[{"data":1,"prerenderedAt":103},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-37350384410cf1f81ead19c6-26deaf02":3},{"edges":4,"entity":16,"fingerprint":54,"generatedAt":55,"neighbors":56,"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","101086179:output:37350384410cf1f81ead19c6","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101086179","exact","cordis:101086179","edge:project-output:101086179:37350384410cf1f81ead19c6","has_observed_output","output:37350384410cf1f81ead19c6",{"attributes":17,"edgeCount":35,"id":15,"indexable":19,"label":36,"links":37,"slug":49,"sourceRefs":50,"type":53},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":34},6,true,"doi_dedup___::70bca06b98f2b69a711d2154270dfe71","publication",[23,26,28,31],{"scheme":24,"value":25},"doi","10.21203\u002Frs.3.rs-5128244\u002Fv2",{"scheme":24,"value":27},"10.7717\u002Fpeerj.19605",{"scheme":29,"value":30},"pmc","PMC12269785",{"scheme":32,"value":33},"pmid","40677752","2025-05-01",1,"Spatiotemporal prediction of soil organic carbon density in Europe (2000–2022) using earth observation and machine learning",[38,42,46],{"kind":39,"label":40,"url":41},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3A70bca06b98f2b69a711d2154270dfe71",{"kind":43,"label":44,"url":45},"persistent_identifier","DOI 10.21203\u002Frs.3.rs-5128244\u002Fv2","https:\u002F\u002Fdoi.org\u002F10.21203\u002Frs.3.rs-5128244\u002Fv2",{"kind":43,"label":47,"url":48},"DOI 10.7717\u002Fpeerj.19605","https:\u002F\u002Fdoi.org\u002F10.7717\u002Fpeerj.19605","output-37350384410cf1f81ead19c6-26deaf02",[51],{"dataset":7,"field":52,"sourceId":20,"url":41},"openaire_research_product_id","output","sha256:c8e51e91de7cf5186e8e32bda60a92ede4dc878376a562ce6e4caf37a6364ca7","2026-11-12T09:00:31.263Z",[57],{"attributes":58,"description":87,"edgeCount":78,"id":12,"indexable":19,"label":88,"links":89,"slug":96,"sourceRefs":97,"type":101},{"acronym":59,"code":60,"endDate":61,"frameworkProgramme":62,"funding":63,"knowledgeFlow":68,"research":76,"startDate":72},"AI4SoilHealth","101086179","2026-12-31","HORIZON",{"currency":64,"germanNetEuContributionCents":65,"participantEdgeCount":66,"status":67},"EUR","192336500",4,"linked",{"citingCountryCount":69,"citingInstitutionCount":70,"distinctCitingWorkCount":71,"firstObservedCitationDate":72,"lastObservedCitationDate":73,"observedCitationEdgeCount":74,"status":75},108,1798,1150,"2023-01-01","2026-10-31",1278,"full_input_observation",{"citationDataOutputCount":77,"citedOutputCount":78,"firstPublicationDate":72,"lastPublicationDate":79,"openAccessOutputCount":80,"outputCount":77,"status":67,"totalCitations":81,"typeCounts":82},285,58,"2026-03-13",281,748,{"dataset":83,"other":84,"publication":85,"software":86},203,5,74,3,"AI4SoilHealth: Accelerating collection and use of soil health information using AI technology to support the Soil Deal for Europe and EU Soil Observatory","AI4SoilHealth · AI4SoilHealth: Accelerating collection and use of soil health information using AI technology to support the Soil Deal for Europe and EU Soil Observatory",[90,92],{"kind":39,"label":91,"url":10},"CORDIS",{"kind":93,"label":94,"url":95},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101086179","project-cordis-101086179-eb4702fb",[98],{"dataset":99,"field":100,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1794474559965]