@prefix this: . @prefix sub: . @prefix np: . @prefix dct: . @prefix pav: . @prefix rdf: . @prefix owl: . @prefix rdfg: . @prefix dce: . @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 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 ; ""; "Environmental research" . a ; ""; "Climatology" . 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 , , ; ; "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://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://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 , ; ; "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 , , ; ; "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 , , ; ; "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"; . a ; ; "0c828382-6170-4787-81eb-be1e6b9e459c"; "POLYGON ((-171.02743148803714 -58.697824821873, -171.02743148803714 74.07635756884055, 213.40530395507815 74.07635756884055, 213.40530395507815 -58.697824821873, -171.02743148803714 -58.697824821873))" . 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"; ; "2023-03-20 18:21:11.603227+00:00"; ; , ; , , , , ; ; "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"; , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ; ; "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 , ; , ; "output" . a , ; ; "input" . a , ; , , , , ; "tool" . a , ; , ; "biblio" . 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 ; dct:conformsTo ; . a ; "Computational notebooks community focused on Environmental Data Science"; "environmental.ds.book@gmail.com"; "Environmental Data Science Book Community"; "https://github.com/alan-turing-institute/environmental-ds-book/issues/new/choose" . a . a ; "IT-computer sciences"; "Science and technology/Technology and engineering/IT-computer sciences" . a ; "re-analysis"; "18.248175182481752"; "15.0" . a ; "publishing"; "100.0"; "4.8" . 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 ; "notebook"; "8.160779537149818"; "6.7" . a ; "Jupyter Notebook"; "3.178206583427923"; "2.8" . a ; "book"; "7.542579075425791"; "6.2" . a ; "Literature"; "Arts, culture and entertainment/Arts and entertainment/Literature" . a ; "time series notebook"; "12.599318955732123"; "11.1" . a ; "reanalysis"; "18.39220462850183"; "15.1" . a ; "notebook"; "8.150851581508515"; "6.7" . a ; "aim"; "5.7177615571776155"; "4.7" . a ; "Weather"; "Weather" . a ; "research"; "8.880778588807786"; "7.3" . a ; "dataset"; "28.102189781021895"; "23.1" . a ; "atmospheric sciences"; "100.0"; "0.9929063320159912" . a ; "Language"; "Arts, culture and entertainment/Culture/Language" . a ; "research"; "8.891595615103533"; "7.3" . a ; "gridded rainfall reanalysis dataset"; "34.846765039727586"; "30.7" . a ; "Book industry"; "Economy, business and finance/Economic sector/Media/Book industry" . a ; "earth sciences"; "100.0"; "0.9929063320159912" . a ; "meteorology and climatology"; "100.0"; "0.695183515548706" . a ; "dataset"; "28.380024360535934"; "23.3" . 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 ; "Environmental Data Science"; "8.891595615103533"; "7.3" . a ; "Environmental Data Science book"; "15.323496027241772"; "13.5" . a ; "time series"; "19.853836784409257"; "16.3" . a ; "geosciences"; "100.0"; "0.695183515548706" . a ; "time series"; "23.357664233576642"; "19.2" . a ; "book"; "7.429963459196103"; "6.1" . a ; "research object"; "34.0522133938706"; "30.0" . 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 ; "service-account-enrichment" . a ; "University of Exeter"; "tlam@turing.ac.uk"; "Timothy Lam" . } sub:provenance { sub:assertion prov:wasDerivedFrom . } sub:pubinfo { this: a npx:RoCrateNanopub; dct:created "2026-03-03T15:17:17.820+01:00"^^xsd:dateTime; dct:creator ; 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 "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB"; npx:hasSignature "PYmPXZYU+P2DJd6YDsTUJ44edfNYtjLehj5r/z3IKmayHTxrkqUwsj+rVMIIiPDl7/CtDJmuU3gYc41LDQVGy8pOFWA7+UFMYF4kSaBos3XJKQg+rQUR1uYk2klD+3cO3LRFdk17nbYdpCZSxYm4thqZp46VzYx8wKLBpK0qdlzEJA6T83le06TkOCl0G2OjKHFIevvkPYNlIwKrR5nXUPJOVuxXGyR6UNIZlxplI2Ac8VFujHw9YAoq8nkIRIxGxAl40U6U7xMkrjRpqt0Yzoc/PTQcDSBql8pSa9AHp/IQv2MnghCt9WDsWWyxjQJD66VP+LJDc6mTZ6vpSruKyQ=="; npx:hasSignatureTarget this:; npx:signedBy . }