@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 . ""; "Climatology"; a . ; "https://doi.org/10.1038/s41467-021-25257-4"; ; "2022-04-03 22:38:18.897063+00:00"; "2023-05-03 08:26:54.156438+00:00"; "Related publication of the modelling presented in the Jupyter notebook"; ; "Seasonal Arctic sea ice forecasting with probabilistic deep learning"; "2022-04-03 22:38:18.897063+00:00"; a dct:BibliographicResource, , . ; "https://doi.org/10.5281/zenodo.5516869"; ; "2022-04-03 22:38:16.031702+00:00"; "2023-05-03 08:26:54.318117+00:00"; "Contains input Dataset for IceNet's demo notebook used in the Jupyter notebook of Sea ice forecasting using IceNet"; ; "Input Dataset for IceNet's demo notebook"; "2022-04-03 22:38:16.031702+00:00"; a , , . ; "https://doi.org/10.5281/zenodo.6410246"; ; "2022-04-03 22:38:17.386248+00:00"; "2023-05-03 08:26:56.555156+00:00"; "Contains outputs, (table and figures), generated in the Jupyter notebook of Sea ice forecasting using IceNet"; ; "Outputs"; "2022-04-03 22:38:17.386248+00:00"; a , , . ; "https://doi.org/10.5285/71820e7d-c628-4e32-969f-464b7efb187c"; ; "2022-04-03 22:38:14.669821+00:00"; "2023-05-03 08:26:52.148233+00:00"; "Contains input Forecasts, neural networks, and results from the paper: 'Seasonal Arctic sea ice forecasting with probabilistic deep learning' used in the Jupyter notebook of Sea ice forecasting using IceNet"; ; "Input Forecasts, neural networks, and results from the paper: 'Seasonal Arctic sea ice forecasting with probabilistic deep learning'"; "2022-04-03 22:38:14.669821+00:00"; a , , . ; "https://edsbook.org/notebooks/gallery/ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef/notebook.html"; ; "2022-04-03 22:38:31.388108+00:00"; "2023-05-03 08:26:57.127411+00:00"; "Rendered version of the Jupyter Notebook hosted by the Environmental Data Science Book"; "text/html"; ; "Online rendered version of the Jupyter notebook"; "2022-04-03 22:38:31.388108+00:00"; a , , . ; "https://github.com/eds-book-gallery/ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef/blob/main/.lock/conda-linux-64.lock"; ; "2022-04-03 22:38:32.938456+00:00"; "2023-05-03 08:26:53.892321+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"; "2022-04-03 22:38:32.938456+00:00"; a , . ; "https://github.com/eds-book-gallery/ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef/blob/main/.lock/conda-osx-64.lock"; ; "2022-04-03 22:38:34.714518+00:00"; "2023-05-03 08:27:04.965556+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"; "2022-04-03 22:38:34.714518+00:00"; a , . ; "https://raw.githubusercontent.com/Environmental-DS-Book/polar-modelling-icenet/main/.binder/environment.yml"; ; "2022-04-03 22:38:36.253117+00:00"; "2023-05-03 08:26:56.897961+00:00"; "Conda environment when user want to have the same libraries installed without concerns of package versions"; ; "Conda environment"; "2022-04-03 22:38:36.253117+00:00"; a , . ; "https://raw.githubusercontent.com/eds-book-gallery/ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef/main/notebook.ipynb"; ; "2022-04-03 22:38:13.405158+00:00"; "2023-05-03 08:27:04.764615+00:00"; "Jupyter Notebook hosted by the Environmental Data Science Book"; ; "Jupyter notebook"; "2022-04-03 22:38:13.405158+00:00"; a , , ; . "2023-05-03 08:27:05.537066+00:00"; ; , ; ; "356534"^^xsd:integer; "https://api.rohub.org/api/ros/753dd373-ec1f-4cb6-902a-a573cde641d9/crate/download/"; , ; ; ; "2022-04-03 22:37:45.977506+00:00"; "2025-10-17 20:04:43.403624+00:00"; "2022-04-03 22:37:45.977506+00:00"; "The research object refers to the Sea ice forecasting using IceNet notebook published in the Environmental Data Science book."; "application/ld+json"; , , , ; "https://w3id.org/ro-id/753dd373-ec1f-4cb6-902a-a573cde641d9"; "Environmental Science"; ; "Jupyter Notebook"; "Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book - fork", "Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book nn"; ; ; "MANUAL"; , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ; a , , , , , ; prov:wasDerivedFrom ; "Alejandro Coca-Castro, Tom Andersson, and Nick Barlow. \"Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book nn.\" ROHub. Apr 03 ,2022. https://w3id.org/ro-id/753dd373-ec1f-4cb6-902a-a573cde641d9." . a . , ; "input"; a , . , , , , ; "tool"; a , . ; "biblio"; a , . , ; "output"; a , . ; "344731"^^xsd:integer; "https://api.rohub.org/api/resources/93df7a3f-cce4-4d64-9fba-8c6f93ca41bf/download/"; ; "2022-04-03 22:38:08.092594+00:00"; "2023-05-03 08:26:56.080899+00:00"; "image/png"; ; "Image showing interactive plot of IceNet seasonal forecasts of Artic sea ice according to four lead times and months in 2020"; "2022-04-03 22:38:08.092594+00:00"; a , , . dct:conformsTo ; ; a . a . "research"; a ; "13.80323054331865"; "9.4" . "ice"; a ; "11.893583724569641"; "7.6" . "notebook"; a ; "11.267605633802818"; "7.2" . "IceNet notebook"; a ; "27.243589743589745"; "25.5" . "oceanography"; a ; "100.0"; "0.28538763523101807" . "IceNet"; a ; "17.76798825256975"; "12.1" . "earth sciences"; a ; "100.0"; "0.8441352844238281" . "Environmental Data Science book nn"; a ; "15.384615384615385"; "14.4" . "sea ice"; a ; "9.546165884194053"; "6.1" . "publishing"; a ; "100.0"; "7.0" . "research object"; a ; "26.06837606837607"; "24.4" . "Book industry"; a ; "Economy, business and finance/Economic sector/Media/Book industry" . "Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book nn."; a ; "42.64264264264264"; "42.6" . "ice"; a ; "11.306901615271661"; "7.7" . "ice forecasting"; a ; "1.7094017094017095"; "1.6" . "physical geography and environmental geoscience"; a ; "100.0"; "0.8441352844238281" . "forecasting"; a ; "19.97063142437592"; "13.6" . "forecast"; a ; "20.970266040688575"; "13.4" . "research"; a ; "14.55399061032864"; "9.3" . "object"; a ; "10.719530102790015"; "7.3" . "Environmental Data Science"; a ; "15.565345080763585"; "10.6" . "notebook"; a ; "10.866372980910427"; "7.4" . "aim"; a ; "10.954616588419405"; "7.0" . "The research object refers to the Sea ice forecasting using IceNet notebook published in the Environmental Data Science book."; a ; "57.35735735735735"; "57.3" . "geosciences"; a ; "100.0"; "0.28538763523101807" . "Literature"; a ; "Arts, culture and entertainment/Arts and entertainment/Literature" . "sea ice forecasting"; a ; "29.594017094017097"; "27.7" . "book"; a ; "13.771517996870111"; "8.8" . "Language"; a ; "Arts, culture and entertainment/Culture/Language" . "ANN"; a ; "7.042253521126761"; "4.5" . "environmental.ds.book@gmail.com"; "Environmental Data Science Book Community"; a , . "The Alan Turing Institute"; "Alejandro Coca-Castro"; a . "The Alan Turing Institute"; "Nick Barlow"; a . "he British Antarctic Survey"; "Tom Andersson"; a . "service-account-enrichment"; a . } sub:provenance { sub:assertion prov:wasDerivedFrom . } sub:pubinfo { this: dct:created "2025-11-11T16:10:30.356+01:00"^^xsd:dateTime; npx:introduces ; a npx:RoCrateNanopub; rdfs:label "Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book nn" . sub:sig npx:hasAlgorithm "RSA"; npx:hasPublicKey "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEA4pPaESKwmC6l37P86K6TNLq6yeQtc7m9CvcqauLs/1FC0viHvQnFBgxj0a+loPDv/Egwe6OqFpa0iW9Ypnyz9YPoh+pxbRXonbuMOb+8Ry9hXZ+TEKfWjhjVDGEaClwfRwglh2HI/xfV4CD9AgvDOEoZQiyta8a90PYwJ3G6e70oCHTn61+OWTkI9KRYHOYgg3btdy2Z7q/30PTFawb2ZT5aIfIJYobUYv2a7yhtcqWCHZeKv0bxGnRjTFNx1rscBMlLJSzvRtpQc1cCRVEPFZHo1adaXCI9tGvn4cxeNQ96y8dxkN1XhpaJairde+23MDzf42Oe97KG2HYzKiyVnQIDAQAB"; npx:hasSignature "Aj8Tqb1Su3qKS+YW1xo6KF+JyRRzza1YhZOsMtlu6FLw2+6eEvOSZxA/qtPkD2w+whn447jSadLwOL+HzkuIAUjAtDjoE3R4H57XUsI8Ifo2gJWhGVKe5kAmz2udrALf/81bAFh/9EIbBqTPBxMadb5rS0Yb8Vd0GUt0QLWysBwKWkEMGAAC/2zViHCu0C3CXr0z/7cWI1BbT3pT4zEeDv6ZILx0zdPKyoNvI7ArcCLLA3egh5+0RiAqS51XAlyoU6GHPLQhrBxB56SoMD5IwjAzppK7XAYWRjGbqh1Ssii0dRB92coqu+R5iJ2OL83RkqX1V0/CMmmX30vwVojNTg=="; npx:hasSignatureTarget this:; npx:signedBy . }