@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 . ""; "Ecology"; a . ; "https://doi.org/10.1016/j.ecoinf.2020.101061"; ; "2022-02-20 20:24:10.407957+00:00"; "2022-02-20 20:24:10.410412+00:00"; "Related publication(s) of the modelling presented in the Jupyter notebook"; ; "Cross-site learning in deep learning rgb tree crown detection"; "2022-02-20 20:24:10.407957+00:00"; a dct:BibliographicResource, , . ; "https://doi.org/10.1111/2041-210X.13472"; ; "2022-02-20 20:24:04.687051+00:00"; "2022-02-20 20:24:04.687616+00:00"; "Related publication(s) of the modelling presented in the Jupyter notebook"; ; "Deepforest: a python package for rgb deep learning tree crown delineation"; "2022-02-20 20:24:04.687051+00:00"; a dct:BibliographicResource, , . ; "https://doi.org/10.3390/rs11111309"; ; "2022-02-20 20:24:06.974255+00:00"; "2022-02-20 20:24:06.975774+00:00"; "Related publication(s) of the modelling presented in the Jupyter notebook"; ; "Individual tree-crown detection in rgb imagery using semi-supervised deep learning neural networks"; "2022-02-20 20:24:06.974255+00:00"; a dct:BibliographicResource, , . ; "https://doi.org/10.5281/zenodo.3459802"; ; "2022-02-20 20:23:52.295018+00:00"; "2022-02-20 20:23:52.296505+00:00"; "Contains input NeonTreeEvaluation RGB images used in the Jupyter notebook of Tree crown detection using DeepForest"; ; "Input NeonTreeEvaluation RGB images"; "2022-02-20 20:23:52.295018+00:00"; a , , . ; "https://doi.org/10.5281/zenodo.6190393"; ; "2022-02-20 20:23:58.613588+00:00"; "2022-02-20 20:23:58.614102+00:00"; "Contains outputs, (figures), generated in the Jupyter notebook of Tree crown detection using DeepForest"; ; "Outputs"; "2022-02-20 20:23:58.613588+00:00"; a , , . ; "https://edsbook.org/notebooks/gallery/15d986da-2d7c-44fb-af71-700494485def/notebook.html"; ; "2022-02-20 20:24:53.810022+00:00"; "2023-03-20 17:40:42.334822+00:00"; "Rendered version of the Jupyter Notebook hosted by the Environmental Data Science Book"; "text/html"; ; "Online rendered version of the Jupyter notebook"; "2022-02-20 20:24:53.810022+00:00"; a , , . ; "https://github.com/eds-book-gallery/15d986da-2d7c-44fb-af71-700494485def/blob/main/.lock/conda-osx-64.lock"; ; "2022-02-20 20:25:04.506153+00:00"; "2023-03-20 17:38:38.193362+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"; "2022-02-20 20:25:04.506153+00:00"; a , . ; "https://github.com/eds-book-gallery/15d986da-2d7c-44fb-af71-700494485def/blob/main/.lock/conda-win-64.lock"; ; "2022-02-20 20:25:08.199913+00:00"; "2023-03-20 17:38:59.113414+00:00"; "Lock conda file for win-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book"; ; "Lock conda file for win-64"; "2022-02-20 20:25:08.199913+00:00"; a , . ; "https://github.com/eds-book-gallery/15d986da-2d7c-44fb-af71-700494485def/blob/main/.lock/requirements.txt"; ; "2022-02-20 20:25:14.602205+00:00"; "2023-03-20 17:39:14.352202+00:00"; "Pip requirements file containing libraries to install after conda lock"; "text/plain"; ; "Pip requirements for lock conda environments"; "2022-02-20 20:25:14.602205+00:00"; a , . ; "https://raw.githubusercontent.com/eds-book-gallery/15d986da-2d7c-44fb-af71-700494485def/main/.binder/environment.yml"; ; "2022-02-20 20:25:16.997263+00:00"; "2023-03-20 17:39:29.260835+00:00"; "Conda environment when user want to have the same libraries installed without concerns of package versions"; ; "Conda environment"; "2022-02-20 20:25:16.997263+00:00"; a , . ; "https://raw.githubusercontent.com/eds-book-gallery/15d986da-2d7c-44fb-af71-700494485def/main/notebook.ipynb"; ; "2022-02-20 20:23:44.124938+00:00"; "2023-03-20 17:39:51.232539+00:00"; "Jupyter Notebook hosted by the Environmental Data Science Book"; ; "Jupyter notebook"; "2022-02-20 20:23:44.124938+00:00"; a , , ; . "POLYGON ((-80.64222780056298 37.329513160097015, -80.64222780056298 37.40231743967916, -80.54943596245721 37.40231743967916, -80.54943596245721 37.329513160097015, -80.64222780056298 37.329513160097015))"; "-80.64222780056298 37.329513160097015, -80.64222780056298 37.40231743967916, -80.54943596245721 37.40231743967916, -80.54943596245721 37.329513160097015, -80.64222780056298 37.329513160097015"; a . ; "e454a7d0-67cc-48fb-9d5d-c24ea3618c11"; "POLYGON ((-80.64222780056298 37.329513160097015, -80.64222780056298 37.40231743967916, -80.54943596245721 37.40231743967916, -80.54943596245721 37.329513160097015, -80.64222780056298 37.329513160097015))"; a . ; , ; ; ; "1878651"^^xsd:integer; "https://api.rohub.org/api/ros/15d986da-2d7c-44fb-af71-700494485def/crate/download/"; ; ; ; "2022-02-20 20:23:12.981049+00:00"; "2025-03-05 02:46:58.121376+00:00"; "2022-02-20 20:23:12.981049+00:00"; "The research object refers to the Tree crown detection using DeepForest notebook published in the Environmental Data Science book."; "application/ld+json"; , , , ; "https://w3id.org/ro-id/15d986da-2d7c-44fb-af71-700494485def"; "Environmental Science"; ; "Jupyter Notebook"; "Tree crown detection using DeepForest (Jupyter Notebook) published in the Environmental Data Science book"; ; ; "MANUAL"; ; a , , , , ; "https://w3id.org/ro-id/604a0a5f-759b-4c36-b079-72de202a55f3", "https://w3id.org/ro-id/6b5cc3e6-b4d0-43be-8cf4-8239d3948821"; "https://w3id.org/ro-id/666d0fbe-ec8d-47fb-8742-767784173c4d", "https://w3id.org/ro-id/680c4c30-044b-4f26-8169-f55441dd3ede", "https://w3id.org/ro-id/6d6b03c1-d946-4f5c-8ead-1b6f8f4dfb1c", "https://w3id.org/ro-id/8debe40e-f7a2-4d47-81e1-63d848fa5ead", "https://w3id.org/ro-id/c4123b7c-b686-45e3-835c-342e5d02a834", "https://w3id.org/ro-id/cb313ac8-7422-495e-98e2-926a16e16516", "https://w3id.org/ro-id/f3a7b6b9-7b40-4f43-9ec1-bcdbfd94e3dc"; "https://w3id.org/ro-id/5f3edb35-fea2-471a-8f2c-d063e1fe6e03", "https://w3id.org/ro-id/62689e98-5e12-40a3-a443-d2d28819145a"; "https://w3id.org/ro-id/498e13ad-f97a-4f89-ab50-20267cdfc80b", "https://w3id.org/ro-id/5667bf0a-d44e-4b94-8fff-589a505350c3", "https://w3id.org/ro-id/611aab7a-9b96-4397-991c-30f2d0d002e0", "https://w3id.org/ro-id/d05a43f1-9e1e-47af-b186-48c7cfd1d1f2"; "https://w3id.org/ro-id/579a7781-37d5-4012-9c20-16e762df49ff", "https://w3id.org/ro-id/61f7ee3b-f0dd-428f-97d5-0d89f99888af", "https://w3id.org/ro-id/8c7cf3e9-8680-4d5f-8394-bf0fe2a5b893", "https://w3id.org/ro-id/b7e2ac08-f28e-4b28-8e36-48ec131fd07b", "https://w3id.org/ro-id/cfdaa85b-f4a4-41c9-991b-1e6e941d433e", "https://w3id.org/ro-id/d50cf1ae-833e-4b5a-8623-a23a42e1d64d", "https://w3id.org/ro-id/ebc17801-b69e-4fd2-ab43-e6b510b99c05"; "https://w3id.org/ro-id/4f85da98-91c4-4aa8-9338-4fcbe0212648", "https://w3id.org/ro-id/fbdc64f9-5194-473e-8610-ac44311fd5a0"; "https://w3id.org/ro-id/2da72ab5-1713-4a1c-8355-de3bb6adf3b0", "https://w3id.org/ro-id/5e61aabb-cd7b-40cb-a342-4fc4ecf96561", "https://w3id.org/ro-id/921f7b91-643a-4d4f-8c06-a7e846753581", "https://w3id.org/ro-id/b7830bea-932c-4858-a829-df5a99dbc471", "https://w3id.org/ro-id/e79ffe69-76c0-4781-a969-167e73457fbf"; "https://w3id.org/ro-id/27e0fe5f-8cf5-4c2f-a1d3-62c858bd46f9", "https://w3id.org/ro-id/b1ed7953-aa90-4015-ae9a-6ef7846432ba"; "Alejandro Coca-Castro, and Matt Allen. \"Tree crown detection using DeepForest (Jupyter Notebook) published in the Environmental Data Science book.\" ROHub. Feb 20 ,2022. https://w3id.org/ro-id/15d986da-2d7c-44fb-af71-700494485def." . "POLYGON ((-80.64222780056298 37.329513160097015, -80.64222780056298 37.40231743967916, -80.54943596245721 37.40231743967916, -80.54943596245721 37.329513160097015, -80.64222780056298 37.329513160097015))"; a , . , ; "output"; a , . , , ; "biblio"; a , . , , , , , ; "tool"; a , . ; "input"; a , . ; "1859572"^^xsd:integer; "https://api.rohub.org/api/resources/3d52d230-90d4-441d-b33b-6c2e4577d099/download/"; ; "2022-02-20 20:23:34.300354+00:00"; "2022-02-20 20:23:34.304045+00:00"; "image/png"; ; "Image showing interactive plot of bounding boxes and predictions using the deepforest model"; "2022-02-20 20:23:34.300354+00:00"; a , , . dct:conformsTo ; ; a . "Tree crown detection using DeepForest (Jupyter Notebook) published in the Environmental Data Science book."; a ; "42.44244244244244"; "42.4" . "tree crown detection"; a ; "26.289180990899897"; "26.0" . "Book industry"; a ; "Economy, business and finance/Economic sector/Media/Book industry" . "geosciences"; a ; "100.0"; "0.4925541579723358" . "Literature"; a ; "Arts, culture and entertainment/Arts and entertainment/Literature" . "research"; a ; "12.577065351418002"; "10.2" . "DeepForest notebook"; a ; "28.51365015166835"; "28.2" . "earth sciences"; a ; "100.0"; "0.6031922698020935" . "publishing"; a ; "54.761904761904766"; "4.6" . "Language"; a ; "Arts, culture and entertainment/Culture/Language" . "detection"; a ; "17.016029593094945"; "13.8" . "geology"; a ; "100.0"; "0.6031922698020935" . "book"; a ; "15.339233038348084"; "10.4" . "aim"; a ; "17.404129793510325"; "11.8" . "botany"; a ; "45.23809523809525"; "3.8" . "detection"; a ; "19.321533923303836"; "13.1" . "tree"; a ; "11.960542540073982"; "9.7" . "trees"; a ; "13.569321533923302"; "9.2" . "research object"; a ; "30.940343781597573"; "30.6" . "The research object refers to the Tree crown detection using DeepForest notebook published in the Environmental Data Science book."; a ; "57.55755755755755"; "57.5" . "Environmental Data Science book"; a ; "12.639029322548028"; "12.5" . "notebook"; a ; "11.097410604192357"; "9.0" . "notebook"; a ; "12.241887905604722"; "8.3" . "capitulum"; a ; "8.112094395280236"; "5.5" . "object"; a ; "15.28976572133169"; "12.4" . "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 . "Plant"; a ; "Human interest/Plant" . "Environmental Data Science"; a ; "15.536374845869299"; "12.6" . "False"; ; "2023-03-20 17:41:53.164112+00:00"; ; a , . "crown detection"; a ; "1.6177957532861476"; "1.6" . "DeepForest"; a ; "16.52281134401973"; "13.4" . "research"; a ; "14.011799410029498"; "9.5" . "geophysics"; a ; "100.0"; "0.4925541579723358" . "environmental.ds.book@gmail.com"; "Environmental Data Science Book Community", "The Environmental Data Science Community"; a , . "The Alan Turing Institute"; "Alejandro Coca-Castro"; a . "Department of Geography, University of Cambridge"; "Matt Allen"; a . "service-account-enrichment"; a . } sub:provenance { sub:assertion prov:wasDerivedFrom . } sub:pubinfo { this: dct:created "2026-03-03T16:19:52.684+01:00"^^xsd:dateTime; dct:creator ; npx:introduces ; a npx:RoCrateNanopub; rdfs:label "Tree crown detection using DeepForest (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 "WzYDWxCNUV7TAnzKn5mWLInpzqcq5A1OLvHkLbPEf2CokpManlZg1FuMLRIVnEMh2WimtWBWYBgfBojhYATc1a3VOGA/LDp7O56IJAHVdVl00U+3JlYvPE2HTqr0fqqFC+sMnhbhpa99K4riCR7RHc+Y6CbdNrN7562TEYGwgcHclfwkPuljqy38+YghUa59CK0guDwpoS8Zx+Kg58zmD2zI6DiD2jkxwQwzafwqlOjydQ9jjNX1pTarAYsZ69KHcI+TpOB83ubCYzQIJ5GgujcHKZYe0bfUgVFTVycSyHv6/PIj3A5YnRDepHS0CVksb7Q5QoM1++EybseeC3rEhw=="; npx:hasSignatureTarget this:; npx:signedBy . }