[{"data":1,"prerenderedAt":103},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-ac0a87abaf6c662be83744c9-59fc3043":3},{"edges":4,"entity":16,"fingerprint":51,"generatedAt":52,"neighbors":53,"schemaVersion":102},[5],{"evidence":6,"evidenceClass":11,"from":12,"id":13,"relation":14,"to":15},{"dataset":7,"field":8,"sourceId":9,"url":10},"german-ai-research-to-transfer-index","cordis_project_code","101058129:output:ac0a87abaf6c662be83744c9","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101058129","exact","cordis:101058129","edge:project-output:101058129:ac0a87abaf6c662be83744c9","has_observed_output","output:ac0a87abaf6c662be83744c9",{"attributes":17,"edgeCount":32,"id":15,"indexable":19,"label":33,"links":34,"slug":46,"sourceRefs":47,"type":50},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":31},0,true,"doi_dedup___::881057b4e50f4ac5e4973e97c588987d","publication",[23,26,29],{"scheme":24,"value":25},"arXiv","2503.04393",{"scheme":27,"value":28},"doi","10.1007\u002Fs11600-025-01762-8",{"scheme":27,"value":30},"10.48550\u002Farxiv.2503.04393","2025-12-19",1,"Nonparametric kernel density estimation of magnitude distribution for the analysis of seismic hazard posed by anthropogenic seismicity",[35,39,43],{"kind":36,"label":37,"url":38},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3A881057b4e50f4ac5e4973e97c588987d",{"kind":40,"label":41,"url":42},"persistent_identifier","DOI 10.1007\u002Fs11600-025-01762-8","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11600-025-01762-8",{"kind":40,"label":44,"url":45},"DOI 10.48550\u002Farxiv.2503.04393","https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2503.04393","output-ac0a87abaf6c662be83744c9-59fc3043",[48],{"dataset":7,"field":49,"sourceId":20,"url":38},"openaire_research_product_id","output","sha256:0772074b332635d12edfdbc378f2247c038e9b0fcf966d36f1558d81d73a1d71","2026-08-01T09:21:19.131Z",[54],{"attributes":55,"description":86,"edgeCount":87,"id":12,"indexable":19,"label":88,"links":89,"slug":96,"sourceRefs":97,"type":101},{"acronym":56,"code":57,"endDate":58,"frameworkProgramme":59,"funding":60,"knowledgeFlow":65,"research":73,"startDate":85},"DT-GEO","101058129","2025-08-31","HORIZON",{"currency":61,"germanNetEuContributionCents":62,"participantEdgeCount":63,"status":64},"EUR","218928750",3,"linked",{"citingCountryCount":66,"citingInstitutionCount":67,"distinctCitingWorkCount":68,"firstObservedCitationDate":69,"lastObservedCitationDate":70,"observedCitationEdgeCount":71,"status":72},89,1300,1002,"2022-04-26","2026-07-29",1284,"full_input_observation",{"citationDataOutputCount":74,"citedOutputCount":75,"firstPublicationDate":76,"lastPublicationDate":77,"openAccessOutputCount":78,"outputCount":74,"status":64,"totalCitations":79,"typeCounts":80},177,59,"2017-01-01","2026-01-12",170,916,{"dataset":81,"other":82,"publication":83,"software":84},20,24,131,2,"2022-09-01","A Digital Twin for GEOphysical extremes",35,"DT-GEO · A Digital Twin for GEOphysical extremes",[90,92],{"kind":36,"label":91,"url":10},"CORDIS",{"kind":93,"label":94,"url":95},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101058129","project-cordis-101058129-b54a5eed",[98],{"dataset":99,"field":100,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1785576534242]