@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 { ""; "Meteorology"; a . ""; "Environmental research"; a . ""; "Climatology"; a . ; "https://doi.org/10.5281/zenodo.5984713"; ; "2022-02-06 17:02:59.243925+00:00"; "2023-03-15 15:29:32.025227+00:00"; "Contains outputs, (regridded data and figures), generated in the Jupyter notebook of Met Office UKV high-resolution atmosphere model data"; ; "Outputs"; "2022-02-06 17:02:59.243925+00:00"; a , , . ; "https://edsbook.org/gallery/exploration/urban-exploration-climate_ukv/urban-exploration-climate_ukv.html"; ; "2022-02-06 17:04:55.919176+00:00"; "2023-03-15 15:29:08.799869+00:00"; "Rendered version of the Jupyter Notebook hosted by the Environmental Data Science Book"; "text/html"; ; "Online rendered version of the Jupyter notebook"; "2022-02-06 17:04:55.919176+00:00"; a , , . ; "https://github.com/eds-book-gallery/urban-exploration-climate_ukv/blob/main/.lock/conda-linux-64.lock"; ; "2022-02-06 17:06:19.473817+00:00"; "2023-03-15 15:29:11.899466+00:00"; "Lock conda file for linux-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book"; ; "Lock conda file for linux-64"; "2022-02-06 17:06:19.473817+00:00"; a , . ; "https://github.com/eds-book-gallery/urban-exploration-climate_ukv/blob/main/.lock/conda-osx-64.lock"; ; "2022-02-06 17:06:20.621949+00:00"; "2023-03-15 15:29:13.341003+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"; "2022-02-06 17:06:20.621949+00:00"; a , . ; "https://github.com/eds-book-gallery/urban-exploration-climate_ukv/blob/main/.lock/conda-win-64.lock"; ; "2023-03-11 23:00:41.147309+00:00"; "2023-03-15 15:29:13.617803+00:00"; "Lock conda file for linux-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book"; ; "Lock conda file for win-64"; "2023-03-11 23:00:41.147309+00:00"; a , . ; "https://medium.com/informatics-lab/met-office-and-partners-offer-data-and-compute-platform-for-covid-19-researchers-83848ac55f5f"; ; "2022-02-06 17:03:00.565055+00:00"; "2023-03-15 15:29:15.911084+00:00"; "Related publication of the sensors presented in the Jupyter notebook"; ; "Met office and partners offer data and compute platform for covid-19 researchers"; "2022-02-06 17:03:00.565055+00:00"; a dct:BibliographicResource, , . ; "https://metdatasa.blob.core.windows.net/covid19-response-non-commercial/metoffice_ukv_daily/t1o5m_mean/ukv_daily_t1o5m_mean_20150801.nc"; ; "2022-02-06 17:02:56.603984+00:00"; "2023-03-15 15:29:19.254219+00:00"; "Contains input gridded data used in the Jupyter notebook of Met Office UKV high-resolution atmosphere model data"; "application/x-netcdf"; ; "Input gridded data"; "2022-02-06 17:02:56.603984+00:00"; a , , . ; "https://raw.githubusercontent.com/eds-book-gallery/urban-exploration-climate_ukv/main/.binder/environment.yml"; ; "2022-02-06 17:07:13.909210+00:00"; "2023-03-15 15:29:17.826463+00:00"; "Conda environment when user want to have the same libraries installed without concerns of package versions"; ; "Conda environment"; "2022-02-06 17:07:13.909210+00:00"; a , . dct:doi "10.24424/1p3t-3n60"; ; "https://raw.githubusercontent.com/eds-book-gallery/urban-exploration-climate_ukv/main/urban-exploration-climate_ukv.ipynb"; ; "2022-02-06 17:02:55.097294+00:00"; "2023-03-15 15:29:18.455758+00:00"; "Jupyter Notebook hosted by the Environmental Data Science Book"; ; "Jupyter notebook"; "2022-02-06 17:02:55.097294+00:00"; a , , . "POLYGON ((2.0 48.5, 2.0 59.5, -10.5 59.5, -10.5 48.5, 2.0 48.5))"; a , . "POLYGON ((0.29791066282422 51.30180180180175, 0.29791066282422 51.69819819819818, -0.521613832853009 51.69819819819818, -0.521613832853009 51.30180180180175, 0.29791066282422 51.30180180180175))"; a , . a . "POLYGON ((0.29791066282422 51.30180180180175, 0.29791066282422 51.69819819819818, -0.521613832853009 51.69819819819818, -0.521613832853009 51.30180180180175, 0.29791066282422 51.30180180180175))"; "0.29791066282422 51.30180180180175, 0.29791066282422 51.69819819819818, -0.521613832853009 51.69819819819818, -0.521613832853009 51.30180180180175, 0.29791066282422 51.30180180180175"; a . "POLYGON ((-11.924264430999758 49.70949553844358, -11.924264430999758 59.2624590495461, 2.3895263671875004 59.2624590495461, 2.3895263671875004 49.70949553844358, -11.924264430999758 49.70949553844358))"; "-11.924264430999758 49.70949553844358, -11.924264430999758 59.2624590495461, 2.3895263671875004 59.2624590495461, 2.3895263671875004 49.70949553844358, -11.924264430999758 49.70949553844358"; a . ; "44b65825-4d6a-436c-9321-8f9629534894"; "POLYGON ((2.0 48.5, 2.0 59.5, -10.5 59.5, -10.5 48.5, 2.0 48.5))"; a . ; "64fb3b95-e454-4b48-a6d7-91e008c123cb"; "POLYGON ((0.29791066282422 51.30180180180175, 0.29791066282422 51.69819819819818, -0.521613832853009 51.69819819819818, -0.521613832853009 51.30180180180175, 0.29791066282422 51.30180180180175))"; a . ; "c180ce7c-c460-4dda-805d-46de039da2db"; "POLYGON ((-11.924264430999758 49.70949553844358, -11.924264430999758 59.2624590495461, 2.3895263671875004 59.2624590495461, 2.3895263671875004 49.70949553844358, -11.924264430999758 49.70949553844358))"; a . "POLYGON ((2.0 48.5, 2.0 59.5, -10.5 59.5, -10.5 48.5, 2.0 48.5))"; "2.0 48.5, 2.0 59.5, -10.5 59.5, -10.5 48.5, 2.0 48.5"; a . dct:doi "10.5281/zenodo.7737881"; "False"; ; "2023-03-15 15:29:33.225165+00:00"; ; , , ; ; , , ; "474928"^^xsd:integer; "https://api.rohub.org/api/ros/750e4516-2748-46de-aeea-72bd5f12bc7d/crate/download/"; ; ; ; "2022-02-06 17:02:43.120909+00:00"; "2024-03-05 12:19:23.042118+00:00"; "2022-02-06 17:02:43.120909+00:00"; "The research object refers to the Met Office UKV high-resolution atmosphere model data notebook published in the Environmental Data Science book."; "application/ld+json"; , , , , ; "https://w3id.org/ro-id/750e4516-2748-46de-aeea-72bd5f12bc7d"; "Environmental Science"; ; "Jupyter Notebook"; "Met Office UKV high-resolution atmosphere model data (Jupyter Notebook) published in the Environmental Data Science book - snapshot", "Met Office UKV high-resolution atmosphere model data (Jupyter Notebook) published in the Environmental Data Science book"; ; ; "MANUAL"; , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ; , ; a , , , , ; "Samantha Adams, and Alejandro Coca-Castro. \"Met Office UKV high-resolution atmosphere model data (Jupyter Notebook) published in the Environmental Data Science book.\" ROHub. Feb 06 ,2022. https://doi.org/10.5281/zenodo.7737881." . "POLYGON ((-11.924264430999758 49.70949553844358, -11.924264430999758 59.2624590495461, 2.3895263671875004 59.2624590495461, 2.3895263671875004 49.70949553844358, -11.924264430999758 49.70949553844358))"; a , . ; "output"; a , . ; "input"; a , . ; "biblio"; a , . , , , , , ; "tool"; a , . ; "452968"^^xsd:integer; "https://api.rohub.org/api/resources/85979a78-0eba-4c8d-843d-8a4b78ad3e18/download/"; ; "2023-03-15 12:37:18.814307+00:00"; "2023-03-15 15:29:09.474858+00:00"; "image/png"; ; "urban-exploration-climate_ukv.png"; "2023-03-15 12:37:18.814307+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 . "Environmental Data Science book"; a ; "12.839248434237994"; "12.3" . "research"; a ; "13.662790697674419"; "9.4" . "aim"; a ; "9.883720930232558"; "6.8" . "meteorology and climatology"; a ; "100.0"; "0.8196640014648438" . "notebook"; a ; "13.316892725030828"; "10.8" . "Meteorological Office"; a ; "12.823674475955611"; "10.4" . "Environmental Data Science"; a ; "13.933415536374847"; "11.3" . "Met Office UKV high-resolution atmosphere model data (Jupyter Notebook) published in the Environmental Data Science book."; a ; "44.24424424424424"; "44.2" . "earth sciences"; a ; "100.0"; "0.9950044751167297" . "The research object refers to the Met Office UKV high-resolution atmosphere model data notebook published in the Environmental Data Science book."; a ; "55.75575575575575"; "55.7" . "Language"; a ; "Arts, culture and entertainment/Culture/Language" . "computer science"; a ; "64.74820143884892"; "9.0" . "geosciences"; a ; "100.0"; "0.8196640014648438" . "atmospheric sciences"; a ; "100.0"; "0.9950044751167297" . "book"; a ; "11.837237977805179"; "9.6" . "high-resolution atmosphere"; a ; "15.448851774530269"; "14.8" . "Meteorological Office"; a ; . "Book industry"; a ; "Economy, business and finance/Economic sector/Media/Book industry" . "model data"; a ; "17.32776617954071"; "16.6" . "data"; a ; "18.002466091245378"; "14.6" . "data"; a ; "21.366279069767444"; "14.7" . "notebook"; a ; "15.261627906976745"; "10.5" . "publishing"; a ; "35.251798561151084"; "4.9" . "book"; a ; "14.534883720930234"; "10.0" . "UKV"; a ; "18.37237977805179"; "14.9" . "Meteorological Office"; a ; "14.97093023255814"; "10.3" . "Literature"; a ; "Arts, culture and entertainment/Arts and entertainment/Literature" . "research object"; a ; "25.67849686847599"; "24.6" . "atmosphere"; a ; "10.319767441860465"; "7.1" . "Met Office UKV"; a ; "28.705636743215027"; "27.5" . "research"; a ; "11.713933415536376"; "9.5" . "environmental.ds.book@gmail.com"; "Environmental Data Science Book Community"; a , . "The Alan Turing Institute"; "Alejandro Coca-Castro"; a . "Met Office Informatics Lab"; "Samantha Adams"; a . "service-account-enrichment"; a . } sub:provenance { sub:assertion prov:wasDerivedFrom . } sub:pubinfo { this: dct:created "2026-03-03T15:17:22.008+01:00"^^xsd:dateTime; dct:creator ; npx:introduces ; a npx:RoCrateNanopub; rdfs:label "Met Office UKV high-resolution atmosphere model data (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 "J/5LEraAg9dO5RWbytyehFD8r/DuFVM3Bb4hF3CTT7aIE9eNijm04aJi1L5GxJJCHzDlDLpl3lxRqxXM5KgGWWAYCKkgvdZSdhTaiRjv/Si/0O48wPXmWTLwEL6TiRiaxdUk2NZoTLK50nIgz95spZEe60tb3T2UGMGjBbXC+mpDiGGCNIc4Dpodm1hzWiB7pHBYRcOeyIEPucDMWaSVBo171JRG/Iic8WoygaBKgmKJjgr9BV+Sg+zOQtX0oCSWbbAZqQgEkKHPpAM6MM6fHRGczQmmv6tU+orUb9VmxeFX3FzEfteSuUDICmamAu/gyTGRCg1pQolf78nk+Rbs9w=="; npx:hasSignatureTarget this:; npx:signedBy . }