{
  "edges": [
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101003469:output:9e97b00865863a5451b6d03f",
        "url": "https://cordis.europa.eu/project/id/101003469"
      },
      "evidenceClass": "exact",
      "from": "cordis:101003469",
      "id": "edge:project-output:101003469:9e97b00865863a5451b6d03f",
      "relation": "has_observed_output",
      "to": "output:9e97b00865863a5451b6d03f"
    }
  ],
  "entity": {
    "attributes": {
      "citationCount": 0,
      "isOpenAccess": true,
      "openAireId": "doi_________::8552eb05c2009cf48c698bc6493d5067",
      "outputType": "publication",
      "persistentIdentifiers": [
        {
          "scheme": "doi",
          "value": "10.5194/egusphere-2026-1175"
        }
      ],
      "publicationDate": "2026-03-18"
    },
    "edgeCount": 1,
    "id": "output:9e97b00865863a5451b6d03f",
    "indexable": true,
    "label": "RHITA: a web tool for real-time detection of extreme weather events",
    "links": [
      {
        "kind": "official_source",
        "label": "OpenAIRE",
        "url": "https://api.openaire.eu/graph/v3/research-products/doi_________%3A%3A8552eb05c2009cf48c698bc6493d5067"
      },
      {
        "kind": "persistent_identifier",
        "label": "DOI 10.5194/egusphere-2026-1175",
        "url": "https://doi.org/10.5194/egusphere-2026-1175"
      }
    ],
    "slug": "output-9e97b00865863a5451b6d03f-efec5d46",
    "sourceRefs": [
      {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "openaire_research_product_id",
        "sourceId": "doi_________::8552eb05c2009cf48c698bc6493d5067",
        "url": "https://api.openaire.eu/graph/v3/research-products/doi_________%3A%3A8552eb05c2009cf48c698bc6493d5067"
      }
    ],
    "type": "output"
  },
  "fingerprint": "sha256:63c78b571a7a8a670d640ea7eb24c1bd932a150a2c190a5cd0e021dcf259afb3",
  "generatedAt": "2026-10-01T08:35:18.410Z",
  "neighbors": [
    {
      "attributes": {
        "acronym": "XAIDA",
        "code": "101003469",
        "endDate": "2026-02-28",
        "frameworkProgramme": "H2020",
        "funding": {
          "currency": "EUR",
          "germanNetEuContributionCents": "131470500",
          "participantEdgeCount": 6,
          "status": "linked"
        },
        "knowledgeFlow": null,
        "research": {
          "citationDataOutputCount": 283,
          "citedOutputCount": 188,
          "firstPublicationDate": "2021-01-01",
          "lastPublicationDate": "2026-03-18",
          "openAccessOutputCount": 262,
          "outputCount": 283,
          "status": "linked",
          "totalCitations": 4951,
          "typeCounts": {
            "dataset": 14,
            "other": 0,
            "publication": 262,
            "software": 7
          }
        },
        "startDate": "2021-09-01"
      },
      "description": "EXTREME EVENTS: ARTIFICIAL INTELLIGENCE FOR DETECTION AND ATTRIBUTION",
      "edgeCount": 57,
      "id": "cordis:101003469",
      "indexable": true,
      "label": "XAIDA · EXTREME EVENTS: ARTIFICIAL INTELLIGENCE FOR DETECTION AND ATTRIBUTION",
      "links": [
        {
          "kind": "official_source",
          "label": "CORDIS",
          "url": "https://cordis.europa.eu/project/id/101003469"
        },
        {
          "kind": "local_dossier",
          "label": "KI-Innovationspfad",
          "url": "/tools/ki-innovationspfad/?project=101003469"
        }
      ],
      "slug": "project-cordis-101003469-89a8641a",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "cordis_project_id",
          "sourceId": "cordis:101003469",
          "url": "https://cordis.europa.eu/project/id/101003469"
        }
      ],
      "type": "project"
    }
  ],
  "schemaVersion": "ki-evidenznetz.entity.v1"
}
