Matches in Nanopublications for { ?s <http://schema.org/description> ?o ?g. }
- zenodo.6410246 description "Contains outputs, (table and figures), generated in the Jupyter notebook of Sea ice forecasting using IceNet" assertion.
- zenodo.6410246 description "Contains outputs, (table and figures), generated in the Jupyter notebook of Sea ice forecasting using IceNet" assertion.
- zenodo.6410246 description "Contains outputs, (table and figures), generated in the Jupyter notebook of Sea ice forecasting using IceNet" assertion.
- zenodo.6410246 description "Contains outputs, (table and figures), generated in the Jupyter notebook of Sea ice forecasting using IceNet" assertion.
- zenodo.6410246 description "Contains outputs, (table and figures), generated in the Jupyter notebook of Sea ice forecasting using IceNet" assertion.
- zenodo.6410246 description "Contains outputs, (table and figures), generated in the Jupyter notebook of Sea ice forecasting using IceNet" assertion.
- zenodo.6410246 description "Contains outputs, (table and figures), generated in the Jupyter notebook of Sea ice forecasting using IceNet" assertion.
- zenodo.6410246 description "Contains outputs, (table and figures), generated in the Jupyter notebook of Sea ice forecasting using IceNet" assertion.
- zenodo.6410246 description "Contains outputs, (table and figures), generated in the Jupyter notebook of Sea ice forecasting using IceNet" assertion.
- zenodo.6410246 description "Contains outputs, (table and figures), generated in the Jupyter notebook of Sea ice forecasting using IceNet" assertion.
- zenodo.6410246 description "Contains outputs, (table and figures), generated in the Jupyter notebook of Sea ice forecasting using IceNet" assertion.
- zenodo.6410246 description "Contains outputs, (table and figures), generated in the Jupyter notebook of Sea ice forecasting using IceNet" assertion.
- zenodo.6410246 description "Contains outputs, (table and figures), generated in the Jupyter notebook of Sea ice forecasting using IceNet." assertion.
- zenodo.6410246 description "Contains outputs, (table and figures), generated in the Jupyter notebook of Sea ice forecasting using IceNet." assertion.
- 71820e7d-c628-4e32-969f-464b7efb187c description "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" assertion.
- 71820e7d-c628-4e32-969f-464b7efb187c description "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" assertion.
- 71820e7d-c628-4e32-969f-464b7efb187c description "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" assertion.
- 71820e7d-c628-4e32-969f-464b7efb187c description "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" assertion.
- 71820e7d-c628-4e32-969f-464b7efb187c description "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" assertion.
- 71820e7d-c628-4e32-969f-464b7efb187c description "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" assertion.
- 71820e7d-c628-4e32-969f-464b7efb187c description "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" assertion.
- 71820e7d-c628-4e32-969f-464b7efb187c description "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" assertion.
- 71820e7d-c628-4e32-969f-464b7efb187c description "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" assertion.
- 71820e7d-c628-4e32-969f-464b7efb187c description "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" assertion.
- 71820e7d-c628-4e32-969f-464b7efb187c description "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" assertion.
- 71820e7d-c628-4e32-969f-464b7efb187c description "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" assertion.
- 71820e7d-c628-4e32-969f-464b7efb187c description "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." assertion.
- 71820e7d-c628-4e32-969f-464b7efb187c description "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." assertion.
- environment.yml description "Conda environment when user want to have the same libraries installed without concerns of package versions" assertion.
- environment.yml description "Conda environment when user want to have the same libraries installed without concerns of package versions" assertion.
- environment.yml description "Conda environment when user want to have the same libraries installed without concerns of package versions" assertion.
- environment.yml description "Conda environment when user want to have the same libraries installed without concerns of package versions" assertion.
- environment.yml description "Conda environment when user want to have the same libraries installed without concerns of package versions" assertion.
- environment.yml description "Conda environment when user want to have the same libraries installed without concerns of package versions" assertion.
- environment.yml description "Conda environment when user want to have the same libraries installed without concerns of package versions" assertion.
- environment.yml description "Conda environment when user want to have the same libraries installed without concerns of package versions" assertion.
- environment.yml description "Conda environment when user want to have the same libraries installed without concerns of package versions" assertion.
- environment.yml description "Conda environment when user want to have the same libraries installed without concerns of package versions" assertion.
- environment.yml description "Conda environment when user want to have the same libraries installed without concerns of package versions" assertion.
- environment.yml description "Conda environment when user want to have the same libraries installed without concerns of package versions" assertion.
- notebook.ipynb description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- notebook.ipynb description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- notebook.ipynb description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- notebook.ipynb description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- notebook.ipynb description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- notebook.ipynb description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- notebook.ipynb description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- notebook.ipynb description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- notebook.ipynb description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- notebook.ipynb description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- notebook.ipynb description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- notebook.ipynb description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- conda-linux-64.lock description "Lock conda file for linux-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- conda-linux-64.lock description "Lock conda file for linux-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- conda-linux-64.lock description "Lock conda file for linux-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- conda-linux-64.lock description "Lock conda file for linux-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- conda-linux-64.lock description "Lock conda file for linux-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- conda-linux-64.lock description "Lock conda file for linux-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- conda-linux-64.lock description "Lock conda file for linux-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- conda-linux-64.lock description "Lock conda file for linux-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- conda-osx-64.lock description "Lock conda file for osx-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- conda-osx-64.lock description "Lock conda file for osx-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- conda-osx-64.lock description "Lock conda file for osx-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- conda-osx-64.lock description "Lock conda file for osx-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- conda-osx-64.lock description "Lock conda file for osx-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- conda-osx-64.lock description "Lock conda file for osx-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- conda-osx-64.lock description "Lock conda file for osx-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- conda-osx-64.lock description "Lock conda file for osx-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- c6920d3d-4c92-4a3e-8569-4c12c5015adb description "The research object refers to the Sea ice forecasting using IceNet notebook published in the Environmental Data Science book." assertion.
- c6920d3d-4c92-4a3e-8569-4c12c5015adb description "The research object refers to the Sea ice forecasting using IceNet notebook published in the Environmental Data Science book." assertion.
- c6920d3d-4c92-4a3e-8569-4c12c5015adb description "The research object refers to the Sea ice forecasting using IceNet notebook published in the Environmental Data Science book. " assertion.
- c6920d3d-4c92-4a3e-8569-4c12c5015adb description "The research object refers to the Sea ice forecasting using IceNet notebook published in the Environmental Data Science book. " assertion.
- 813ac793-f4ba-46d1-9d5e-6552227de7a0 description "In this repository, the Global Water Watch algorithm is translated to OpenEO using their python API and user defined functions. Global Water Watch is a project that uses Earth Observation data from many different sources to obtain water availability for surface waterbodies globally through time. Tracking water availability of surface waters globally can help detect droughts early." assertion.
- 813ac793-f4ba-46d1-9d5e-6552227de7a0 description "In this repository, the Global Water Watch algorithm is translated to OpenEO using their python API and user defined functions. Global Water Watch is a project that uses Earth Observation data from many different sources to obtain water availability for surface waterbodies globally through time. Tracking water availability of surface waters globally can help detect droughts early." assertion.
- f503fc7e-9e64-40d7-8d35-490a2b358bc3 description "C-SCALE workflow solutions are intended to give users a template and reusable components to start building monitoring, modelling and forecasting applications Easily deploy a workflow that produces a monthly high resolution, ensemble river discharge forecast for a river basin of interest. This workflow produces a monthly high resolution, ensemble river discharge forecast for a river basin of interest. It build upon locally developed tools, and combines these in a workflow that is deployed in the cloud. The workflow uses the global ERA5 re-analysis product and SEAS5 seasonal meteorological forecasts from the Copernicus Climate Data Store as input for the wflow_sbm hydrological model. The input data is automatically downloaded for the model domain, resampled to the required model grid, and runs a 50-member ensemble forecast simulation. This workflow is triggered every month when new SEAS5 forecasts become available." assertion.
- f503fc7e-9e64-40d7-8d35-490a2b358bc3 description "C-SCALE workflow solutions are intended to give users a template and reusable components to start building monitoring, modelling and forecasting applications Easily deploy a workflow that produces a monthly high resolution, ensemble river discharge forecast for a river basin of interest. This workflow produces a monthly high resolution, ensemble river discharge forecast for a river basin of interest. It build upon locally developed tools, and combines these in a workflow that is deployed in the cloud. The workflow uses the global ERA5 re-analysis product and SEAS5 seasonal meteorological forecasts from the Copernicus Climate Data Store as input for the wflow_sbm hydrological model. The input data is automatically downloaded for the model domain, resampled to the required model grid, and runs a 50-member ensemble forecast simulation. This workflow is triggered every month when new SEAS5 forecasts become available." assertion.
- 56c970ea-ef0c-4963-845e-1155bad0682a description "C-SCALE workflow solutions are intended to give users a template and reusable components to start building monitoring, modelling and forecasting applications With the coastal hydrodynamic and water quality modelling workflow solution a user can easily produce hydrodynamic and water quality hindcasts or forecasts for the coastal ocean for a Delft3D FM model schematisation. The workflow solution has the following functionality: - Download the necessary input data for the user's Delft3D Flexible Mesh model setup. Input data include Copernicus' Global Ocean Physics Reanalysis and Global ocean biogeochemistry hindcast, ERA5 and FES2012. - Prepare the data for ingestion into the user's Delft 3D Flexible Mesh hydrodynamic and water quality model. This entails the preparation of forcings, initial conditions, and boundary condiditons. - Produce hydrodynamic and water quality hindcasts or forcasts based on the user's Delft3D Flexible Mesh hydrodynamic and water quality model setups. - Analyse the simulation outputs in an interactive Jupyter Notebook. The workflow is executed using Snakemake, a workflow management system for creating and executing reproducible and scalable data analyses. The workflow solution can be deployed on any provider part of the C-SCALE data and compute federation offering cloud container compute." assertion.
- 56c970ea-ef0c-4963-845e-1155bad0682a description "C-SCALE workflow solutions are intended to give users a template and reusable components to start building monitoring, modelling and forecasting applications With the coastal hydrodynamic and water quality modelling workflow solution a user can easily produce hydrodynamic and water quality hindcasts or forecasts for the coastal ocean for a Delft3D FM model schematisation. The workflow solution has the following functionality: - Download the necessary input data for the user's Delft3D Flexible Mesh model setup. Input data include Copernicus' Global Ocean Physics Reanalysis and Global ocean biogeochemistry hindcast, ERA5 and FES2012. - Prepare the data for ingestion into the user's Delft 3D Flexible Mesh hydrodynamic and water quality model. This entails the preparation of forcings, initial conditions, and boundary condiditons. - Produce hydrodynamic and water quality hindcasts or forcasts based on the user's Delft3D Flexible Mesh hydrodynamic and water quality model setups. - Analyse the simulation outputs in an interactive Jupyter Notebook. The workflow is executed using Snakemake, a workflow management system for creating and executing reproducible and scalable data analyses. The workflow solution can be deployed on any provider part of the C-SCALE data and compute federation offering cloud container compute." assertion.
- bf39cd09-14d8-4a9c-8d52-d50ef322ab4c description "With this notebook a user can easily deploy a workflow that produces satellite derived land surface changes for a geographic area of interest. The resultant output of the workflow visualises where surface water has become land (due to accretion, land reclamation, droughts) or vice versa where land has become surface water (due to erosion, reservoir construction). The service is based on the paper by Donchyts et al. (2016): "Earth's surface water change over the past 30 years". More information about the application can be found at https://www.deltares.nl/en/software/aqua-monitor/. And a Google Earth Engine implementation of the application can be found at https://aqua-monitor.appspot.com/" assertion.
- bf39cd09-14d8-4a9c-8d52-d50ef322ab4c description "With this notebook a user can easily deploy a workflow that produces satellite derived land surface changes for a geographic area of interest. The resultant output of the workflow visualises where surface water has become land (due to accretion, land reclamation, droughts) or vice versa where land has become surface water (due to erosion, reservoir construction). The service is based on the paper by Donchyts et al. (2016): "Earth's surface water change over the past 30 years". More information about the application can be found at https://www.deltares.nl/en/software/aqua-monitor/. And a Google Earth Engine implementation of the application can be found at https://aqua-monitor.appspot.com/" assertion.
- ?dataset=87613:S1AB_interferograms_diff_unfiltered_pha description "Stack of Sentinel-1 interferograms used to generate time series of deformation by LiCSBAS method" assertion.
- ?dataset=87613:S1AB_interferograms_diff_unfiltered_pha description "Stack of Sentinel-1 interferograms used to generate time series of deformation by LiCSBAS method" assertion.
- 293a5412-d1de-4c2e-9d51-6e467d08e493 description "This is a preliminary output of multi-temporal InSAR application based on LiCSBAS method and Sentinel-1 data" assertion.
- 293a5412-d1de-4c2e-9d51-6e467d08e493 description "This is a preliminary output of multi-temporal InSAR application based on LiCSBAS method and Sentinel-1 data" assertion.
- e6b17268-f2db-4e36-9fbe-b626f17e8c42 description "This file is a structured h5 file, containing all the results obtained by InSAR processing" assertion.
- e6b17268-f2db-4e36-9fbe-b626f17e8c42 description "This file is a structured h5 file, containing all the results obtained by InSAR processing" assertion.
- f02dc7aa-2824-4adf-8711-16dcb28ecaa1 description "As a result of climate change, extreme droughts are expected to occur more often in the Netherlands, potentially causing social distress and huge economic damages. The WUNDER project will develop an integrated modeling system for understanding the behavior of soil and vegetation during prolonged drought events. The system will enable to explore scenarios and evaluate strategies for managing, planning and adapting agriculture and nature systems to extreme droughts. The project will actively engage with farmers, water managers and other decision makers and develop practical use cases for daily drought monitoring and prediction, thereby supporting climate-robust production systems and water management." assertion.
- f02dc7aa-2824-4adf-8711-16dcb28ecaa1 description "As a result of climate change, extreme droughts are expected to occur more often in the Netherlands, potentially causing social distress and huge economic damages. The WUNDER project will develop an integrated modeling system for understanding the behavior of soil and vegetation during prolonged drought events. The system will enable to explore scenarios and evaluate strategies for managing, planning and adapting agriculture and nature systems to extreme droughts. The project will actively engage with farmers, water managers and other decision makers and develop practical use cases for daily drought monitoring and prediction, thereby supporting climate-robust production systems and water management." assertion.
- 3939a208-64fc-4800-8b29-6a97676c7508 description "Data cube Research Object for CAMS European air quality forecasts" assertion.
- 3939a208-64fc-4800-8b29-6a97676c7508 description "Data cube Research Object for CAMS European air quality forecasts" assertion.
- 16b9c078-a01d-4f14-8268-4c40cfe9d467 description "The research object refers to the Exploring Land Cover Data (Impact Observatory) notebook published in the Environmental Data Science book." assertion.
- 16b9c078-a01d-4f14-8268-4c40cfe9d467 description "The research object refers to the Exploring Land Cover Data (Impact Observatory) notebook published in the Environmental Data Science book." assertion.
- 61180388-7eca-4c96-b018-18b3b2d6305f description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- 628ef451-b54d-42df-b6fb-8ec7458bf00e description "Lock conda file for win-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- 713dd72a-d153-4d8f-9952-41e0a3740baf description "Related publication of the exploration presented in the Jupyter notebook" assertion.
- 794efd38-b2c5-41ed-a43a-0be68e397026 description "Lock conda file for linux-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- 8aed4478-4fde-419c-8da8-af28b0a2d8e9 description "Contains outputs, (figures and tables), generated in the Jupyter notebook of Exploring Land Cover Data (Impact Observatory)" assertion.
- a390252e-2849-40b9-92ca-6439c524b8c4 description "Related publication of the exploration presented in the Jupyter notebook" assertion.
- a45b3b58-d4c1-4d4e-ae3f-e0995acd0432 description "Lock conda file for osx-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- b1746c0e-0766-4c2e-893e-bb4787effdc3 description "Contains input of the Jupyter Notebook - Exploring Land Cover Data (Impact Observatory) used in the Jupyter notebook of Exploring Land Cover Data (Impact Observatory)" assertion.