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rows { quad { o_literal { lex: "https://w3id.org/ro-id/b5b52b94-37d6-4d22-99d4-1dec3697ff6a" } } } rows { quad { p_iri { name_id: 59 } o_literal { lex: "https://w3id.org/ro-id/445f93f5-696a-45b4-b4ef-50f92f281e76" } } } rows { quad { o_literal { lex: "https://w3id.org/ro-id/72353d4c-9bbd-43e5-b50c-bcef51808f21" } } } rows { quad { o_literal { lex: "https://w3id.org/ro-id/90e57661-a16d-4cca-8526-b10db8bee0f3" } } } rows { quad { o_literal { lex: "https://w3id.org/ro-id/b3bf5a24-a683-4434-8316-ccfb14abaa07" } } } rows { quad { o_literal { lex: "https://w3id.org/ro-id/f285513c-6ff9-412d-89a1-2f1e1d5d92ec" } } } rows { quad { o_literal { lex: "https://w3id.org/ro-id/f8b6080d-474d-4d7f-9e22-7a70d0df9899" } } } rows { prefix { id: 2 value: "https://www.w3.org/ns/iana/link-relations/relation#" } } rows { name { value: "cite-as" } } rows { quad { p_iri { prefix_id: 2 name_id: 115 } o_literal { lex: "CNR-ISMAR, and Generation Service. \"Restoration of Missing Time-Series Data via Multiple Sine Functions Decomposition with Guangzhou-Temperature Application.\" ROHub. Jun 20 ,2018. https://w3id.org/ro-id/aa087e78-5027-4635-b915-f394d0c1e656." } } } rows { prefix { id: 16 value: "https://w3id.org/ro-id/aa087e78-5027-4635-b915-f394d0c1e656/" } } rows { name { value: "ro-crate-metadata.json" } } rows { prefix { id: 8 value: "http://purl.org/dc/terms/" } } rows { name { value: "conformsTo" } } rows { prefix { id: 5 value: "https://w3id.org/ro/crate/" } } rows { name { value: "1.1" } } rows { quad { s_iri { prefix_id: 16 } p_iri { prefix_id: 8 } o_iri { prefix_id: 5 } } } rows { quad { p_iri { prefix_id: 15 name_id: 95 } o_iri { prefix_id: 16 name_id: 2 } } } rows { name { value: "CreativeWork" } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 15 name_id: 119 } } } rows { prefix { id: 7 value: "https://w3id.org/ro-id/" } } rows { name { value: "b3bf5a24-a683-4434-8316-ccfb14abaa07" } } rows { quad { s_iri { prefix_id: 7 } p_iri { prefix_id: 15 name_id: 14 } o_literal { lex: "The restoration of missing data is an important concern for data analysis." } } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 3 name_id: 59 } } } rows { quad { p_iri { name_id: 38 } o_literal { lex: "11.73044925124792" } } } rows { quad { p_iri { } o_literal { lex: "14.1" } } } rows { name { value: "b5a1390f-526b-4a5d-9554-36bdd270d04a" } } rows { quad { s_iri { prefix_id: 7 name_id: 121 } p_iri { prefix_id: 15 name_id: 14 } o_literal { lex: "computer operations and hardware" } } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 3 name_id: 78 } } } rows { quad { p_iri { name_id: 38 } o_literal { lex: "50.0" } } } rows { quad { p_iri { } o_literal { lex: "0.6513797640800476" } } } rows { name { value: "b5b52b94-37d6-4d22-99d4-1dec3697ff6a" } } rows { quad { s_iri { prefix_id: 7 name_id: 122 } p_iri { prefix_id: 15 name_id: 14 } o_literal { lex: "innovative model" } } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 3 name_id: 42 } } } rows { quad { p_iri { name_id: 38 } o_literal { lex: "5.9466019417475735" } } } rows { quad { p_iri { } o_literal { lex: "4.9" } } } rows { name { value: "be839ed2-0b03-4bc5-b73e-cf891b85d1fa" } } rows { quad { s_iri { prefix_id: 7 name_id: 123 } p_iri { prefix_id: 15 name_id: 14 } o_literal { lex: "chemical analysis" } } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 3 name_id: 32 } } } rows { quad { p_iri { name_id: 38 } o_literal { lex: "2.314499659632403" } } } rows { quad { p_iri { } o_literal { lex: "3.4" } } } rows { name { value: "bee4f713-e65c-452b-9548-717637996e7f" } } rows { quad { s_iri { prefix_id: 7 name_id: 124 } p_iri { prefix_id: 15 name_id: 14 } o_literal { lex: "qualitative analysis" } } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 3 name_id: 37 } } } rows { quad { p_iri { } o_literal { lex: "6.506238859180035" } } } rows { quad { p_iri { } o_literal { lex: "7.3" } } } rows { name { value: "c206df18-feab-4564-94cf-9f217bc83152" } } rows { quad { s_iri { prefix_id: 7 name_id: 125 } p_iri { prefix_id: 15 name_id: 14 } o_literal { lex: "Canton" } } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 4 name_id: 34 } } } rows { quad { p_iri { prefix_id: 3 name_id: 63 } o_literal { lex: "https://www.wikidata.org/wiki/Q16572" } } } rows { name { value: "c9b1d0d8-4cdc-49ba-b7f6-a53d85879cca" } } rows { quad { s_iri { prefix_id: 7 name_id: 126 } p_iri { prefix_id: 15 name_id: 14 } o_literal { lex: "multiple sine function decomposition" } } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 3 name_id: 37 } } } rows { quad { p_iri { } o_literal { lex: "7.575757575757575" } } } rows { quad { p_iri { } o_literal { lex: "8.5" } } } rows { name { value: "d3b2902b-a6ea-436b-a142-95f5d12a14d4" } } rows { quad { s_iri { prefix_id: 7 name_id: 127 } p_iri { prefix_id: 15 name_id: 14 } o_literal { lex: "information" } } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 3 name_id: 32 } } } rows { quad { p_iri { name_id: 38 } o_literal { lex: "5.990469707283867" } } } rows { quad { p_iri { } o_literal { lex: "8.8" } } } rows { name { value: "d3d22a5d-ddcc-4354-8f2c-978526d34eed" } } rows { quad { s_iri { prefix_id: 7 name_id: 128 } p_iri { prefix_id: 15 name_id: 14 } o_literal { lex: "data analysis" } } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 3 name_id: 32 } } } rows { quad { p_iri { name_id: 38 } o_literal { lex: "4.560925799863853" } } } rows { quad { p_iri { } o_literal { lex: "6.7" } } } rows { name { id: 1 value: "d60f485b-1020-4bfa-8a2f-614b9dcb92ba" } } rows { quad { s_iri { prefix_id: 7 name_id: 1 } p_iri { prefix_id: 15 name_id: 14 } o_literal { lex: "Canton" } } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 3 name_id: 37 } } } rows { quad { p_iri { } o_literal { lex: "5.436720142602495" } } } rows { quad { p_iri { } o_literal { lex: "6.1" } } } rows { name { id: 3 value: "e5d6744c-5e69-40a0-abd7-5b748e205cb3" } } 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32 } } } rows { quad { p_iri { name_id: 38 } o_literal { lex: "4.084411164057181" } } } rows { quad { p_iri { } o_literal { lex: "6.0" } } } rows { name { value: "ec0bcafd-ab16-41e6-8b70-3e460212b8e4" } } rows { quad { s_iri { prefix_id: 7 name_id: 7 } p_iri { prefix_id: 15 name_id: 14 } o_literal { lex: "computer science" } } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 4 name_id: 29 } } } rows { quad { p_iri { prefix_id: 3 name_id: 38 } o_literal { lex: "44.545454545454554" } } } rows { quad { p_iri { } o_literal { lex: "9.8" } } } rows { name { value: "ee62d5ac-df71-4ab9-a7da-b860a6f3209d" } } rows { quad { s_iri { prefix_id: 7 name_id: 8 } p_iri { prefix_id: 15 name_id: 14 } o_literal { lex: "Canton" } } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 3 name_id: 32 } } } rows { quad { p_iri { name_id: 38 } o_literal { lex: "3.2675289312457454" } } } rows { quad { p_iri { } o_literal { lex: "4.8" } } } rows { name { value: "f285513c-6ff9-412d-89a1-2f1e1d5d92ec" } } rows { quad { s_iri { prefix_id: 7 name_id: 9 } p_iri { prefix_id: 15 name_id: 14 } o_literal { lex: "Experimental results indicate that the proposed MSFD model can effectively estimate the intentionally removed data, and the values of the restored data are quite close to the values of the true data." } } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 3 name_id: 59 } } } rows { quad { p_iri { name_id: 38 } o_literal { lex: "19.051580698835277" } } } rows { quad { p_iri { } o_literal { lex: "22.9" } } } rows { name { id: 11 value: "f8b6080d-474d-4d7f-9e22-7a70d0df9899" } } rows { quad { s_iri { prefix_id: 7 name_id: 11 } p_iri { prefix_id: 15 name_id: 14 } o_literal { lex: "The restoration of missing data is an important concern for data analysis." } } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 3 name_id: 59 } } } rows { quad { p_iri { name_id: 38 } o_literal { lex: "11.73044925124792" } } } rows { quad { p_iri { } o_literal { lex: "14.1" } } } rows { name { id: 4 value: "fcecc9a5-1448-45b4-8f75-5ca13fda8f14" } } rows { quad { s_iri { prefix_id: 7 name_id: 4 } p_iri { prefix_id: 15 name_id: 14 } o_literal { lex: "value" } } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 3 name_id: 37 } } } rows { quad { p_iri { } o_literal { lex: "10.071301247771835" } } } rows { quad { p_iri { } o_literal { lex: "11.3" } } } rows { name { id: 15 value: "fd4258f4-ac85-497a-b4c3-3dcb43314af2" } } rows { quad { s_iri { prefix_id: 7 name_id: 15 } p_iri { prefix_id: 15 name_id: 14 } o_literal { lex: "Canton" } } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 4 name_id: 34 } } } rows { quad { p_iri { prefix_id: 3 name_id: 63 } o_literal { lex: "https://www.wikidata.org/wiki/Q16572" } } } rows { name { id: 17 value: "fe1073bb-bc2c-4db3-b8e8-7ef75d7a26a0" } } rows { quad { s_iri { prefix_id: 7 name_id: 17 } p_iri { prefix_id: 15 name_id: 14 } o_literal { lex: "mathematical and computer sciences" } } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 3 name_id: 78 } } } rows { quad { p_iri { name_id: 38 } o_literal { lex: "50.0" } } } rows { quad { p_iri { } o_literal { lex: "0.6513797640800476" } } } rows { prefix { id: 10 } } rows { quad { s_iri { prefix_id: 10 name_id: 93 } p_iri { prefix_id: 15 name_id: 14 } o_literal { lex: "service-account-generation-service" } } } rows { prefix { id: 12 value: "http://xmlns.com/foaf/0.1/" } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 12 name_id: 16 } } } rows { prefix { id: 11 value: "https://w3id.org/np/RAxUVvErZ6LvcjMvAxJGbWhHFxTZEGbUNSEQ_KuAEVgrY/" } } rows { name { value: "assertion" } } rows { name { id: 20 value: "wasDerivedFrom" } } rows { prefix { id: 13 value: "https://api.rohub.org/api/ros/aa087e78-5027-4635-b915-f394d0c1e656/crate/download/" } } rows { name { value: "provenance" } } rows { quad { s_iri { prefix_id: 11 name_id: 18 } p_iri { prefix_id: 14 name_id: 20 } o_iri { prefix_id: 13 name_id: 116 } g_iri { prefix_id: 11 name_id: 21 } } } rows { prefix { id: 1 value: "https://w3id.org/np/" } } rows { name { id: 19 value: "RAxUVvErZ6LvcjMvAxJGbWhHFxTZEGbUNSEQ_KuAEVgrY" } } rows { name { id: 24 value: "created" } } rows { datatype { value: "http://www.w3.org/2001/XMLSchema#dateTime" } } rows { name { value: "pubinfo" } } rows { quad { s_iri { prefix_id: 1 name_id: 19 } p_iri { prefix_id: 8 name_id: 24 } o_literal { lex: "2026-03-03T15:50:25.492+01:00" datatype: 2 } g_iri { prefix_id: 11 } } } rows { prefix { id: 9 value: "https://w3id.org/kpxl/gen/terms/" } } rows { name { value: "RoCrateBot" } } rows { quad { p_iri { prefix_id: 8 name_id: 101 } o_iri { prefix_id: 9 name_id: 26 } } } rows { prefix { id: 2 value: "http://purl.org/nanopub/x/" } } rows { name { id: 28 value: "introduces" } } rows { quad { p_iri { prefix_id: 2 name_id: 28 } o_iri { prefix_id: 16 name_id: 2 } } } rows { name { id: 30 value: "RoCrateNanopub" } } rows { quad { p_iri { prefix_id: 6 name_id: 10 } o_iri { prefix_id: 2 name_id: 30 } } } rows { prefix { id: 5 value: "http://www.w3.org/2000/01/rdf-schema#" } } rows { name { id: 27 value: "label" } } rows { quad { p_iri { prefix_id: 5 name_id: 27 } o_literal { lex: "Restoration of Missing Time-Series Data via Multiple Sine Functions Decomposition with Guangzhou-Temperature Application" } } } rows { name { id: 31 value: "sig" } } rows { name { id: 33 value: "hasAlgorithm" } } rows { quad { s_iri { prefix_id: 11 name_id: 31 } p_iri { prefix_id: 2 name_id: 33 } o_literal { lex: "RSA" } } } rows { name { id: 35 value: "hasPublicKey" } } rows { quad { p_iri { name_id: 35 } o_literal { lex: "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" } } } rows { name { id: 22 value: "hasSignature" } } rows { quad { p_iri { name_id: 22 } o_literal { lex: "NWXwEmNOMD4D+VGyRpDDHQi2kbSKH08Q8+L0QxxBhqjzArdqngoJypjlF2DqOf9AQoKbbWQ4hV/3v5jXvPB10GnZ3SnV4KLmJgyA1xa2bh2BjR2fYafyyjrTiIXrmuahwymOXGoVDbly6WYaGmxDvSHQYHbBICaN6narDQpzWTk13j8Xy9xY0SI13dgj8aFCV9n7iMsDwx5aweeSY6ZWhqcxIR3TVl/9IeT3BwLW1tsuEc5z7eBLA9t/aw8ej5Qpx7zIbe4k8LZ8PsdkZneBQhJ4xcQ1otLWCyDMnGE0uf/8fzLalEa5fPMEFawIMEQuaLbm9ORZnXErWbh5p3rKhQ==" } } } rows { name { id: 36 value: "hasSignatureTarget" } } rows { quad { p_iri { name_id: 36 } o_iri { prefix_id: 1 name_id: 19 } } } rows { name { id: 40 value: "signedBy" } } rows { quad { p_iri { prefix_id: 2 name_id: 40 } o_iri { prefix_id: 9 name_id: 26 } } }