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/np/"
  }
}
rows {
  name {
    value: "RAO3Siv0rUDabjaUTr6NKjXY4s35CjPCK-WzZgr_N3UMM"
  }
}
rows {
  namespace {
    name: "this"
    value {
      prefix_id: 1
    }
  }
}
rows {
  prefix {
    value: "https://w3id.org/np/RAO3Siv0rUDabjaUTr6NKjXY4s35CjPCK-WzZgr_N3UMM/"
  }
}
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://purl.org/dc/terms/"
  }
}
rows {
  namespace {
    name: "dct"
    value {
      prefix_id: 4
      name_id: 2
    }
  }
}
rows {
  prefix {
    value: "http://purl.org/pav/"
  }
}
rows {
  namespace {
    name: "pav"
    value {
      prefix_id: 5
      name_id: 2
    }
  }
}
rows {
  prefix {
    value: "http://www.w3.org/1999/02/22-rdf-syntax-ns#"
  }
}
rows {
  namespace {
    name: "rdf"
    value {
      prefix_id: 6
      name_id: 2
    }
  }
}
rows {
  prefix {
    value: "http://www.w3.org/2002/07/owl#"
  }
}
rows {
  namespace {
    name: "owl"
    value {
      prefix_id: 7
      name_id: 2
    }
  }
}
rows {
  prefix {
    value: "http://www.w3.org/2004/03/trix/rdfg-1/"
  }
}
rows {
  namespace {
    name: "rdfg"
    value {
      prefix_id: 8
      name_id: 2
    }
  }
}
rows {
  prefix {
    value: "http://purl.org/dc/elements/1.1/"
  }
}
rows {
  namespace {
    name: "dce"
    value {
      prefix_id: 9
      name_id: 2
    }
  }
}
rows {
  prefix {
    value: "http://www.w3.org/2001/XMLSchema#"
  }
}
rows {
  namespace {
    name: "xsd"
    value {
      prefix_id: 10
      name_id: 2
    }
  }
}
rows {
  prefix {
    value: "http://www.w3.org/2000/01/rdf-schema#"
  }
}
rows {
  namespace {
    name: "rdfs"
    value {
      prefix_id: 11
      name_id: 2
    }
  }
}
rows {
  prefix {
    value: "http://www.w3.org/ns/prov#"
  }
}
rows {
  namespace {
    name: "prov"
    value {
      prefix_id: 12
      name_id: 2
    }
  }
}
rows {
  prefix {
    value: "http://purl.org/nanopub/x/"
  }
}
rows {
  namespace {
    name: "npx"
    value {
      prefix_id: 13
      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: 6
    }
    o_iri {
      prefix_id: 3
    }
  }
}
rows {
  prefix {
    value: "http://eurovoc.europa.eu/"
  }
}
rows {
  name {
    value: "2114"
  }
}
rows {
  prefix {
    value: "http://schema.org/"
  }
}
rows {
  name {
    value: "description"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
    }
    p_iri {
      prefix_id: 15
    }
    o_literal {
    }
    g_iri {
      prefix_id: 2
      name_id: 4
    }
  }
}
rows {
  name {
    value: "name"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "Oceanography"
    }
  }
}
rows {
  name {
    value: "DefinedTerm"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 15
      name_id: 15
    }
  }
}
rows {
  name {
    value: "2919"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
    }
    p_iri {
      prefix_id: 15
      name_id: 13
    }
    o_literal {
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "Environmental research"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 15
      name_id: 15
    }
  }
}
rows {
  name {
    value: "c_a935cf3f"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 17
    }
    p_iri {
      prefix_id: 15
      name_id: 13
    }
    o_literal {
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "Earth observation"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 15
      name_id: 15
    }
  }
}
rows {
  prefix {
    value: "https://w3id.org/ro-id/"
  }
}
rows {
  name {
    value: "02e3c75c-977e-441a-84d2-e5e2b4fd373e"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 16
      name_id: 18
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "imagery notebook"
    }
  }
}
rows {
  prefix {
    id: 4
    value: "https://w3id.org/ro/terms/earth-science#"
  }
}
rows {
  name {
    value: "Phrase"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 4
      name_id: 19
    }
  }
}
rows {
  name {
    value: "normScore"
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "43.336724313326556"
    }
  }
}
rows {
  name {
    value: "score"
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "42.6"
    }
  }
}
rows {
  name {
    value: "108ff0bd-b0de-4305-9927-a88de694b325"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 16
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "physical object"
    }
  }
}
rows {
  name {
    value: "Concept"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 4
      name_id: 23
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "11.511789181692096"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "8.3"
    }
  }
}
rows {
  prefix {
    value: "https://w3id.org/ro-id/1332a0b9-94f4-4f2c-a4dc-d52e99e1d61a/#"
  }
}
rows {
  name {
    value: "105f09b9-47be-4ca1-9262-fad1c4f7ba3c"
  }
}
rows {
  name {
    value: "geo"
  }
}
rows {
  name {
    value: "fd3b3072-f967-4d63-8372-5ee216448dc8"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 5
      name_id: 24
    }
    p_iri {
      prefix_id: 15
    }
    o_iri {
      prefix_id: 5
    }
  }
}
rows {
  name {
    value: "identifier"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
    }
    o_literal {
      lex: "105f09b9-47be-4ca1-9262-fad1c4f7ba3c"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 14
    }
    o_literal {
      lex: "POLYGON ((26.521543885417145 39.03722381230471, 26.52744474524991 39.03722381230471, 26.52744474524991 39.04105711064335, 26.521543885417145 39.04105711064335, 26.521543885417145 39.03722381230471))"
    }
  }
}
rows {
  name {
    value: "Place"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 15
      name_id: 28
    }
  }
}
rows {
  name {
    value: "173cee7b-409f-4157-92fc-6554df1b7e9c"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 5
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "POLYGON ((-86.82548387 20.977342054, -86.751891297 20.977342054, -86.751891297 21.033273193, -86.82548387 21.033273193, -86.82548387 20.977342054))"
    }
  }
}
rows {
  name {
    value: "polygon"
  }
}
rows {
  quad {
    p_iri {
      name_id: 30
    }
    o_literal {
      lex: "-86.82548387 20.977342054, -86.751891297 20.977342054, -86.751891297 21.033273193, -86.82548387 21.033273193, -86.82548387 20.977342054"
    }
  }
}
rows {
  name {
    value: "GeoShape"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 15
      name_id: 31
    }
  }
}
rows {
  name {
    value: "1c76cefd-fff6-4b21-a37a-de59ab9c2042"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 5
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "POLYGON ((119.12620106576212 39.27393119797617, 119.19563809273966 39.27393119797617, 119.19563809273966 39.30980175207518, 119.12620106576212 39.30980175207518, 119.12620106576212 39.27393119797617))"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 30
    }
    o_literal {
      lex: "119.12620106576212 39.27393119797617, 119.19563809273966 39.27393119797617, 119.19563809273966 39.30980175207518, 119.12620106576212 39.30980175207518, 119.12620106576212 39.27393119797617"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 15
      name_id: 31
    }
  }
}
rows {
  name {
    value: "3cbacdad-e5c9-43de-bd48-4ea2eac57e00"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 5
      name_id: 33
    }
    p_iri {
      prefix_id: 15
      name_id: 25
    }
    o_iri {
      prefix_id: 5
      name_id: 29
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 27
    }
    o_literal {
      lex: "3cbacdad-e5c9-43de-bd48-4ea2eac57e00"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 14
    }
    o_literal {
      lex: "POLYGON ((-86.82548387 20.977342054, -86.751891297 20.977342054, -86.751891297 21.033273193, -86.82548387 21.033273193, -86.82548387 20.977342054))"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 15
      name_id: 28
    }
  }
}
rows {
  name {
    value: "9942e93e-7cd1-41d2-8ba0-dfbe2cca9ebb"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 5
      name_id: 34
    }
    p_iri {
      prefix_id: 15
      name_id: 25
    }
    o_iri {
      prefix_id: 5
      name_id: 32
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 27
    }
    o_literal {
      lex: "9942e93e-7cd1-41d2-8ba0-dfbe2cca9ebb"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 14
    }
    o_literal {
      lex: "POLYGON ((119.12620106576212 39.27393119797617, 119.19563809273966 39.27393119797617, 119.19563809273966 39.30980175207518, 119.12620106576212 39.30980175207518, 119.12620106576212 39.27393119797617))"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 15
      name_id: 28
    }
  }
}
rows {
  name {
    value: "b7f011f5-7272-4432-8e4b-a4f7f7b39969"
  }
}
rows {
  name {
    value: "e008a487-f6f3-4268-9025-3156fd81c9aa"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 5
      name_id: 35
    }
    p_iri {
      prefix_id: 15
      name_id: 25
    }
    o_iri {
      prefix_id: 5
      name_id: 36
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 27
    }
    o_literal {
      lex: "b7f011f5-7272-4432-8e4b-a4f7f7b39969"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 14
    }
    o_literal {
      lex: "POLYGON ((-43.2315509040757 -22.80675019122663, -43.02418396071632 -22.80675019122663, -43.02418396071632 -22.678831998280632, -43.2315509040757 -22.678831998280632, -43.2315509040757 -22.80675019122663))"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 15
      name_id: 28
    }
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 5
      name_id: 36
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "POLYGON ((-43.2315509040757 -22.80675019122663, -43.02418396071632 -22.80675019122663, -43.02418396071632 -22.678831998280632, -43.2315509040757 -22.678831998280632, -43.2315509040757 -22.80675019122663))"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 30
    }
    o_literal {
      lex: "-43.2315509040757 -22.80675019122663, -43.02418396071632 -22.80675019122663, -43.02418396071632 -22.678831998280632, -43.2315509040757 -22.678831998280632, -43.2315509040757 -22.80675019122663"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 15
      name_id: 31
    }
  }
}
rows {
  name {
    value: "enrichment_service-account-enrichment"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 5
      name_id: 37
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "service-account-enrichment"
    }
  }
}
rows {
  prefix {
    id: 7
    value: "http://xmlns.com/foaf/0.1/"
  }
}
rows {
  name {
    value: "Agent"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 7
      name_id: 38
    }
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 5
      name_id: 26
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "POLYGON ((26.521543885417145 39.03722381230471, 26.52744474524991 39.03722381230471, 26.52744474524991 39.04105711064335, 26.521543885417145 39.04105711064335, 26.521543885417145 39.03722381230471))"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 30
    }
    o_literal {
      lex: "26.521543885417145 39.03722381230471, 26.52744474524991 39.03722381230471, 26.52744474524991 39.04105711064335, 26.521543885417145 39.04105711064335, 26.521543885417145 39.03722381230471"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 15
      name_id: 31
    }
  }
}
rows {
  prefix {
    value: "https://w3id.org/ro-id/1332a0b9-94f4-4f2c-a4dc-d52e99e1d61a/"
  }
}
rows {
  prefix {
    value: "http://purl.org/dc/terms/"
  }
}
rows {
  name {
    value: "doi"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 8
      name_id: 2
    }
    p_iri {
      prefix_id: 9
      name_id: 39
    }
    o_literal {
      lex: "https://doi.org/10.24424/cq0k-h769"
    }
  }
}
rows {
  prefix {
    value: "http://purl.org/wf4ever/roevo#"
  }
}
rows {
  name {
    value: "isFinalized"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 10
    }
    o_literal {
      lex: "False"
    }
  }
}
rows {
  name {
    value: "isSnapshotOf"
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "https://w3id.org/ro-id/b34facfa-cea8-48f5-89f6-f11ce00812a9"
    }
  }
}
rows {
  name {
    value: "snapshotedAtTime"
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "2023-03-20 16:23:52.755983+00:00"
    }
  }
}
rows {
  name {
    value: "snapshotedBy"
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "mailto:environmental.ds.book@gmail.com"
    }
  }
}
rows {
  name {
    value: "about"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
    }
    o_iri {
      prefix_id: 14
      name_id: 12
    }
  }
}
rows {
  quad {
    o_iri {
      name_id: 16
    }
  }
}
rows {
  quad {
    o_iri {
    }
  }
}
rows {
  name {
    value: "author"
  }
}
rows {
  prefix {
    value: "mailto:https://orcid.org/"
  }
}
rows {
  name {
    value: "0000-0002-9480-7387"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 45
    }
    o_iri {
      prefix_id: 11
    }
  }
}
rows {
  name {
    value: "0000-0003-0808-3480"
  }
}
rows {
  quad {
    o_iri {
    }
  }
}
rows {
  name {
    value: "contentLocation"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
    }
    o_iri {
      prefix_id: 5
      name_id: 24
    }
  }
}
rows {
  quad {
    o_iri {
      name_id: 33
    }
  }
}
rows {
  quad {
    o_iri {
    }
  }
}
rows {
  quad {
    o_iri {
    }
  }
}
rows {
  name {
    value: "contentSize"
  }
}
rows {
  datatype {
    value: "http://www.w3.org/2001/XMLSchema#integer"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 49
    }
    o_literal {
      lex: "1818450"
      datatype: 1
    }
  }
}
rows {
  name {
    value: "contentUrl"
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "https://api.rohub.org/api/ros/1332a0b9-94f4-4f2c-a4dc-d52e99e1d61a/crate/download/"
    }
  }
}
rows {
  name {
    value: "contributor"
  }
}
rows {
  prefix {
    value: "mailto:https://github.com/"
  }
}
rows {
  name {
    value: "acocac"
  }
}
rows {
  quad {
    p_iri {
    }
    o_iri {
      prefix_id: 12
    }
  }
}
rows {
  name {
    value: "copyrightHolder"
  }
}
rows {
  prefix {
  }
}
rows {
  name {
    value: "mailto:environmental.ds.book@gmail.com"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
    }
    o_iri {
      prefix_id: 13
    }
  }
}
rows {
  name {
    value: "creator"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
    }
  }
}
rows {
  name {
    value: "dateCreated"
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "2022-01-28 16:07:18.008253+00:00"
    }
  }
}
rows {
  name {
    value: "dateModified"
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "2024-03-05 12:17:35.222594+00:00"
    }
  }
}
rows {
  name {
    value: "datePublished"
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "2022-01-28 16:07:18.008253+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 13
    }
    o_literal {
      lex: "The research object refers to the Detecting floating objects using deep learning and Sentinel-2 imagery notebook published in the Environmental Data Science book."
    }
  }
}
rows {
  name {
    value: "encodingFormat"
  }
}
rows {
  quad {
    p_iri {
      name_id: 59
    }
    o_literal {
      lex: "application/ld+json"
    }
  }
}
rows {
  name {
    value: "hasPart"
  }
}
rows {
  prefix {
    id: 1
    value: "https://w3id.org/ro-id/1332a0b9-94f4-4f2c-a4dc-d52e99e1d61a/folders/"
  }
}
rows {
  name {
    value: "4695b103-c3b9-4168-b836-e66f9b08c01d"
  }
}
rows {
  quad {
    p_iri {
    }
    o_iri {
      prefix_id: 1
    }
  }
}
rows {
  name {
    value: "a57ba440-860a-472a-a8f7-596206b13165"
  }
}
rows {
  quad {
    o_iri {
    }
  }
}
rows {
  name {
    value: "b6d0a5af-bea5-45fe-9160-f75847afa153"
  }
}
rows {
  quad {
    o_iri {
    }
  }
}
rows {
  name {
    value: "cb913830-5747-4a6d-acff-83240833d08d"
  }
}
rows {
  quad {
    o_iri {
    }
  }
}
rows {
  prefix {
    id: 3
    value: "https://w3id.org/ro-id/1332a0b9-94f4-4f2c-a4dc-d52e99e1d61a/resources/"
  }
}
rows {
  name {
    value: "d5cbc677-05e5-482d-a591-f08ef03c0e81"
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 3
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 27
    }
    o_literal {
      lex: "https://w3id.org/ro-id/1332a0b9-94f4-4f2c-a4dc-d52e99e1d61a"
    }
  }
}
rows {
  name {
    value: "keywords"
  }
}
rows {
  quad {
    p_iri {
      name_id: 66
    }
    o_literal {
      lex: "Environmental Science"
    }
  }
}
rows {
  name {
    value: "license"
  }
}
rows {
  prefix {
    id: 2
    value: "https://choosealicense.com/no-permission/"
  }
}
rows {
  quad {
    p_iri {
    }
    o_iri {
      prefix_id: 2
      name_id: 2
    }
  }
}
rows {
  name {
    value: "mainEntity"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 68
    }
    o_literal {
      lex: "Jupyter Notebook"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 14
    }
    o_literal {
      lex: "Detecting floating objects using deep learning and Sentinel-2 imagery (Jupyter Notebook) published in the Environmental Data Science book - snapshot"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "Detecting floating objects using deep learning and Sentinel-2 imagery (Jupyter Notebook) published in the Environmental Data Science book"
    }
  }
}
rows {
  name {
    value: "publisher"
  }
}
rows {
  quad {
    p_iri {
      name_id: 69
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  prefix {
    id: 16
    value: "http://w3id.org/ro-id/rohub/model#"
  }
}
rows {
  name {
    value: "community"
  }
}
rows {
  name {
    value: "379a4687-de50-44c7-b7bd-37125ebd4ff7"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 16
      name_id: 70
    }
    o_iri {
      prefix_id: 8
    }
  }
}
rows {
  name {
    value: "creation_mode"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 16
    }
    o_literal {
      lex: "MANUAL"
    }
  }
}
rows {
  prefix {
    id: 4
    value: "http://www.opengis.net/ont/geosparql#"
  }
}
rows {
  name {
    value: "hasGeometry"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 4
    }
    o_literal {
      lex: "https://w3id.org/ro-id/1332a0b9-94f4-4f2c-a4dc-d52e99e1d61a/0edc91a9-9049-4357-bad7-677880c8fd8a"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/1332a0b9-94f4-4f2c-a4dc-d52e99e1d61a/19f9ef3f-8678-48f5-a9ac-cf364939dcda"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/1332a0b9-94f4-4f2c-a4dc-d52e99e1d61a/4b55fad1-092b-4657-a004-aafc05499e18"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/1332a0b9-94f4-4f2c-a4dc-d52e99e1d61a/e2eba045-3c2c-44a1-aa39-06cc232d05f9"
    }
  }
}
rows {
  prefix {
    id: 7
    value: "http://purl.org/wf4ever/ro#"
  }
}
rows {
  name {
    value: "ResearchObject"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 7
      name_id: 74
    }
  }
}
rows {
  name {
    value: "SnapshotRO"
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 10
    }
  }
}
rows {
  name {
    value: "Dataset"
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 15
    }
  }
}
rows {
  prefix {
    id: 9
    value: "http://w3id.org/ro/"
  }
}
rows {
  name {
    value: "earth-scienceExecutableResearchObject"
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 9
    }
  }
}
rows {
  prefix {
    id: 14
    value: "https://w3id.org/ro/terms/earth-science#"
  }
}
rows {
  name {
    value: "ExecutableResearchObject"
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 14
    }
  }
}
rows {
  prefix {
    id: 11
    value: "https://w3id.org/contentdesc#"
  }
}
rows {
  name {
    value: "Domain"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 11
    }
    o_literal {
      lex: "https://w3id.org/ro-id/c3ed4115-e129-474c-b43d-4b7ed1e44411"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 14
      name_id: 23
    }
    o_literal {
      lex: "https://w3id.org/ro-id/108ff0bd-b0de-4305-9927-a88de694b325"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/4503a6f5-792d-422c-8d64-345f3db6b1c1"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/47ced8c1-777f-4ef7-9e76-468147890437"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/5f6ed1ba-6096-43ff-923c-78a2702c01f7"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/65d47f21-d901-4b2b-8974-67e3d88b6749"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/8c57a69d-6767-4445-a8aa-3266b2f44c1f"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/950aac7e-50fa-47dd-82cf-e0c3dee413a9"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/97fbcd8b-261a-4dbd-b34e-7cfa567e0743"
    }
  }
}
rows {
  name {
    value: "FieldOfResearch"
  }
}
rows {
  quad {
    p_iri {
      name_id: 80
    }
    o_literal {
      lex: "https://w3id.org/ro-id/2c0dffab-b0cb-40c3-9cf6-b64738d8af0b"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/978afb41-9d02-423b-b299-501c9b89ad1e"
    }
  }
}
rows {
  name {
    value: "IPTC"
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "https://w3id.org/ro-id/163c83be-2ee7-402b-835c-ca5cc20c43c6"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/2d238204-5886-447d-b3ab-206367ad511c"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/aef07bda-564b-47c2-bc83-71d8d2e38985"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/fa9ab5e5-83fd-4f5f-b4d1-7a4364be87e3"
    }
  }
}
rows {
  name {
    value: "Lemma"
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "https://w3id.org/ro-id/172e5958-b68d-453e-aae8-0755f5d744e2"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/2185b762-02f1-4cdf-b9a3-7a77f9902ce7"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/368a358e-926d-4d70-9b65-d7449b2c7422"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/43fae290-ef3e-4812-993d-406ae623f466"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/831f29a8-3d29-45fd-bf6e-003440d7796c"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/96773044-7502-4b92-bed3-18ce701ee448"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/ec3b493e-c514-45f1-ad86-48c70995b511"
    }
  }
}
rows {
  name {
    value: "NASA"
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "https://w3id.org/ro-id/14df5ee1-7105-4162-9ec2-f8fa8a984a23"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/7b089c66-0928-4619-b9a2-613f513494b5"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 19
    }
    o_literal {
      lex: "https://w3id.org/ro-id/02e3c75c-977e-441a-84d2-e5e2b4fd373e"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/4a888bb5-e439-43d4-a6d3-1c9d15b1ccb4"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/66ce8c04-5a06-4dad-8169-2ae6b2d33b3b"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/69ac3651-313f-423f-9b58-1e2ae9a65cc1"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/80649e48-b201-4e96-8deb-0d65b3807d04"
    }
  }
}
rows {
  name {
    value: "Sentence"
  }
}
rows {
  quad {
    p_iri {
      name_id: 84
    }
    o_literal {
      lex: "https://w3id.org/ro-id/66c9fa6b-a6c6-43fb-8d40-105615be1c7a"
    }
  }
}
rows {
  quad {
    o_literal {
      lex: "https://w3id.org/ro-id/937fa6a4-c8ef-4330-b69d-97a44da87910"
    }
  }
}
rows {
  prefix {
    id: 5
    value: "https://www.w3.org/ns/iana/link-relations/relation#"
  }
}
rows {
  name {
    value: "cite-as"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 5
    }
    o_literal {
      lex: "Raquel Carmo, Jamila Mifdal, and Alejandro Coca-Castro. \"Detecting floating objects using deep learning and Sentinel-2 imagery (Jupyter Notebook) published in the Environmental Data Science book.\" ROHub. Jan 28 ,2022. https://doi.org/10.24424/cq0k-h769."
    }
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 8
      name_id: 71
    }
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 16
      name_id: 70
    }
  }
}
rows {
  name {
    value: "40b7536d-d825-469e-acee-610571cce767"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 1
      name_id: 61
    }
    p_iri {
      prefix_id: 15
      name_id: 60
    }
    o_iri {
      prefix_id: 3
      name_id: 86
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "input"
    }
  }
}
rows {
  prefix {
    id: 12
    value: "http://purl.org/wf4ever/wf4ever#"
  }
}
rows {
  name {
    value: "Folder"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 12
      name_id: 87
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 15
      name_id: 76
    }
  }
}
rows {
  name {
    value: "19979f2d-aea2-4aee-90ff-cb798e83a0a4"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 1
      name_id: 62
    }
    p_iri {
      prefix_id: 15
      name_id: 60
    }
    o_iri {
      prefix_id: 3
      name_id: 88
    }
  }
}
rows {
  name {
    value: "3a0fb131-7ab6-4e09-88f9-f4a13ade3b62"
  }
}
rows {
  quad {
    o_iri {
    }
  }
}
rows {
  name {
    value: "59040258-cb01-4226-a29d-22e966583f82"
  }
}
rows {
  quad {
    o_iri {
    }
  }
}
rows {
  name {
    value: "76e24bca-c1b1-4198-b7fd-62f1ce7b2276"
  }
}
rows {
  quad {
    o_iri {
    }
  }
}
rows {
  name {
    value: "b74d8bd6-0903-49a9-b18e-41f35ce0ea46"
  }
}
rows {
  quad {
    o_iri {
    }
  }
}
rows {
  name {
    value: "cf66ee21-884c-4b1e-934d-f67dc0ee8947"
  }
}
rows {
  quad {
    o_iri {
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "tool"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 12
      name_id: 87
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 15
      name_id: 76
    }
  }
}
rows {
  name {
    value: "1bbee21e-677a-4e43-a2f1-11ba5842dacf"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 1
      name_id: 63
    }
    p_iri {
      prefix_id: 15
      name_id: 60
    }
    o_iri {
      prefix_id: 3
      name_id: 94
    }
  }
}
rows {
  name {
    value: "edbbcddb-8e80-4cc8-96bd-30ed44319dcf"
  }
}
rows {
  quad {
    o_iri {
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "biblio"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 12
      name_id: 87
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 15
      name_id: 76
    }
  }
}
rows {
  name {
    value: "d0f4fb6b-6e29-4f19-b840-f3dd4d36fad1"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 1
      name_id: 64
    }
    p_iri {
      prefix_id: 15
      name_id: 60
    }
    o_iri {
      prefix_id: 3
      name_id: 96
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "output"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 12
      name_id: 87
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 15
      name_id: 76
    }
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 3
      name_id: 88
    }
    p_iri {
      prefix_id: 15
      name_id: 45
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 50
    }
    o_literal {
      lex: "https://github.com/eds-book-gallery/b34facfa-cea8-48f5-89f6-f11ce00812a9/blob/main/.lock/conda-osx-64.lock"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 55
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 56
    }
    o_literal {
      lex: "2022-01-31 11:16:56.332731+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "2023-03-20 16:23:45.561179+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 13
    }
    o_literal {
      lex: "Lock conda file for osx-64 OS of the Jupyter Book hosted by the Environmental Data Science Book"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 67
    }
    o_iri {
      prefix_id: 2
      name_id: 2
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "Lock conda file for osx-64"
    }
  }
}
rows {
  name {
    value: "sdDatePublished"
  }
}
rows {
  quad {
    p_iri {
      name_id: 97
    }
    o_literal {
      lex: "2022-01-31 11:16:56.332731+00:00"
    }
  }
}
rows {
  name {
    value: "Resource"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 12
      name_id: 98
    }
  }
}
rows {
  name {
    value: "MediaObject"
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 15
    }
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 3
      name_id: 94
    }
    p_iri {
      prefix_id: 15
      name_id: 45
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 50
    }
    o_literal {
      lex: "https://doi.org/10.5194/isprs-annals-V-3-2021-285-2021"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 55
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 56
    }
    o_literal {
      lex: "2022-01-28 16:07:43.339740+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "2023-03-20 16:23:47.348408+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 13
    }
    o_literal {
      lex: "Publication with further details of the modelling published in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 67
    }
    o_iri {
      prefix_id: 2
      name_id: 2
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "Towards detecting floating objects on a global scale with learned spatial features using sentinel 2"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 97
    }
    o_literal {
      lex: "2022-01-28 16:07:43.339740+00:00"
    }
  }
}
rows {
  prefix {
    id: 4
    value: "http://purl.org/dc/terms/"
  }
}
rows {
  name {
    value: "BibliographicResource"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 4
      name_id: 100
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 12
      name_id: 98
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 15
    }
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 3
      name_id: 89
    }
    p_iri {
      prefix_id: 15
      name_id: 45
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 50
    }
    o_literal {
      lex: "https://github.com/eds-book-gallery/b34facfa-cea8-48f5-89f6-f11ce00812a9/blob/main/.lock/requirements.txt"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 55
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 56
    }
    o_literal {
      lex: "2022-01-31 11:27:45.283002+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "2023-03-20 16:23:45.892002+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 13
    }
    o_literal {
      lex: "Pip requirements file containing libraries to install after conda lock"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 59
    }
    o_literal {
      lex: "text/plain"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 67
    }
    o_iri {
      prefix_id: 2
      name_id: 2
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "Pip requirements for lock conda environments"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 97
    }
    o_literal {
      lex: "2022-01-31 11:27:45.283002+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 12
      name_id: 98
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 15
    }
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 3
      name_id: 86
    }
    p_iri {
      prefix_id: 15
      name_id: 45
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 50
    }
    o_literal {
      lex: "https://doi.org/10.5281/zenodo.5827376"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 55
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 56
    }
    o_literal {
      lex: "2022-01-28 16:07:34.662177+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "2023-03-20 16:23:45.435827+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 13
    }
    o_literal {
      lex: "Contains input analysis-ready input images used in the Jupyter notebook of Detecting floating objects using deep learning and Sentinel-2 imagery"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 67
    }
    o_iri {
      prefix_id: 2
      name_id: 2
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "Input images"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 97
    }
    o_literal {
      lex: "2022-01-28 16:07:34.662177+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 12
      name_id: 76
    }
  }
}
rows {
  quad {
    o_iri {
      name_id: 98
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 15
    }
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 3
      name_id: 90
    }
    p_iri {
      prefix_id: 15
      name_id: 45
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 50
    }
    o_literal {
      lex: "https://edsbook.org/gallery/b34facfa-cea8-48f5-89f6-f11ce00812a9/notebook.html"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 55
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 56
    }
    o_literal {
      lex: "2022-01-31 11:16:52.095424+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "2023-03-20 16:23:52.081520+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 13
    }
    o_literal {
      lex: "Rendered version of the Jupyter Notebook hosted by the Environmental Data Science Book"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 59
    }
    o_literal {
      lex: "text/html"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 67
    }
    o_iri {
      prefix_id: 2
      name_id: 2
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "Online rendered version of the Jupyter notebook"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 97
    }
    o_literal {
      lex: "2022-01-31 11:16:52.095424+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 12
      name_id: 98
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 15
    }
  }
}
rows {
  name {
    value: "publication"
  }
}
rows {
  quad {
    o_iri {
      name_id: 101
    }
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 3
      name_id: 91
    }
    p_iri {
      prefix_id: 15
      name_id: 45
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 50
    }
    o_literal {
      lex: "https://raw.githubusercontent.com/eds-book-gallery/b34facfa-cea8-48f5-89f6-f11ce00812a9/main/.binder/environment.yml"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 55
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 56
    }
    o_literal {
      lex: "2022-01-31 11:32:03.379546+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "2023-03-20 16:23:48.262597+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 13
    }
    o_literal {
      lex: "Conda environment when user want to have the same libraries installed without concerns of package versions"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 67
    }
    o_iri {
      prefix_id: 2
      name_id: 2
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "Conda environment"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 97
    }
    o_literal {
      lex: "2022-01-31 11:32:03.379546+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 12
      name_id: 98
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 15
    }
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 3
      name_id: 92
    }
    p_iri {
      prefix_id: 15
      name_id: 45
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 50
    }
    o_literal {
      lex: "https://github.com/eds-book-gallery/b34facfa-cea8-48f5-89f6-f11ce00812a9/blob/main/.lock/conda-linux-64.lock"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 55
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 56
    }
    o_literal {
      lex: "2022-01-31 11:16:54.901085+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "2023-03-20 16:23:48.148379+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 13
    }
    o_literal {
      lex: "Lock conda file for linux-64 OS of the Jupyter Book hosted by the Environmental Data Science Book"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 67
    }
    o_iri {
      prefix_id: 2
      name_id: 2
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "Lock conda file for linux-64"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 97
    }
    o_literal {
      lex: "2022-01-31 11:16:54.901085+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 12
      name_id: 98
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 15
    }
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 3
      name_id: 93
    }
    p_iri {
      prefix_id: 15
      name_id: 45
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 50
    }
    o_literal {
      lex: "https://raw.githubusercontent.com/eds-book-gallery/b34facfa-cea8-48f5-89f6-f11ce00812a9/main/notebook.ipynb"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 55
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 56
    }
    o_literal {
      lex: "2022-01-28 16:07:32.857476+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "2023-03-20 16:23:47.437056+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 13
    }
    o_literal {
      lex: "Jupyter Notebook hosted by the Environmental Data Science Book"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 67
    }
    o_iri {
      prefix_id: 2
      name_id: 2
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "Jupyter notebook"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 97
    }
    o_literal {
      lex: "2022-01-28 16:07:32.857476+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 12
      name_id: 98
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 15
    }
  }
}
rows {
  name {
    value: "earth-scienceJupyterNotebook"
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 9
      name_id: 102
    }
  }
}
rows {
  prefix {
    id: 7
    value: "https://schema.org/"
  }
}
rows {
  name {
    value: "softwareRequirements"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 7
    }
    o_literal {
      lex: "https://w3id.org/ro-id/1332a0b9-94f4-4f2c-a4dc-d52e99e1d61a/resources/83b2492d-b4bb-4f8c-acc9-775e288a971c"
    }
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 3
      name_id: 96
    }
    p_iri {
      prefix_id: 15
      name_id: 45
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 50
    }
    o_literal {
      lex: "https://doi.org/10.5281/zenodo.5911143"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 55
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 56
    }
    o_literal {
      lex: "2022-01-28 16:07:38.160206+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "2023-03-20 16:23:52.658455+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 13
    }
    o_literal {
      lex: "Contains outputs, (predictions and interactive figure), generated in the Jupyter notebook of Detecting floating objects using deep learning and Sentinel-2 imagery"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 67
    }
    o_iri {
      prefix_id: 2
      name_id: 2
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "Outputs"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 97
    }
    o_literal {
      lex: "2022-01-28 16:07:38.160206+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 12
      name_id: 76
    }
  }
}
rows {
  quad {
    o_iri {
      name_id: 98
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 15
    }
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 3
      name_id: 65
    }
    p_iri {
      prefix_id: 15
      name_id: 45
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 49
    }
    o_literal {
      lex: "1799691"
      datatype: 1
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "https://api.rohub.org/api/resources/d5cbc677-05e5-482d-a591-f08ef03c0e81/download/"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 55
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 56
    }
    o_literal {
      lex: "2023-03-05 21:59:06.519381+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "2023-03-20 16:23:46.790872+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 59
    }
    o_literal {
      lex: "image/png"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 67
    }
    o_iri {
      prefix_id: 2
      name_id: 2
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "sketch_680px.png"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 97
    }
    o_literal {
      lex: "2023-03-05 21:59:06.519381+00:00"
    }
  }
}
rows {
  prefix {
    id: 10
    value: "http://purl.org/wf4ever/roterms#"
  }
}
rows {
  name {
    value: "Sketch"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 10
      name_id: 104
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 12
      name_id: 98
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 15
    }
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 3
      name_id: 95
    }
    p_iri {
      prefix_id: 15
      name_id: 45
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 50
    }
    o_literal {
      lex: "https://210507-004.oceansvirtual.com/view/content/skdwP611e3583eba2b/ecf65c2aaf278557ad05c213247d67a54196c9376a0aed8f1875681f182daeed"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 55
    }
    o_iri {
      prefix_id: 13
      name_id: 54
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 56
    }
    o_literal {
      lex: "2022-01-28 16:07:40.875698+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "2023-03-20 16:23:52.401518+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 13
    }
    o_literal {
      lex: "Related publication of the modelling published in OCEANS 2021"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 67
    }
    o_iri {
      prefix_id: 2
      name_id: 2
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "Detecting macro floating objects on coastal water bodies using sentinel-2 data"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 97
    }
    o_literal {
      lex: "2022-01-28 16:07:40.875698+00:00"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 4
      name_id: 100
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 12
      name_id: 98
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 15
    }
  }
}
rows {
  name {
    value: "ro-crate-metadata.json"
  }
}
rows {
  name {
    value: "conformsTo"
  }
}
rows {
  prefix {
    value: "https://w3id.org/ro/crate/"
  }
}
rows {
  name {
    value: "1.1"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 8
      name_id: 105
    }
    p_iri {
      prefix_id: 4
    }
    o_iri {
      prefix_id: 11
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 15
      name_id: 44
    }
    o_iri {
      prefix_id: 8
      name_id: 2
    }
  }
}
rows {
  name {
    value: "CreativeWork"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 15
      name_id: 108
    }
  }
}
rows {
  prefix {
    id: 14
    value: "https://w3id.org/ro-id/"
  }
}
rows {
  name {
    value: "14df5ee1-7105-4162-9ec2-f8fa8a984a23"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "communications and radar"
    }
  }
}
rows {
  prefix {
    id: 5
    value: "https://w3id.org/ro/terms/earth-science#"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 83
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "100.0"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "0.5148147940635681"
    }
  }
}
rows {
  name {
    value: "163c83be-2ee7-402b-835c-ca5cc20c43c6"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 110
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "Literature"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 81
    }
  }
}
rows {
  name {
    value: "path"
  }
}
rows {
  quad {
    p_iri {
      name_id: 111
    }
    o_literal {
      lex: "Arts, culture and entertainment/Arts and entertainment/Literature"
    }
  }
}
rows {
  name {
    value: "172e5958-b68d-453e-aae8-0755f5d744e2"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "object"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 82
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "11.76470588235294"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "9.4"
    }
  }
}
rows {
  name {
    value: "2185b762-02f1-4cdf-b9a3-7a77f9902ce7"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 113
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "Environmental Data Science"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 82
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "16.02002503128911"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "12.8"
    }
  }
}
rows {
  name {
    value: "2c0dffab-b0cb-40c3-9cf6-b64738d8af0b"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 114
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "geology"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 80
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "100.0"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "0.5625630021095276"
    }
  }
}
rows {
  name {
    value: "2d238204-5886-447d-b3ab-206367ad511c"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 115
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "Language"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 81
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 111
    }
    o_literal {
      lex: "Arts, culture and entertainment/Culture/Language"
    }
  }
}
rows {
  name {
    value: "368a358e-926d-4d70-9b65-d7449b2c7422"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 116
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "imagery"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 82
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "13.642052565707132"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "10.9"
    }
  }
}
rows {
  name {
    value: "43fae290-ef3e-4812-993d-406ae623f466"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 117
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "notebook"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 82
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "12.891113892365455"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "10.3"
    }
  }
}
rows {
  name {
    value: "4503a6f5-792d-422c-8d64-345f3db6b1c1"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 118
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "book"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 23
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "14.147018030513175"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "10.2"
    }
  }
}
rows {
  name {
    value: "47ced8c1-777f-4ef7-9e76-468147890437"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 119
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "object"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 23
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "9.431345353675452"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "6.8"
    }
  }
}
rows {
  name {
    value: "4a888bb5-e439-43d4-a6d3-1c9d15b1ccb4"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 120
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "research object"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 19
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "34.28280773143439"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "33.7"
    }
  }
}
rows {
  name {
    value: "5f6ed1ba-6096-43ff-923c-78a2702c01f7"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 121
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "learning"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 23
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "10.540915395284328"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "7.6"
    }
  }
}
rows {
  name {
    value: "65d47f21-d901-4b2b-8974-67e3d88b6749"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 122
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "detection"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 23
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "15.395284327323164"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "11.1"
    }
  }
}
rows {
  name {
    value: "66c9fa6b-a6c6-43fb-8d40-105615be1c7a"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 123
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "Detecting floating objects using deep learning and Sentinel-2 imagery (Jupyter Notebook) published in the Environmental Data Science book."
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 84
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "43.54354354354354"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "43.5"
    }
  }
}
rows {
  name {
    value: "66ce8c04-5a06-4dad-8169-2ae6b2d33b3b"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 124
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "Environmental Data Science book"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 19
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "15.259409969481181"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "15.0"
    }
  }
}
rows {
  name {
    value: "69ac3651-313f-423f-9b58-1e2ae9a65cc1"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 125
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "deep learning"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 19
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "5.391658189216684"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "5.3"
    }
  }
}
rows {
  name {
    value: "7b089c66-0928-4619-b9a2-613f513494b5"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 126
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "engineering"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 83
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "100.0"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "0.5148147940635681"
    }
  }
}
rows {
  name {
    value: "80649e48-b201-4e96-8deb-0d65b3807d04"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 127
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "refer to the detecting"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 19
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "1.7293997965412005"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "1.7"
    }
  }
}
rows {
  name {
    value: "831f29a8-3d29-45fd-bf6e-003440d7796c"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 128
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "research"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 82
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "12.891113892365455"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "10.3"
    }
  }
}
rows {
  name {
    id: 1
    value: "8c57a69d-6767-4445-a8aa-3266b2f44c1f"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 1
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "imagery"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 23
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "13.730929264909848"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "9.9"
    }
  }
}
rows {
  name {
    id: 3
    value: "937fa6a4-c8ef-4330-b69d-97a44da87910"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 3
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "The research object refers to the Detecting floating objects using deep learning and Sentinel-2 imagery notebook published in the Environmental Data Science book."
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 84
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "56.45645645645645"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "56.4"
    }
  }
}
rows {
  name {
    id: 5
    value: "950aac7e-50fa-47dd-82cf-e0c3dee413a9"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 5
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "research"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 23
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "12.621359223300972"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "9.1"
    }
  }
}
rows {
  name {
    value: "96773044-7502-4b92-bed3-18ce701ee448"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 6
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "detecting"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 82
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "15.269086357947433"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "12.2"
    }
  }
}
rows {
  name {
    value: "978afb41-9d02-423b-b299-501c9b89ad1e"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 7
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "earth sciences"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 80
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "100.0"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "0.5625630021095276"
    }
  }
}
rows {
  name {
    value: "97fbcd8b-261a-4dbd-b34e-7cfa567e0743"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 8
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "notebook"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 23
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "12.621359223300972"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "9.1"
    }
  }
}
rows {
  name {
    value: "aef07bda-564b-47c2-bc83-71d8d2e38985"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 9
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "Book industry"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 81
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 111
    }
    o_literal {
      lex: "Economy, business and finance/Economic sector/Media/Book industry"
    }
  }
}
rows {
  prefix {
    id: 16
    value: "https://w3id.org/ro-id/b34facfa-cea8-48f5-89f6-f11ce00812a/"
  }
}
rows {
  name {
    id: 11
    value: "0edc91a9-9049-4357-bad7-677880c8fd8a"
  }
}
rows {
  prefix {
    id: 1
    value: "http://www.opengis.net/ont/geosparql#"
  }
}
rows {
  name {
    id: 4
    value: "asWKT"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 16
      name_id: 11
    }
    p_iri {
      prefix_id: 1
      name_id: 4
    }
    o_literal {
      lex: "POLYGON ((26.521543885417145 39.03722381230471, 26.52744474524991 39.03722381230471, 26.52744474524991 39.04105711064335, 26.521543885417145 39.04105711064335, 26.521543885417145 39.03722381230471))"
    }
  }
}
rows {
  name {
    id: 15
    value: "Geometry"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 1
      name_id: 15
    }
  }
}
rows {
  prefix {
    id: 9
    value: "http://www.opengis.net/ont/sf#"
  }
}
rows {
  name {
    id: 18
    value: "Polygon"
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 9
      name_id: 18
    }
  }
}
rows {
  name {
    id: 22
    value: "19f9ef3f-8678-48f5-a9ac-cf364939dcda"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 16
      name_id: 22
    }
    p_iri {
      prefix_id: 1
      name_id: 4
    }
    o_literal {
      lex: "POLYGON ((-43.2315509040757 -22.80675019122663, -43.02418396071632 -22.80675019122663, -43.02418396071632 -22.678831998280632, -43.2315509040757 -22.678831998280632, -43.2315509040757 -22.80675019122663))"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 1
      name_id: 15
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 9
      name_id: 18
    }
  }
}
rows {
  name {
    id: 29
    value: "4b55fad1-092b-4657-a004-aafc05499e18"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 16
      name_id: 29
    }
    p_iri {
      prefix_id: 1
      name_id: 4
    }
    o_literal {
      lex: "POLYGON ((-86.82548387 20.977342054, -86.751891297 20.977342054, -86.751891297 21.033273193, -86.82548387 21.033273193, -86.82548387 20.977342054))"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 1
      name_id: 15
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 9
      name_id: 18
    }
  }
}
rows {
  name {
    id: 32
    value: "e2eba045-3c2c-44a1-aa39-06cc232d05f9"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 16
      name_id: 32
    }
    p_iri {
      prefix_id: 1
      name_id: 4
    }
    o_literal {
      lex: "POLYGON ((119.12620106576212 39.27393119797617, 119.19563809273966 39.27393119797617, 119.19563809273966 39.30980175207518, 119.12620106576212 39.30980175207518, 119.12620106576212 39.27393119797617))"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 1
      name_id: 15
    }
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 9
      name_id: 18
    }
  }
}
rows {
  name {
    id: 25
    value: "b34facfa-cea8-48f5-89f6-f11ce00812a9"
  }
}
rows {
  prefix {
    id: 7
    value: "http://purl.org/wf4ever/ro#"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 25
    }
    o_iri {
      prefix_id: 7
      name_id: 74
    }
  }
}
rows {
  name {
    id: 28
    value: "c3ed4115-e129-474c-b43d-4b7ed1e44411"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 28
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "publishing"
    }
  }
}
rows {
  prefix {
    id: 10
    value: "https://w3id.org/contentdesc#"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 10
      name_id: 79
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 5
      name_id: 20
    }
    o_literal {
      lex: "100.0"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "4.8"
    }
  }
}
rows {
  name {
    id: 36
    value: "ec3b493e-c514-45f1-ad86-48c70995b511"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 36
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "Sentinel-2"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 82
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 20
    }
    o_literal {
      lex: "17.521902377972463"
    }
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "14.0"
    }
  }
}
rows {
  name {
    value: "fa9ab5e5-83fd-4f5f-b4d1-7a4364be87e3"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 14
      name_id: 37
    }
    p_iri {
      prefix_id: 15
      name_id: 14
    }
    o_literal {
      lex: "Education"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 5
      name_id: 81
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 111
    }
    o_literal {
      lex: "Education"
    }
  }
}
rows {
  name {
    value: "email"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 13
      name_id: 54
    }
    p_iri {
      prefix_id: 15
      name_id: 38
    }
    o_literal {
      lex: "environmental.ds.book@gmail.com"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 14
    }
    o_literal {
      lex: "Environmental Data Science Book Community"
    }
  }
}
rows {
  name {
    id: 26
    value: "Person"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 15
      name_id: 26
    }
  }
}
rows {
  prefix {
    id: 3
    value: "http://xmlns.com/foaf/0.1/"
  }
}
rows {
  name {
    id: 30
    value: "Agent"
  }
}
rows {
  quad {
    o_iri {
      prefix_id: 3
      name_id: 30
    }
  }
}
rows {
  prefix {
    id: 2
    value: "mailto:https://github.com/"
  }
}
rows {
  name {
    value: "affiliation"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 2
      name_id: 52
    }
    p_iri {
      prefix_id: 15
      name_id: 31
    }
    o_literal {
      lex: "The Alan Turing Institute"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 14
    }
    o_literal {
      lex: "Alejandro Coca-Castro"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 3
      name_id: 30
    }
  }
}
rows {
  prefix {
    id: 12
    value: "mailto:https://orcid.org/"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 12
      name_id: 46
    }
    p_iri {
      prefix_id: 15
      name_id: 31
    }
    o_literal {
      lex: "European Space Agency \316\246-lab"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 14
    }
    o_literal {
      lex: "Jamila Mifdal"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 3
      name_id: 30
    }
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 12
      name_id: 47
    }
    p_iri {
      prefix_id: 15
      name_id: 31
    }
    o_literal {
      lex: "European Space Agency \316\246-lab"
    }
  }
}
rows {
  quad {
    p_iri {
      name_id: 14
    }
    o_literal {
      lex: "Raquel Carmo"
    }
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 3
      name_id: 30
    }
  }
}
rows {
  prefix {
    id: 4
    value: "https://w3id.org/np/RAO3Siv0rUDabjaUTr6NKjXY4s35CjPCK-WzZgr_N3UMM/"
  }
}
rows {
  name {
    id: 39
    value: "assertion"
  }
}
rows {
  prefix {
    id: 11
    value: "http://www.w3.org/ns/prov#"
  }
}
rows {
  name {
    value: "wasDerivedFrom"
  }
}
rows {
  prefix {
    id: 8
    value: "https://api.rohub.org/api/ros/1332a0b9-94f4-4f2c-a4dc-d52e99e1d61a/crate/download/"
  }
}
rows {
  name {
    value: "provenance"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 4
      name_id: 39
    }
    p_iri {
      prefix_id: 11
    }
    o_iri {
      prefix_id: 8
      name_id: 105
    }
    g_iri {
      prefix_id: 4
      name_id: 41
    }
  }
}
rows {
  prefix {
    id: 16
    value: "https://w3id.org/np/"
  }
}
rows {
  name {
    value: "RAO3Siv0rUDabjaUTr6NKjXY4s35CjPCK-WzZgr_N3UMM"
  }
}
rows {
  prefix {
    id: 1
    value: "http://purl.org/dc/terms/"
  }
}
rows {
  name {
    value: "created"
  }
}
rows {
  datatype {
    value: "http://www.w3.org/2001/XMLSchema#dateTime"
  }
}
rows {
  name {
    id: 12
    value: "pubinfo"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 16
    }
    p_iri {
      prefix_id: 1
    }
    o_literal {
      lex: "2025-11-11T16:12:36.517+01:00"
      datatype: 2
    }
    g_iri {
      prefix_id: 4
      name_id: 12
    }
  }
}
rows {
  prefix {
    id: 9
    value: "http://purl.org/nanopub/x/"
  }
}
rows {
  name {
    id: 16
    value: "introduces"
  }
}
rows {
  prefix {
    id: 7
    value: "https://w3id.org/ro-id/1332a0b9-94f4-4f2c-a4dc-d52e99e1d61a/"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 9
      name_id: 16
    }
    o_iri {
      prefix_id: 7
      name_id: 2
    }
  }
}
rows {
  name {
    value: "RoCrateNanopub"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 6
      name_id: 10
    }
    o_iri {
      prefix_id: 9
      name_id: 17
    }
  }
}
rows {
  prefix {
    id: 10
    value: "http://www.w3.org/2000/01/rdf-schema#"
  }
}
rows {
  name {
    id: 48
    value: "label"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 10
      name_id: 48
    }
    o_literal {
      lex: "Detecting floating objects using deep learning and Sentinel-2 imagery (Jupyter Notebook) published in the Environmental Data Science book - snapshot"
    }
  }
}
rows {
  name {
    id: 24
    value: "sig"
  }
}
rows {
  name {
    id: 33
    value: "hasAlgorithm"
  }
}
rows {
  quad {
    s_iri {
      prefix_id: 4
      name_id: 24
    }
    p_iri {
      prefix_id: 9
      name_id: 33
    }
    o_literal {
      lex: "RSA"
    }
  }
}
rows {
  name {
    value: "hasPublicKey"
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEA4pPaESKwmC6l37P86K6TNLq6yeQtc7m9CvcqauLs/1FC0viHvQnFBgxj0a+loPDv/Egwe6OqFpa0iW9Ypnyz9YPoh+pxbRXonbuMOb+8Ry9hXZ+TEKfWjhjVDGEaClwfRwglh2HI/xfV4CD9AgvDOEoZQiyta8a90PYwJ3G6e70oCHTn61+OWTkI9KRYHOYgg3btdy2Z7q/30PTFawb2ZT5aIfIJYobUYv2a7yhtcqWCHZeKv0bxGnRjTFNx1rscBMlLJSzvRtpQc1cCRVEPFZHo1adaXCI9tGvn4cxeNQ96y8dxkN1XhpaJairde+23MDzf42Oe97KG2HYzKiyVnQIDAQAB"
    }
  }
}
rows {
  name {
    value: "hasSignature"
  }
}
rows {
  quad {
    p_iri {
    }
    o_literal {
      lex: "P8TqUNe84xp0cJVC4TAty3iDMu0oMBUxu0DPYC+35SJV27efxfLSPPtTIlJYRFzLfcM8pwAFP/IdnTi3y/j9knFM/RtKfaII4hw9gg0fXXwdB2N1sJqGPBepug3M8spIzlxWtKTgqnsJoGaqeLLxykrOfdy13xkMM00ovqH2uxsPOSknVXHx4nvRggx3T3jg41mVc2wzj8PbxWnNweM9vKV6+gwsIiFM8xMniFSzsBhGswAG6t5SkNHynixdOmepzaiTzAN09jdAyFjI8DMT+UelTnj0slv4BrB1EF1a/erV/AM95GmPPycxoGB3OTDCkjYbiw99rk0XWvNQnLjmjg=="
    }
  }
}
rows {
  name {
    id: 51
    value: "hasSignatureTarget"
  }
}
rows {
  quad {
    p_iri {
      name_id: 51
    }
    o_iri {
      prefix_id: 16
      name_id: 42
    }
  }
}
rows {
  name {
    id: 53
    value: "signedBy"
  }
}
rows {
  prefix {
    id: 14
    value: "https://w3id.org/kpxl/gen/terms/"
  }
}
rows {
  name {
    id: 58
    value: "RoCrateBot"
  }
}
rows {
  quad {
    p_iri {
      prefix_id: 9
      name_id: 53
    }
    o_iri {
      prefix_id: 14
      name_id: 58
    }
  }
}