@prefix this: . @prefix sub: . @prefix np: . @prefix dct: . @prefix xsd: . @prefix rdfs: . @prefix prov: . @prefix npx: . sub:Head { this: a np:Nanopublication; np:hasAssertion sub:assertion; np:hasProvenance sub:provenance; np:hasPublicationInfo sub:pubinfo . } sub:assertion { a ; ""; "Environmental research" . a ; ""; "Climatology" . a ; "research object"; "34.0522133938706"; "30.0" . a ; "notebook"; "8.160779537149818"; "6.7" . a ; "time series notebook"; "12.599318955732123"; "11.1" . a ; "Weather"; "Weather" . a ; "research"; "8.891595615103533"; "7.3" . a ; "meteorology and climatology"; "100.0"; "0.695183515548706" . a ; "aim"; "5.7177615571776155"; "4.7" . a ; "Jupyter Notebook"; "3.178206583427923"; "2.8" . a ; "IT-computer sciences"; "Science and technology/Technology and engineering/IT-computer sciences" . a ; "dataset"; "28.102189781021895"; "23.1" . a ; "book"; "7.429963459196103"; "6.1" . a ; "earth sciences"; "100.0"; "0.9929063320159912" . a ; "Environmental Data Science"; "8.891595615103533"; "7.3" . a ; "Literature"; "Arts, culture and entertainment/Arts and entertainment/Literature" . a ; "The research object refers to the Concatenating a gridded rainfall reanalysis dataset into a time series notebook published in the Environmental Data Science book."; "55.65565565565565"; "55.6" . a ; "publishing"; "100.0"; "4.8" . a ; "atmospheric sciences"; "100.0"; "0.9929063320159912" . a ; "research"; "8.880778588807786"; "7.3" . a ; "notebook"; "8.150851581508515"; "6.7" . a ; "dataset"; "28.380024360535934"; "23.3" . a ; "time series"; "19.853836784409257"; "16.3" . a ; "time series"; "23.357664233576642"; "19.2" . a ; ; "703feb89-7699-420c-86e1-821e66874ee3"; "POLYGON ((-171.02743148803714 -58.697824821873, -171.02743148803714 74.07635756884055, 213.40530395507815 74.07635756884055, 213.40530395507815 -58.697824821873, -171.02743148803714 -58.697824821873))" . a ; "service-account-enrichment" . a ; "POLYGON ((-171.02743148803714 -58.697824821873, -171.02743148803714 74.07635756884055, 213.40530395507815 74.07635756884055, 213.40530395507815 -58.697824821873, -171.02743148803714 -58.697824821873))"; "-171.02743148803714 -58.697824821873, -171.02743148803714 74.07635756884055, 213.40530395507815 74.07635756884055, 213.40530395507815 -58.697824821873, -171.02743148803714 -58.697824821873" . a , , , , ; dct:doi "https://doi.org/10.24424/1vw8-6519"; "False"; "https://w3id.org/ro-id/ea34568e-d86e-4720-be2f-3f826f66a26c"; "2023-03-20 18:21:11.607919+00:00"; "mailto:environmental.ds.book@gmail.com"; , ; , , , , ; ; "146479"^^xsd:integer; "https://api.rohub.org/api/ros/bba00431-cb1c-4fc4-b90b-14cbc5edf0ac/crate/download/"; , ; ; ; "2022-07-24 18:43:58.657005+00:00"; "2024-03-05 12:17:23.998720+00:00"; "2022-07-24 18:43:58.657005+00:00"; "The research object refers to the Concatenating a gridded rainfall reanalysis dataset into a time series notebook published in the Environmental Data Science book."; "application/ld+json"; , , , ; "https://w3id.org/ro-id/bba00431-cb1c-4fc4-b90b-14cbc5edf0ac"; "Environmental Science", "climate science"; ; "Jupyter Notebook"; "Concatenating a gridded rainfall reanalysis dataset into a time series (Jupyter Notebook) published in the Environmental Data Science book - snapshot", "Concatenating a gridded rainfall reanalysis dataset into a time series (Jupyter Notebook) published in the Environmental Data Science book"; ; ; "MANUAL"; "https://w3id.org/ro-id/bba00431-cb1c-4fc4-b90b-14cbc5edf0ac/34158f22-c9ba-49a6-9199-3d63d8693f28"; "https://w3id.org/ro-id/92179729-8298-49d1-b1c3-36c095e98dec"; "https://w3id.org/ro-id/43447965-b8a5-4ce3-a340-a38f48752f7d", "https://w3id.org/ro-id/61faa03c-eee1-45a2-827f-06169ec05e47", "https://w3id.org/ro-id/a97b3aa1-7a7e-4634-9125-c69158240e98", "https://w3id.org/ro-id/acef55b3-be37-4252-b129-24a2d2f5d806", "https://w3id.org/ro-id/bb7796bb-0675-4d91-b635-b1db857ad148", "https://w3id.org/ro-id/d5a52c79-afb5-4789-8582-214422057ec9", "https://w3id.org/ro-id/e64edc75-9432-46c2-9bde-76fa1e86cde2"; "https://w3id.org/ro-id/6716f3cb-6b2d-4b5e-87df-65bb2f2a4d16", "https://w3id.org/ro-id/a0befa3b-288f-4654-b300-9bd931466657"; "https://w3id.org/ro-id/3324b332-2ce9-495f-b8f5-59f7a805b60a", "https://w3id.org/ro-id/59b7fb40-c572-468e-a8df-48bc793ed03b", "https://w3id.org/ro-id/6d65a0d4-4c26-4a74-a724-f0afbf467fb7", "https://w3id.org/ro-id/c45fd292-7cb8-496f-88fd-95a54ceaebae", "https://w3id.org/ro-id/c67575fb-9986-4083-9ad0-3011e335b171"; "https://w3id.org/ro-id/1b6ddf8c-927c-4f4a-b999-d93939c19a13", "https://w3id.org/ro-id/34acae40-1b3f-4306-aba5-248e88e50aa5", "https://w3id.org/ro-id/6424393a-ced3-4abb-ac91-96b6c00bbe6e", "https://w3id.org/ro-id/680526ed-ea51-499d-b551-6788d5e2d2c7", "https://w3id.org/ro-id/b20db5a5-d378-4d6e-9089-78b71aa5470c", "https://w3id.org/ro-id/b9feab40-4796-460f-bcf1-5f4150955b94", "https://w3id.org/ro-id/c74d40cf-a8e6-4e2f-b022-640191e70506"; "https://w3id.org/ro-id/3d03f4ee-d2da-4519-8482-accc364af11e", "https://w3id.org/ro-id/d8601af8-2909-4bea-87aa-a38c29ba20d3"; "https://w3id.org/ro-id/0ff868d9-88e3-47de-8392-8c10d30845f2", "https://w3id.org/ro-id/1d66b800-f050-48ad-bed9-66cd9c80252a", "https://w3id.org/ro-id/4ed53b28-6885-4f0a-bb60-1148979e4c14", "https://w3id.org/ro-id/dc515ace-cbf9-436e-bc90-debf3328a813", "https://w3id.org/ro-id/e07c846c-406d-4ea7-836d-f2021306f021"; "https://w3id.org/ro-id/7357e3a8-90dc-4968-b810-9002e85e1a17", "https://w3id.org/ro-id/f342999b-1f6d-4741-822a-46e6de211929"; "Timothy Lam, Marlene Kretschmer, Samantha Adams, Rachel Prudden, Elena Saggioro, Nick Homer, and Alejandro Coca-Castro. \"Concatenating a gridded rainfall reanalysis dataset into a time series (Jupyter Notebook) published in the Environmental Data Science book.\" ROHub. Jul 24 ,2022. https://doi.org/10.24424/1vw8-6519." . a , ; "POLYGON ((-171.02743148803714 -58.697824821873, -171.02743148803714 74.07635756884055, 213.40530395507815 74.07635756884055, 213.40530395507815 -58.697824821873, -171.02743148803714 -58.697824821873))" . a . a , ; , ; "output" . a , ; ; "input" . a , ; , , , , ; "tool" . a , ; , ; "biblio" . a , , ; ; "https://downloads.psl.noaa.gov/Datasets/ncep.reanalysis.derived/surface_gauss/prate.sfc.mon.mean.nc"; ; "2022-07-24 18:44:17.979925+00:00"; "2023-03-20 18:21:11.297473+00:00"; "Contains input of the Jupyter Notebook - Concatenating a gridded rainfall reanalysis dataset into a time series used in the Jupyter notebook of Concatenating a gridded rainfall reanalysis dataset into a time series"; "application/x-netcdf"; ; "Input of the Jupyter Notebook - Concatenating a gridded rainfall reanalysis dataset into a time series"; "2022-07-24 18:44:17.979925+00:00" . a , , ; ; "https://edsbook.org/notebooks/gallery/ea34568e-d86e-4720-be2f-3f826f66a26c/notebook.html"; ; "2022-07-25 07:55:35.391910+00:00"; "2023-03-20 18:21:06.263751+00:00"; "Rendered version of the Jupyter Notebook hosted by the Environmental Data Science Book"; "text/html"; ; "Online rendered version of the Jupyter notebook"; "2022-07-25 07:55:35.391910+00:00" . a , , ; ; "https://doi.org/10.5281/zenodo.6824189"; ; "2022-07-24 18:44:21.623972+00:00"; "2023-03-20 18:21:06.510660+00:00"; "Contains outputs, (figures), generated in the Jupyter notebook of Concatenating a gridded rainfall reanalysis dataset into a time series"; ; "Outputs"; "2022-07-24 18:44:21.623972+00:00" . a , ; ; "https://github.com/eds-book-gallery/ea34568e-d86e-4720-be2f-3f826f66a26c/blob/main/.lock/requirements.txt"; ; "2022-07-25 07:56:37.104852+00:00"; "2023-03-20 18:21:05.514200+00:00"; "Pip requirements file containing libraries to install after conda lock"; "text/plain"; ; "Pip requirements for lock conda environments"; "2022-07-25 07:56:37.104852+00:00" . a , , ; ; "122755"^^xsd:integer; "https://api.rohub.org/api/resources/574e5560-0b34-4e4e-a3a8-00fb459c8160/download/"; ; "2022-07-24 18:44:09.437631+00:00"; "2023-03-20 18:21:07.485193+00:00"; "image/png"; ; "Image showing interactive plot of global monthly precipitation mean computed from NCEP/NCAR reanalysis dataset"; "2022-07-24 18:44:09.437631+00:00" . a , , ; ; "https://raw.githubusercontent.com/eds-book-gallery/ea34568e-d86e-4720-be2f-3f826f66a26c/main/notebook.ipynb"; ; "2022-07-24 18:44:15.645584+00:00"; "2023-03-20 18:21:05.626584+00:00"; "Jupyter Notebook hosted by the Environmental Data Science Book"; ; "Jupyter notebook"; "2022-07-24 18:44:15.645584+00:00"; "https://w3id.org/ro-id/bba00431-cb1c-4fc4-b90b-14cbc5edf0ac/resources/2e183ec2-4914-4975-baa5-caf55fc72adc" . a , ; ; "https://github.com/eds-book-gallery/ea34568e-d86e-4720-be2f-3f826f66a26c/blob/main/.lock/conda-osx-64.lock"; ; "2022-07-25 07:55:37.939360+00:00"; "2023-03-20 18:21:07.093471+00:00"; "Lock conda file for osx-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book"; ; "Lock conda file for osx-64"; "2022-07-25 07:55:37.939360+00:00" . a dct:BibliographicResource, , ; ; "https://doi.org/10.1175/BAMS-D-20-0117.1"; ; "2022-07-24 18:44:26.453549+00:00"; "2023-03-20 18:21:11.415216+00:00"; "Related publication of the exploration presented in the Jupyter notebook"; ; "Quantifying Causal Pathways of Teleconnections"; "2022-07-24 18:44:26.453549+00:00" . a dct:BibliographicResource, , ; ; "http://doi.org/10.1175/1520-0477(1996)077%3C0437:TNYRP%3E2.0.CO;2"; ; "2022-07-24 18:44:23.809948+00:00"; "2023-03-20 18:21:06.782308+00:00"; "Related publication of the exploration presented in the Jupyter notebook"; ; "The NMC/NCAR 40-year reanalysis project"; "2022-07-24 18:44:23.809948+00:00" . a , , ; ; "https://raw.githubusercontent.com/eds-book-gallery/ea34568e-d86e-4720-be2f-3f826f66a26c/main/.binder/environment.yml"; ; "2022-07-25 07:56:45.244365+00:00"; "2023-03-20 18:21:06.392124+00:00"; "Conda environment when user want to have the same libraries installed without concerns of package versions"; ; "Conda environment"; "2022-07-25 07:56:45.244365+00:00" . a ; dct:conformsTo ; . a ; "Book industry"; "Economy, business and finance/Economic sector/Media/Book industry" . a ; "Language"; "Arts, culture and entertainment/Culture/Language" . a ; "reanalysis"; "18.39220462850183"; "15.1" . a ; "book"; "7.542579075425791"; "6.2" . a ; "geosciences"; "100.0"; "0.695183515548706" . a ; "Environmental Data Science book"; "15.323496027241772"; "13.5" . a ; "gridded rainfall reanalysis dataset"; "34.846765039727586"; "30.7" . a ; "re-analysis"; "18.248175182481752"; "15.0" . a . a ; "Concatenating a gridded rainfall reanalysis dataset into a time series (Jupyter Notebook) published in the Environmental Data Science book."; "44.34434434434434"; "44.3" . a ; "The Alan Turing Institute"; "acoca@turing.ac.uk"; "Alejandro Coca-Castro" . a ; "University of Reading"; "e.saggioro@pgr.reading.ac.uk"; "Elena Saggioro" . a , ; "environmental.ds.book@gmail.com"; "Environmental Data Science Book Community" . a ; "University of Reading"; "m.j.a.kretschmer@reading.ac.uk"; "Marlene Kretschmer" . a ; "University of Edinburgh"; "nhomer@turing.ac.uk"; "Nick Homer" . a ; "Met Office Informatics Lab"; "rachel.prudden@informaticslab.co.uk"; "Rachel Prudden" . a ; "Met Office Informatics Lab"; "samantha.adams@metoffice.gov.uk"; "Samantha Adams" . a ; "University of Exeter"; "tlam@turing.ac.uk"; "Timothy Lam" . } sub:provenance { sub:assertion prov:wasDerivedFrom . } sub:pubinfo { this: a npx:RoCrateNanopub; dct:created "2025-11-11T16:12:31.518+01:00"^^xsd:dateTime; npx:introduces ; rdfs:label "Concatenating a gridded rainfall reanalysis dataset into a time series (Jupyter Notebook) published in the Environmental Data Science book" . sub:sig npx:hasAlgorithm "RSA"; npx:hasPublicKey "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEA4pPaESKwmC6l37P86K6TNLq6yeQtc7m9CvcqauLs/1FC0viHvQnFBgxj0a+loPDv/Egwe6OqFpa0iW9Ypnyz9YPoh+pxbRXonbuMOb+8Ry9hXZ+TEKfWjhjVDGEaClwfRwglh2HI/xfV4CD9AgvDOEoZQiyta8a90PYwJ3G6e70oCHTn61+OWTkI9KRYHOYgg3btdy2Z7q/30PTFawb2ZT5aIfIJYobUYv2a7yhtcqWCHZeKv0bxGnRjTFNx1rscBMlLJSzvRtpQc1cCRVEPFZHo1adaXCI9tGvn4cxeNQ96y8dxkN1XhpaJairde+23MDzf42Oe97KG2HYzKiyVnQIDAQAB"; npx:hasSignature "K0zCsX9Rk2VL0XdeedwoWVeyJmrysf1i/IXK8u3UYbnPU8t8+s5UUoobnq5LI/Ta++q6i0yJ+2bP5Nl/wePdC1vm0wCVtgEtVcub6uSZdsggeSor+YAIy/FHeZw9JGMIKROoC0Iom+vuLV2JgO6rsKGIQNXggkfTrED6ltQ0+ZMmkKytDglHDrqqlyWxE14PJDn6X5NwAd+mlpYIgV5wSsM8mpEokbgwkSg7V1s02uca7bKAtJ1iL0ZSiA7+ov7Ws0bAVNkibOlb88/sjqlSiqr7cwmtS6e6Tp10tf5t5vECoVObO0LMZRiqSjV7rqKQ8q0vts+EfrCRdbyYg5aS3Q=="; npx:hasSignatureTarget this:; npx:signedBy . }