{
  "access": "open",
  "creators": [
    {
      "name": "El Baz, Mathias",
      "orcid": "0000-0002-9562-3897"
    },
    {
      "name": "Giannessi, Lorenzo",
      "orcid": "0000-0001-6899-7116"
    },
    {
      "affiliation": "University of Geneva",
      "name": "Blanchet, Adrien",
      "orcid": "0000-0002-4992-0161"
    },
    {
      "affiliation": "University of Geneva",
      "name": "Sanchez Nieto, Federico",
      "orcid": "0000-0003-0320-3623"
    }
  ],
  "curation": {
    "added": "2026-10-23",
    "harvest": {
      "citations": 0,
      "downloads": 0,
      "harvested": "2026-10-23",
      "query": "titles.title:neutrino AND publisher:Zenodo",
      "score": 0.0,
      "source": "datacite",
      "views": 0
    },
    "quality_notes": ["metadata harvested from the repository; tags and summary assigned by the curator from title and abstract"],
    "source": "harvest:datacite (curated 2026-10-23)",
    "status": "curated"
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  "data": {
    "levels": ["mc"]
  },
  "date_published": "2026-07-03",
  "description": "Dataset of simulated neutrino-nucleus interactions formatted for GUNDAM and used in the Near Detector fit described in the paper, including FHC (neutrino) and RHC (antineutrino) pseudo-data and MC inputs. File-by-file details and usage instructions are provided in README.md.",
  "distributions": [
    {
      "host": "zenodo",
      "role": "primary",
      "url": "https://doi.org/10.5281/zenodo.21104523"
    }
  ],
  "doi": "10.5281/zenodo.21104523",
  "id": "flow-surrogates-neutrino-likelihoods",
  "license": "CC-BY-4.0",
  "license_url": "https://creativecommons.org/licenses/by/4.0/legalcode",
  "publisher": {
    "name": "Zenodo"
  },
  "relations": [
    {
      "rel": "uses",
      "target": "gundam"
    }
  ],
  "short": "Flow-based surrogates for high-dimensional likelihoods: GUNDAM-formatted near-detector pseudo-data and MC",
  "sources": ["accelerator"],
  "title": "Flow-Based Surrogates for High-Dimensional Likelihoods in Experimental Neutrino Physics",
  "topics": ["statistics"],
  "type": "dataset",
  "url_landing": "https://zenodo.org/doi/10.5281/zenodo.21104523"
}