@prefix this: . @prefix sub: . @prefix np: . @prefix dct: . @prefix xsd: . @prefix rdfs: . @prefix prov: . @prefix npx: . sub:Head { this: np:hasAssertion sub:assertion; np:hasProvenance sub:provenance; np:hasPublicationInfo sub:pubinfo; a np:Nanopublication . } sub:assertion { ""; "Environmental research"; a . "research object"; a ; "34.96993987975952"; "34.9" . "geosciences"; a ; "100.0"; "0.43252861499786377" . "Jupyter Notebook"; a . "Environmental Data Science book"; a ; "18.43687374749499"; "18.4" . "Science and technology"; a ; "Science and technology" . "The research object refers to the Template notebook published in the Environmental Data Science book."; a ; "64.06406406406406"; "64.0" . "earth sciences"; a ; "100.0"; "0.7803587317466736" . "templet"; a ; "23.016905071521453"; "17.7" . "refer to the template notebook"; a ; "0.5010020040080161"; "0.5" . "research"; a ; "17.555266579973992"; "13.5" . "template notebook"; a ; "46.09218436873748"; "46.0" . "notebook"; a ; "24.96749024707412"; "19.2" . a . "template"; a ; "18.09045226130653"; "18.0" . "research"; a ; "13.869346733668342"; "13.8" . "service-account-enrichment"; a . dct:doi "10.24424/7pt6-df47"; "False"; "https://w3id.org/ro-id/789b2db0-a52d-415c-af62-c87380937d4e"; "2022-10-31 19:51:15.643215+00:00"; "mailto:environmental.ds.book@gmail.com"; ; ; "9263"^^xsd:integer; "https://api.rohub.org/api/ros/87f47505-75d1-4658-862c-36f491d1ea26/crate/download/"; ; ; "2022-02-21 20:26:08.937767+00:00"; "2024-03-05 12:24:25.352359+00:00"; "2022-02-21 20:26:08.937767+00:00"; "The research object refers to the Template notebook published in the Environmental Data Science book."; "application/ld+json"; , , , ; "https://w3id.org/ro-id/87f47505-75d1-4658-862c-36f491d1ea26"; "Environmental Science"; ; "Jupyter Notebook"; "Template (Jupyter Notebook) published in the Environmental Data Science book - snapshot", "Template (Jupyter Notebook) published in the Environmental Data Science book"; ; ; "MANUAL"; a , , , , ; "https://w3id.org/ro-id/ef025eab-a85a-4440-ae6f-adb6e443b0b6"; "https://w3id.org/ro-id/4130430e-67cd-4442-8959-8382b2260fca", "https://w3id.org/ro-id/55299b3e-5093-47b7-9a57-2b251af7995f", "https://w3id.org/ro-id/6404a0ac-3cee-483a-8b61-b4e6e6df3027", "https://w3id.org/ro-id/bf011d93-f946-442e-bb59-c63d274a5ce1", "https://w3id.org/ro-id/dd48c590-889b-43f2-b0f9-005d1ab6b9c4"; "https://w3id.org/ro-id/39c65205-c074-4c60-9b73-43cf76c19ac0", "https://w3id.org/ro-id/c79948d9-075b-4d97-a2c9-6a90596c9314"; "https://w3id.org/ro-id/2f89b1a9-97ee-4bc4-a8e4-e1c02ef69547", "https://w3id.org/ro-id/a05dca19-fb62-4358-b96e-fdb95f3aeddd", "https://w3id.org/ro-id/fb36580e-6777-4c1b-9710-30684e25aecf"; "https://w3id.org/ro-id/7d10a215-d5fa-4dc5-be52-6313e43be249", "https://w3id.org/ro-id/8343a7bf-b81d-478f-a600-23772d48856f", "https://w3id.org/ro-id/8ea448ba-fbd4-417f-99ca-281885edcbab", "https://w3id.org/ro-id/8fe00166-7328-401a-b3bc-c58943eebb37", "https://w3id.org/ro-id/a79d8b18-2913-4f61-b306-3f53fb535a2d", "https://w3id.org/ro-id/b772cd8c-a20c-4157-90c6-e93931b7df34", "https://w3id.org/ro-id/f6d6bf35-f8f5-44f8-8ab4-053a8c3277fd"; "https://w3id.org/ro-id/0ed12525-4e2c-483e-9c08-8da2b3669212", "https://w3id.org/ro-id/cc403fbb-d79c-433f-aa86-dd1787b524a7"; "https://w3id.org/ro-id/07fa7162-ebe7-4771-80d6-fb5144f32601", "https://w3id.org/ro-id/1e124386-da30-4b26-bfb5-9dd54aec34fa", "https://w3id.org/ro-id/2b98fd78-4c9b-4442-8c5b-7f131eee3205", "https://w3id.org/ro-id/4c6de85b-da5d-480d-92c9-25d360524c5d", "https://w3id.org/ro-id/56f4ea89-ab8b-4ec3-91af-cd43f4990332"; "https://w3id.org/ro-id/3806522d-bab3-4b4b-90bb-87bbcf5c4c11", "https://w3id.org/ro-id/c3852759-0260-4a5b-924e-31c4faf07a6c"; "Community, Environmental Data Science Book. \"Template (Jupyter Notebook) published in the Environmental Data Science book.\" ROHub. Feb 21 ,2022. https://doi.org/10.24424/7pt6-df47." . a . "input"; a , . "tool"; a , . "biblio"; a , . "output"; a , . dct:conformsTo ; ; a . "object"; a ; "11.055276381909549"; "11.0" . "Jupyter notebook"; a ; "5.025125628140704"; "5.0" . "Literature"; a ; "Arts, culture and entertainment/Arts and entertainment/Literature" . "notebook"; a ; "20.301507537688444"; "20.2" . "Environmental Data Science"; a ; "18.19095477386935"; "18.1" . "book"; a ; "20.676202860858258"; "15.9" . "Template (Jupyter Notebook) published in the Environmental Data Science book."; a ; "35.93593593593594"; "35.9" . "atmospheric sciences"; a ; "100.0"; "0.7803587317466736" . "meteorology and climatology"; a ; "100.0"; "0.43252861499786377" . "aim"; a ; "13.784135240572171"; "10.6" . "publishing"; a ; "100.0"; "9.2" . "book"; a ; "13.467336683417086"; "13.4" . "Language"; a ; "Arts, culture and entertainment/Culture/Language" . "environmental.ds.book@gmail.com"; "Environmental Data Science Book Community", "The Environmental Data Science Community"; a , . } sub:provenance { sub:assertion prov:wasDerivedFrom . } sub:pubinfo { this: dct:created "2025-11-11T16:27:18.534+01:00"^^xsd:dateTime; npx:introduces ; a npx:RoCrateNanopub; rdfs:label "Template (Jupyter Notebook) published in the Environmental Data Science book - snapshot" . sub:sig npx:hasAlgorithm "RSA"; npx:hasPublicKey "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEA4pPaESKwmC6l37P86K6TNLq6yeQtc7m9CvcqauLs/1FC0viHvQnFBgxj0a+loPDv/Egwe6OqFpa0iW9Ypnyz9YPoh+pxbRXonbuMOb+8Ry9hXZ+TEKfWjhjVDGEaClwfRwglh2HI/xfV4CD9AgvDOEoZQiyta8a90PYwJ3G6e70oCHTn61+OWTkI9KRYHOYgg3btdy2Z7q/30PTFawb2ZT5aIfIJYobUYv2a7yhtcqWCHZeKv0bxGnRjTFNx1rscBMlLJSzvRtpQc1cCRVEPFZHo1adaXCI9tGvn4cxeNQ96y8dxkN1XhpaJairde+23MDzf42Oe97KG2HYzKiyVnQIDAQAB"; npx:hasSignature "Hi5m092TVeWEfPIZ0z5g0JE7pg+dgycGCu56OVeyT6JNhz+VyAyAERCvn5F9lE7ggE68p/j8uzj8hallWXI+U9xDY/4tYM4zoSYE6YWS82DeabaGF87yxVPhRBZ6b2Uz2Px8aZ7iiohrV//vI5/AjG3tficrjrT62dYawVneyPBmvOkZzpTTSNPIKteXOG/ITkY0kmBtGO+EYYSgC680qmYmiu++fMbXRq32TZRo73pb9Np6qlXmQ90J/M0AcISY8mE33xnIUhRTXQqE5Y281PBsNMLod3+6J+Fa/1VMlC/S9uj64hIqYiMNNizJPppoudUFrsyvTOyw9/xhpo/o+Q=="; npx:hasSignatureTarget this:; npx:signedBy . }