[{"data":1,"prerenderedAt":94},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-95b6c3108cf64ecb6ab82467-de0f966b":3},{"edges":4,"entity":16,"fingerprint":48,"generatedAt":49,"neighbors":50,"schemaVersion":93},[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","101134991:output:95b6c3108cf64ecb6ab82467","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101134991","exact","cordis:101134991","edge:project-output:101134991:95b6c3108cf64ecb6ab82467","has_observed_output","output:95b6c3108cf64ecb6ab82467",{"attributes":17,"edgeCount":32,"id":15,"indexable":19,"label":33,"links":34,"slug":43,"sourceRefs":44,"type":47},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":31},0,true,"doi_dedup___::fdae7ccc0c2d59e124ee2aa24be2e65d","publication",[23,26,29],{"scheme":24,"value":25},"doi","10.1016\u002Fj.srs.2025.100318",{"scheme":27,"value":28},"handle","11585\u002F1029976",{"scheme":27,"value":30},"2158\u002F1451037","2025-12-01",1,"Bridging spatio-temporal gaps in ALS data using Landsat time series and forest disturbance-recovery metrics via multi-task neural networks",[35,39],{"kind":36,"label":37,"url":38},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3Afdae7ccc0c2d59e124ee2aa24be2e65d",{"kind":40,"label":41,"url":42},"persistent_identifier","DOI 10.1016\u002Fj.srs.2025.100318","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.srs.2025.100318","output-95b6c3108cf64ecb6ab82467-de0f966b",[45],{"dataset":7,"field":46,"sourceId":20,"url":38},"openaire_research_product_id","output","sha256:6b7090d88f69a21b65204e4d6d7444ddb77189401929f36a67f47217433b6196","2026-07-21T08:59:15.288Z",[51],{"attributes":52,"description":77,"edgeCount":78,"id":12,"indexable":19,"label":79,"links":80,"slug":87,"sourceRefs":88,"type":92},{"acronym":53,"code":54,"endDate":55,"frameworkProgramme":56,"funding":57,"knowledgeFlow":62,"research":68,"startDate":76},"MoniFun","101134991","2027-12-31","HORIZON",{"currency":58,"germanNetEuContributionCents":59,"participantEdgeCount":60,"status":61},"EUR","70095875",2,"linked",{"citingCountryCount":63,"citingInstitutionCount":64,"distinctCitingWorkCount":60,"firstObservedCitationDate":65,"lastObservedCitationDate":66,"observedCitationEdgeCount":60,"status":67},7,12,"2026-06-06","2026-06-18","bounded_observation",{"citationDataOutputCount":69,"citedOutputCount":70,"firstPublicationDate":71,"lastPublicationDate":31,"openAccessOutputCount":72,"outputCount":69,"status":61,"totalCitations":73,"typeCounts":74},21,9,"2024-07-01",20,42,{"dataset":60,"other":18,"publication":75,"software":18},19,"2024-01-01","Co-creating a blueprint of a harmonised European Forest Multifunctionality Monitoring System - MoniFun",3,"MoniFun · Co-creating a blueprint of a harmonised European Forest Multifunctionality Monitoring System - MoniFun",[81,83],{"kind":36,"label":82,"url":10},"CORDIS",{"kind":84,"label":85,"url":86},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101134991","project-cordis-101134991-53775302",[89],{"dataset":90,"field":91,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1784624700052]