[{"data":1,"prerenderedAt":97},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-0188a2aea60b10c908a414eb-1fa40662":3},{"edges":4,"entity":16,"fingerprint":47,"generatedAt":48,"neighbors":49,"schemaVersion":96},[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","101003876:output:0188a2aea60b10c908a414eb","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101003876","exact","cordis:101003876","edge:project-output:101003876:0188a2aea60b10c908a414eb","has_observed_output","output:0188a2aea60b10c908a414eb",{"attributes":17,"edgeCount":18,"id":15,"indexable":19,"label":32,"links":33,"slug":42,"sourceRefs":43,"type":46},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":31},1,true,"doi_dedup___::6651cf0e4ec40591f3cb00c23ff0ba11","publication",[23,26,29],{"scheme":24,"value":25},"doi","10.5194\u002Fnhess-26-955-2026",{"scheme":27,"value":28},"handle","11585\u002F1051036",{"scheme":27,"value":30},"1871.1\u002Fcdbac548-13ee-4509-a9af-9f179e0cc3bd","2026-02-27","Lessons learned in institutional preparedness and response during the 2022 European drought",[34,38],{"kind":35,"label":36,"url":37},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3A6651cf0e4ec40591f3cb00c23ff0ba11",{"kind":39,"label":40,"url":41},"persistent_identifier","DOI 10.5194\u002Fnhess-26-955-2026","https:\u002F\u002Fdoi.org\u002F10.5194\u002Fnhess-26-955-2026","output-0188a2aea60b10c908a414eb-1fa40662",[44],{"dataset":7,"field":45,"sourceId":20,"url":37},"openaire_research_product_id","output","sha256:621f076a776811b5e73b37c6ec09b09853bea4ef1afe783e0453d821de986247","2026-07-21T08:59:15.288Z",[50],{"attributes":51,"description":80,"edgeCount":81,"id":12,"indexable":19,"label":82,"links":83,"slug":90,"sourceRefs":91,"type":95},{"acronym":52,"code":53,"endDate":54,"frameworkProgramme":55,"funding":56,"knowledgeFlow":61,"research":68,"startDate":79},"CLINT","101003876","2025-10-31","H2020",{"currency":57,"germanNetEuContributionCents":58,"participantEdgeCount":59,"status":60},"EUR","135175751",3,"linked",{"citingCountryCount":62,"citingInstitutionCount":63,"distinctCitingWorkCount":64,"firstObservedCitationDate":65,"lastObservedCitationDate":66,"observedCitationEdgeCount":64,"status":67},10,25,8,"2025-10-25","2026-07-14","bounded_observation",{"citationDataOutputCount":69,"citedOutputCount":70,"firstPublicationDate":71,"lastPublicationDate":72,"openAccessOutputCount":73,"outputCount":69,"status":60,"totalCitations":74,"typeCounts":75},106,65,"2021-10-05","2026-03-28",104,1403,{"dataset":76,"other":59,"publication":77,"software":78},6,97,0,"2021-07-01","CLImate INTelligence: Extreme events detection, attribution and adaptation design using machine learning",9,"CLINT · CLImate INTelligence: Extreme events detection, attribution and adaptation design using machine learning",[84,86],{"kind":35,"label":85,"url":10},"CORDIS",{"kind":87,"label":88,"url":89},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101003876","project-cordis-101003876-9e7244fe",[92],{"dataset":93,"field":94,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1784624707552]