{
  "edges": [
    {
      "evidence": {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_code_and_participant_pic",
        "sourceId": "cordis:101134991:participant:998427888",
        "url": "https://cordis.europa.eu/project/id/101134991"
      },
      "evidenceClass": "exact",
      "from": "actor:cordis-pic:998427888",
      "id": "claim:funding:101134991:998427888",
      "relation": "participates_in",
      "to": "cordis:101134991"
    },
    {
      "evidence": {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_code_and_participant_pic",
        "sourceId": "cordis:101134991:participant:998454078",
        "url": "https://cordis.europa.eu/project/id/101134991"
      },
      "evidenceClass": "exact",
      "from": "actor:cordis-pic:998454078",
      "id": "claim:funding:101134991:998454078",
      "relation": "participates_in",
      "to": "cordis:101134991"
    },
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101134991:output:95b6c3108cf64ecb6ab82467",
        "url": "https://cordis.europa.eu/project/id/101134991"
      },
      "evidenceClass": "exact",
      "from": "cordis:101134991",
      "id": "edge:project-output:101134991:95b6c3108cf64ecb6ab82467",
      "relation": "has_observed_output",
      "to": "output:95b6c3108cf64ecb6ab82467"
    }
  ],
  "entity": {
    "attributes": {
      "acronym": "MoniFun",
      "code": "101134991",
      "endDate": "2027-12-31",
      "frameworkProgramme": "HORIZON",
      "funding": {
        "currency": "EUR",
        "germanNetEuContributionCents": "70095875",
        "participantEdgeCount": 2,
        "status": "linked"
      },
      "knowledgeFlow": {
        "citingCountryCount": 7,
        "citingInstitutionCount": 12,
        "distinctCitingWorkCount": 2,
        "firstObservedCitationDate": "2026-06-06",
        "lastObservedCitationDate": "2026-06-18",
        "observedCitationEdgeCount": 2,
        "status": "bounded_observation"
      },
      "research": {
        "citationDataOutputCount": 21,
        "citedOutputCount": 9,
        "firstPublicationDate": "2024-07-01",
        "lastPublicationDate": "2025-12-01",
        "openAccessOutputCount": 20,
        "outputCount": 21,
        "status": "linked",
        "totalCitations": 42,
        "typeCounts": {
          "dataset": 2,
          "other": 0,
          "publication": 19,
          "software": 0
        }
      },
      "startDate": "2024-01-01"
    },
    "description": "Co-creating a blueprint of a harmonised European Forest Multifunctionality Monitoring System - MoniFun",
    "edgeCount": 3,
    "id": "cordis:101134991",
    "indexable": true,
    "label": "MoniFun · Co-creating a blueprint of a harmonised European Forest Multifunctionality Monitoring System - MoniFun",
    "links": [
      {
        "kind": "official_source",
        "label": "CORDIS",
        "url": "https://cordis.europa.eu/project/id/101134991"
      },
      {
        "kind": "local_dossier",
        "label": "KI-Innovationspfad",
        "url": "/tools/ki-innovationspfad/?project=101134991"
      }
    ],
    "slug": "project-cordis-101134991-53775302",
    "sourceRefs": [
      {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_id",
        "sourceId": "cordis:101134991",
        "url": "https://cordis.europa.eu/project/id/101134991"
      }
    ],
    "type": "project"
  },
  "fingerprint": "sha256:1853ecf8eba1073409e967fcc9b8c18728cd4bd8317cef2ad6bbf48afddd3fc9",
  "generatedAt": "2026-07-21T08:59:15.288Z",
  "neighbors": [
    {
      "attributes": {
        "aliases": [
          "JOHANN HEINRICH VON THUENEN-INSTITUT, BUNDESFORSCHUNGSINSTITUT FUER LAENDLICHE RAEUME, WALD UND FISCHEREI"
        ],
        "identifiers": [
          {
            "scheme": "cordis-pic",
            "value": "998427888"
          }
        ],
        "identityBasis": "official_identifier",
        "kind": "organization",
        "lanes": [
          "funding"
        ],
        "roles": [
          "funding_participant"
        ]
      },
      "edgeCount": 4,
      "id": "actor:cordis-pic:998427888",
      "indexable": true,
      "label": "JOHANN HEINRICH VON THUENEN-INSTITUT, BUNDESFORSCHUNGSINSTITUT FUER LAENDLICHE RAEUME, WALD UND FISCHEREI",
      "links": [
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101060423"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101134991"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101197332"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/817566"
        }
      ],
      "slug": "actor-cordis-pic-998427888-4892a252",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "official_identifier",
          "recordCount": 4,
          "sourceId": "cordis:101060423:participant:998427888",
          "url": "https://cordis.europa.eu/project/id/101060423"
        }
      ],
      "type": "actor"
    },
    {
      "attributes": {
        "aliases": [
          "FACHAGENTUR NACHWACHSENDE ROHSTOFFE EV"
        ],
        "identifiers": [
          {
            "scheme": "cordis-pic",
            "value": "998454078"
          }
        ],
        "identityBasis": "official_identifier",
        "kind": "organization",
        "lanes": [
          "funding"
        ],
        "roles": [
          "funding_participant"
        ]
      },
      "edgeCount": 1,
      "id": "actor:cordis-pic:998454078",
      "indexable": true,
      "label": "FACHAGENTUR NACHWACHSENDE ROHSTOFFE EV",
      "links": [
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101134991"
        }
      ],
      "slug": "actor-cordis-pic-998454078-d0200c74",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "official_identifier",
          "recordCount": 1,
          "sourceId": "cordis:101134991:participant:998454078",
          "url": "https://cordis.europa.eu/project/id/101134991"
        }
      ],
      "type": "actor"
    },
    {
      "attributes": {
        "citationCount": 0,
        "isOpenAccess": true,
        "openAireId": "doi_dedup___::fdae7ccc0c2d59e124ee2aa24be2e65d",
        "outputType": "publication",
        "persistentIdentifiers": [
          {
            "scheme": "doi",
            "value": "10.1016/j.srs.2025.100318"
          },
          {
            "scheme": "handle",
            "value": "11585/1029976"
          },
          {
            "scheme": "handle",
            "value": "2158/1451037"
          }
        ],
        "publicationDate": "2025-12-01"
      },
      "edgeCount": 1,
      "id": "output:95b6c3108cf64ecb6ab82467",
      "indexable": true,
      "label": "Bridging spatio-temporal gaps in ALS data using Landsat time series and forest disturbance-recovery metrics via multi-task neural networks",
      "links": [
        {
          "kind": "official_source",
          "label": "OpenAIRE",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3Afdae7ccc0c2d59e124ee2aa24be2e65d"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.1016/j.srs.2025.100318",
          "url": "https://doi.org/10.1016/j.srs.2025.100318"
        }
      ],
      "slug": "output-95b6c3108cf64ecb6ab82467-de0f966b",
      "sourceRefs": [
        {
          "dataset": "german-ai-research-to-transfer-index",
          "field": "openaire_research_product_id",
          "sourceId": "doi_dedup___::fdae7ccc0c2d59e124ee2aa24be2e65d",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3Afdae7ccc0c2d59e124ee2aa24be2e65d"
        }
      ],
      "type": "output"
    }
  ],
  "schemaVersion": "ki-evidenznetz.entity.v1"
}