rows {
  options {
    physical_type: PHYSICAL_STREAM_TYPE_QUADS
    max_name_table_size: 128
    max_prefix_table_size: 16
    max_datatype_table_size: 16
    logical_type: LOGICAL_STREAM_TYPE_DATASETS
    version: 2
  }
}
rows {
  prefix {
    value: "https://w3id.org/sciencelive/np/"
  }
}
rows {
  name {
    value: "RABINnMx1JSQG_DJlcsbCwExgkh8rtU7aBvVIHIRaCaB4"
  }
}
rows {
  namespace {
    name: "this"
    value {
      prefix_id: 1
    }
  }
}
rows {
  prefix {
    value: "https://w3id.org/sciencelive/np/RABINnMx1JSQG_DJlcsbCwExgkh8rtU7aBvVIHIRaCaB4/"
  }
}
rows {
  name {
  }
}
rows {
  namespace {
    name: "sub"
    value {
      prefix_id: 2
    }
  }
}
rows {
  prefix {
    value: "http://www.nanopub.org/nschema#"
  }
}
rows {
  namespace {
    name: "np"
    value {
      prefix_id: 3
      name_id: 2
    }
  }
}
rows {
  prefix {
    value: "http://www.w3.org/1999/02/22-rdf-syntax-ns#"
  }
}
rows {
  namespace {
    name: "rdf"
    value {
      prefix_id: 4
      name_id: 2
    }
  }
}
rows {
  prefix {
    value: "http://www.w3.org/ns/prov#"
  }
}
rows {
  namespace {
    name: "prov"
    value {
      prefix_id: 5
      name_id: 2
    }
  }
}
rows {
  prefix {
    value: "http://purl.org/nanopub/x/"
  }
}
rows {
  namespace {
    name: "npx"
    value {
      prefix_id: 6
      name_id: 2
    }
  }
}
rows {
  prefix {
    value: "http://purl.org/dc/terms/"
  }
}
rows {
  namespace {
    name: "dc"
    value {
      prefix_id: 7
      name_id: 2
    }
  }
}
rows {
  prefix {
    value: "http://www.w3.org/2001/XMLSchema#"
  }
}
rows {
  namespace {
    name: "xsd"
    value {
      prefix_id: 8
      name_id: 2
    }
  }
}
rows {
  name {
    value: "hasAssertion"
  }
}
rows {
  name {
    value: "assertion"
  }
}
rows {
  name {
    value: "Head"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 1
      name_id: 1
    }
    p_iri {
      prefix_id: 3
      name_id: 3
    }
    o_iri {
      prefix_id: 2
    }
    g_iri {
    }
  }
}
rows {
  name {
    value: "hasProvenance"
  }
}
rows {
  name {
    value: "provenance"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 3
    }
    o_iri {
      prefix_id: 2
    }
  }
}
rows {
  name {
    value: "hasPublicationInfo"
  }
}
rows {
  name {
    value: "pubinfo"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 3
    }
    o_iri {
      prefix_id: 2
    }
  }
}
rows {
  name {
    value: "type"
  }
}
rows {
  name {
    value: "Nanopublication"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 4
    }
    o_iri {
      prefix_id: 3
    }
  }
}
rows {
  prefix {
    value: "https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w/"
  }
}
rows {
  name {
    value: "comparatorGroup"
  }
}
rows {
  name {
    value: "description"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 9
    }
    p_iri {
      prefix_id: 7
    }
    o_literal {
      lex: "The same detection + overlap-tracking algorithm run locally outside Galaxy (scikit-image + scipy), used to confirm the Galaxy result and to provide a hermetic, credential-free reproduction."
    }
    g_iri {
      prefix_id: 2
      name_id: 4
    }
  }
}
rows {
  name {
    value: "interventionGroup"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 9
      name_id: 14
    }
    o_literal {
      lex: "The CellProfiler object-tracking pipeline (IdentifyPrimaryObjects + MeasureObjectSizeShape + TrackObjects) segments and tracks dividing cell nuclei in fluorescence time-lapse microscopy, applied to the IVT fields through a Galaxy workflow. It is a cross-discipline transfer of a bioimaging tracker to Earth-system science. Atmospheric rivers are identified using the established Guan & Waliser (2015) criteria (IVT threshold, length, length/width ratio, poleward flux)."
    }
  }
}
rows {
  name {
    value: "outcomeGroup"
  }
}
rows {
  quad {
    s_iri {
    }
    o_literal {
      lex: "Recovery of coherent atmospheric-river objects per timestep \342\200\224 each with a persistent identity, centroid trajectory, length, IVT intensity and poleward flux \342\200\224 and whether the tracker follows them across time as they intensify, drift, merge and split."
    }
  }
}
rows {
  name {
    value: "population"
  }
}
rows {
  quad {
    s_iri {
    }
    o_literal {
      lex: "Gridded fields of integrated water-vapour transport (IVT) from the ERA5 reanalysis (here the North Pacific, early February 2017, 6-hourly, 0.25 degrees), in which atmospheric rivers appear as long narrow filaments of high IVT."
    }
  }
}
rows {
  name {
    value: "cellprofiler-trackobjects-atmospheric-rivers"
  }
}
rows {
  prefix {
    value: "http://data.cochrane.org/ontologies/pico/"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 2
    }
    p_iri {
      prefix_id: 10
      name_id: 12
    }
    o_iri {
      prefix_id: 9
      name_id: 12
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 10
      name_id: 14
    }
    o_iri {
      prefix_id: 9
      name_id: 14
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 10
    }
    o_iri {
      prefix_id: 9
      name_id: 15
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 10
    }
    o_iri {
      prefix_id: 9
      name_id: 16
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 7
      name_id: 13
    }
    o_literal {
      lex: "In a time-series of ERA5 integrated water-vapour transport (IVT) fields containing atmospheric rivers, does the CellProfiler object-tracking pipeline \342\200\224 IdentifyPrimaryObjects plus TrackObjects, built to follow dividing nuclei in fluorescence time-lapse and applied without modification through a Galaxy workflow, compared with the same algorithm run locally outside Galaxy, recover coherent atmospheric-river objects and their trajectories across consecutive 6-hourly time steps, including rivers that intensify, drift and split?"
    }
  }
}
rows {
  name {
    value: "PICO"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 4
      name_id: 10
    }
    o_iri {
      prefix_id: 10
      name_id: 18
    }
  }
}
rows {
  prefix {
    value: "https://w3id.org/sciencelive/o/terms/"
  }
}
rows {
  name {
    value: "DescriptiveResearchQuestion"
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 11
    }
  }
}
rows {
  prefix {
    value: "http://www.w3.org/2000/01/rdf-schema#"
  }
}
rows {
  name {
    value: "label"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 12
    }
    o_literal {
      lex: "Can a bioimaging object-tracking pipeline detect and track atmospheric rivers in ERA5 IVT via Galaxy?"
    }
  }
}
rows {
  name {
    value: "wasAttributedTo"
  }
}
rows {
  prefix {
    value: "https://orcid.org/"
  }
}
rows {
  name {
    value: "0000-0002-1784-2920"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 2
      name_id: 4
    }
    p_iri {
      prefix_id: 5
      name_id: 21
    }
    o_iri {
      prefix_id: 13
    }
    g_iri {
      prefix_id: 2
      name_id: 7
    }
  }
}
rows {
  prefix {
    value: "http://xmlns.com/foaf/0.1/"
  }
}
rows {
  name {
    value: "name"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 13
      name_id: 22
    }
    p_iri {
      prefix_id: 14
    }
    o_literal {
      lex: "Anne Fouilloux"
    }
    g_iri {
      prefix_id: 2
      name_id: 9
    }
  }
}
rows {
  name {
    value: "created"
  }
}
rows {
  datatype {
    value: "http://www.w3.org/2001/XMLSchema#dateTime"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 1
      name_id: 1
    }
    p_iri {
      prefix_id: 7
      name_id: 24
    }
    o_literal {
      lex: "2026-06-23T09:52:27.818Z"
      datatype: 1
    }
  }
}
rows {
  name {
    value: "creator"
  }
}
rows {
  quad {
    p_iri {
    }
    o_iri {
      prefix_id: 13
      name_id: 22
    }
  }
}
rows {
  name {
    value: "license"
  }
}
rows {
  prefix {
    value: "https://creativecommons.org/licenses/by/4.0/"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 7
      name_id: 26
    }
    o_iri {
      prefix_id: 15
      name_id: 2
    }
  }
}
rows {
  name {
    value: "introduces"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 27
    }
    o_iri {
      prefix_id: 2
      name_id: 17
    }
  }
}
rows {
  name {
    value: "wasCreatedAt"
  }
}
rows {
  prefix {
    value: "https://"
  }
}
rows {
  name {
    value: "platform.sciencelive4all.org"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 28
    }
    o_iri {
      prefix_id: 16
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 12
      name_id: 20
    }
    o_literal {
      lex: "Can a bioimaging object-tracking pipeline detect and track atmospheric rivers in ERA5 IVT via Galaxy?"
    }
  }
}
rows {
  prefix {
    id: 8
    value: "https://w3id.org/np/o/ntemplate/"
  }
}
rows {
  name {
    value: "wasCreatedFromTemplate"
  }
}
rows {
  prefix {
    id: 3
    value: "https://w3id.org/np/"
  }
}
rows {
  name {
    value: "RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 8
      name_id: 30
    }
    o_iri {
      prefix_id: 3
    }
  }
}
rows {
  name {
    value: "sig"
  }
}
rows {
  name {
    value: "hasAlgorithm"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 2
    }
    p_iri {
      prefix_id: 6
    }
    o_literal {
      lex: "RSA"
    }
  }
}
rows {
  name {
    value: "hasPublicKey"
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "MIICIjANBgkqhkiG9w0BAQEFAAOCAg8AMIICCgKCAgEAoDcOiD+jen8awiJ6DB2ewDw66PeG64hODmgNFwy7GrwQui4HKnHdvxd++1UhTgiOfycxyxBb7sXPSikLw/1TsSyPsEl0P3/+600szxpTGgLNzW+bZ2DVP3d8ERMV1aWpH0ci3B/5vmK+vXQZ4uCoq57NE0MiFg5c13Gy0gd6n7wZYEhYM4AjWSLL0QS/HY+TFZMYL9bCFeATennGrlB2UEjRlw21UB2Ah16ZZ6hxQlfctFJZE7TGnBJPB3ttTjfcOfamhjZVwQ0yV9mv7x6PGiSmkzpJTVLjn8hagoKT05YUwVQArFb+w7f6sXqvvljMigjd/Rbqgbye/lLUAZLfJSnFM58TubfpEJvXV4zNMDEoT3VQ7dokgoLgMrmjZCKATtQ7gomocoTJ1NhN2esRNtGzWaS2obL/mueUQlMlavssZnqL8WICkdAuDlwDVNbsbwEWKQ50kiPdAdduSigifxA4CM7TgvnxqZVoAResEGP6UhTTem3T4CsbEas1Caj9wa7M1jPjACu5LF5BwcVns3ZQHWLipjRjD+9/ur3G8QtuxbNhmXlDYQ6tXxB1lK+Oz7O519b3bA15ilzFl0SdvMBGTe46xaQ9DsJT18THKnPbUhNMy0dH0VtzpB+EEaXZ25Fp9VHMEUqo1lLS9e89eO3efiqkESKQ7wmB+/DlIRcCAwEAAQ=="
    }
  }
}
rows {
  name {
    value: "hasSignature"
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "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"
    }
  }
}
rows {
  name {
    value: "hasSignatureTarget"
  }
}
rows {
  quad {
    p_iri {
    }
    o_iri {
      prefix_id: 1
      name_id: 1
    }
  }
}
rows {
  name {
    value: "signedBy"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 37
    }
    o_iri {
      prefix_id: 13
      name_id: 22
    }
  }
}