[{"data":1,"prerenderedAt":100},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-c8ecf240abaa3943532006d5-ab292316":3},{"edges":4,"entity":16,"fingerprint":48,"generatedAt":49,"neighbors":50,"schemaVersion":99},[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:c8ecf240abaa3943532006d5","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101058129","exact","cordis:101058129","edge:project-output:101058129:c8ecf240abaa3943532006d5","has_observed_output","output:c8ecf240abaa3943532006d5",{"attributes":17,"edgeCount":29,"id":15,"indexable":19,"label":30,"links":31,"slug":43,"sourceRefs":44,"type":47},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":28},0,true,"doi_dedup___::8b4200129d17d4007b462f9a79bd14ff","software",[23,26],{"scheme":24,"value":25},"doi","10.5281\u002Fzenodo.15118498",{"scheme":24,"value":27},"10.5281\u002Fzenodo.15118499","2025-04-01",1,"neurodirmom: Software to fit a moment-modifier directivity model using the U-Net Neural Network",[32,36,40],{"kind":33,"label":34,"url":35},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3A8b4200129d17d4007b462f9a79bd14ff",{"kind":37,"label":38,"url":39},"persistent_identifier","DOI 10.5281\u002Fzenodo.15118498","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.15118498",{"kind":37,"label":41,"url":42},"DOI 10.5281\u002Fzenodo.15118499","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.15118499","output-c8ecf240abaa3943532006d5-ab292316",[45],{"dataset":7,"field":46,"sourceId":20,"url":35},"openaire_research_product_id","output","sha256:3ad8b41a2f87416adb29729731aeb60b43939846de6685ec695ceb30bef2a3db","2026-08-01T09:21:19.131Z",[51],{"attributes":52,"description":83,"edgeCount":84,"id":12,"indexable":19,"label":85,"links":86,"slug":93,"sourceRefs":94,"type":98},{"acronym":53,"code":54,"endDate":55,"frameworkProgramme":56,"funding":57,"knowledgeFlow":62,"research":70,"startDate":82},"DT-GEO","101058129","2025-08-31","HORIZON",{"currency":58,"germanNetEuContributionCents":59,"participantEdgeCount":60,"status":61},"EUR","218928750",3,"linked",{"citingCountryCount":63,"citingInstitutionCount":64,"distinctCitingWorkCount":65,"firstObservedCitationDate":66,"lastObservedCitationDate":67,"observedCitationEdgeCount":68,"status":69},89,1300,1002,"2022-04-26","2026-07-29",1284,"full_input_observation",{"citationDataOutputCount":71,"citedOutputCount":72,"firstPublicationDate":73,"lastPublicationDate":74,"openAccessOutputCount":75,"outputCount":71,"status":61,"totalCitations":76,"typeCounts":77},177,59,"2017-01-01","2026-01-12",170,916,{"dataset":78,"other":79,"publication":80,"software":81},20,24,131,2,"2022-09-01","A Digital Twin for GEOphysical extremes",35,"DT-GEO · A Digital Twin for GEOphysical extremes",[87,89],{"kind":33,"label":88,"url":10},"CORDIS",{"kind":90,"label":91,"url":92},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101058129","project-cordis-101058129-b54a5eed",[95],{"dataset":96,"field":97,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1785576534173]