1,720,977 research outputs found
Outputs of the Jupyter Notebook - Tree crown delineation using detectreeRGB
No full textThe dataset contains the outputs of the notebook "Tree crown detection using DeepForest" published in The Environmental Data Science Book.
Contributions
Notebook
Sebastian H. M. Hickman (author), University of Cambridge, @shmh40
Alejandro Coca-Castro (reviewer), The Alan Turing Institute, @acocac
Modelling codebase
Sebastian H. M. Hickman (author), University of Cambridge @shmh40
James G. C. Ball (contributor), University of Cambridge @PatBall1
David A. Coomes (contributor), University of Cambridge
Toby Jackson (contributor), University of Cambridg
Outputs of the Jupyter Notebook - Detecting floating objects using Deep Learning and Sentinel-2 imagery
No full textThe dataset contains the outputs of the notebook "Detecting floating objects using Deep Learning and Sentinel-2 imagery" published in the ocean modelling section of The Environmental Data Science Book.
Contributions
Notebook
Jamila Mifdal (author), European Space Agency Φ-lab, @jmifdal
Raquel Carmo (author), European Space Agency Φ-lab, @raquelcarmo
Alejandro Coca-Castro (reviewer), The Alan Turing Institute, @acocac
Modelling codebase
Jamila Mifdal (author), European Space Agency Φ-lab, @jmifdal
Raquel Carmo (author), European Space Agency Φ-lab, @raquelcarmo
Marc Rußwurm (author), EPFL-ECEO, @marccor
Detecting floating objects using deep learning and Sentinel-2 imagery (Jupyter Notebook) published in the Environmental Data Science book - snapshot
No full textThe research object refers to the Detecting floating objects using deep learning and Sentinel-2 imagery notebook published in the Environmental Data Science book.Research Object in rohub2020: https://w3id.org/ro-id/1332a0b9-94f4-4f2c-a4dc-d52e99e1d61
Met Office UKV high-resolution atmosphere model data (Jupyter Notebook) published in the Environmental Data Science book - archive
No full textThe research object refers to the Met Office UKV high-resolution atmosphere model data notebook published in the Environmental Data Science book.Research Object in rohub2020: https://w3id.org/ro-id/f66e2dcd-c7f9-4ef0-9856-34ac088be93
Met Office UKV high-resolution atmosphere model data (Jupyter Notebook) published in the Environmental Data Science book - snapshot
No full textThe research object refers to the Met Office UKV high-resolution atmosphere model data notebook published in the Environmental Data Science book.Research Object in rohub2020: https://w3id.org/ro-id/1d70f031-77a5-400f-ac81-c7714d3ba6f
MODIS MOD021KM and FIRMS (Jupyter Notebook) published in the Environmental Data Science book - snapshot
No full textThe research object refers to the MODIS MOD021KM and FIRMS notebook published in the Environmental Data Science book.Research Object in rohub2020: https://w3id.org/ro-id/07b95b7b-2492-4077-9c43-23fcbf7003b
SEVIRI Level 1.5 (Jupyter Notebook) published in the Environmental Data Science book - snapshot
No full textThe research object refers to the SEVIRI Level 1.5 notebook published in the Environmental Data Science book.Research Object in rohub2020: https://w3id.org/ro-id/0840dd87-2cb4-472f-ab81-948bba01545
Detecting floating objects using deep learning and Sentinel-2 imagery (Jupyter Notebook) published in the Environmental Data Science book - snapshot
No full textThe research object refers to the Detecting floating objects using deep learning and Sentinel-2 imagery notebook published in the Environmental Data Science book.Research Object in rohub2020: https://w3id.org/ro-id/42a5f00d-7eee-4dbe-85d6-c192fa6e135
acocac/dinoSOIL-toolbox: Version 0.1
No full textEsta versión fue desarrollada como parte de la cooperación del proyecto I+D+i entre la Subdirección de Agrología y Oficina CIAF
Outputs of the Jupyter Notebook - Met Office UKV high-resolution atmosphere model data
No full textThe dataset contains the outputs of the notebook "Met Office UKV high-resolution atmosphere model data" published in the urban sensors section of The Environmental Data Science Book.
Contributions
Notebook
Samantha V. Adams (author), Met Office Informatics Lab, @svadams
Alejandro Coca-Castro (reviewer), The Alan Turing Institute, @acocac
Dataset originator/creator
Met Office Informatics Lab (creator)
Microsoft (support)
European Regional Development Fund (support)
Dataset authors
Met Office
Dataset documentation
Theo McCaie. Met office and partners offer data and compute platform for covid-19 researchers. URL: https://medium.com/informatics-lab/met-office-and-partners-offer-data-and-compute-platform-for-covid-19-researchers-83848ac55f5f
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