirming their magnetic origin. Density functional theory calculations explain that competing exchange interactions in the surface layer of Gd(0001) together with a magnetovolume fine-tuning of the exchange interaction to the next Gd layer favor a chiral 2 nm conical spin spiral at the surface, arising as a general behavior of the Gd monolayer."},{"descriptionType":"OTHER","value":"Please read the \"README.txt\" file for further information."},{"descriptionType":"OTHER","value":"We acknowledge financial support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), S. B. through SFB 1238 Project No. 277146847 (project C01), M. B. through Project No. 510676484 (GZ: BO 1468/29-1), and under Germany’s Excellence Strategy through the Würzburg– Dresden Cluster of Excellence on Complexity and Topology in Quantum Matter—ct.qmat (EXC 2147, Project No. 390858490). G. B. gratefully acknowledges computing time granted through JARA-HPC on the supercomputer JURECA at Forschungszentrum Jülich."}]},"fundingReferences":{"fundingReference":[{"awardNumber":"Project No. 277146847","awardTitle":"Strukturinversionsasymmetrische Materie und Spin-Orbit-Phänomene mittels ab initio (C01)","awardURI":"https://gepris.dfg.de/gepris/projekt/319898210","funderIdentifier":{"schemeURI":"https://ror.org/","type":"ROR","value":"https://ror.org/018mejw64"},"funderName":"Deutsche Forschungsgemeinschaft"},{"awardNumber":"Project No. 510676484 (GZ: BO 1468/29-1)","awardTitle":"Spinstruktur dünner Seltenerdmetall-Filme","awardURI":"https://gepris.dfg.de/gepris/projekt/510676484","funderIdentifier":{"schemeURI":"https://ror.org/","type":"ROR","value":"https://ror.org/018mejw64"},"funderName":"Deutsche Forschungsgemeinschaft"},{"awardNumber":"Project No. 390858490","awardTitle":"Germany’s Excellence Strategy through the Würzburg– Dresden Cluster of Excellence on Complexity and 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