Matches in Nanopublications for { ?s <http://schema.org/description> ?o ?g. }
- 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.
- 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.
- 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.
- 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.
- 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.
- ?dataset=87613:S1AB_interferograms_diff_unfiltered_pha description "Stack of Sentinel-1 interferograms used to generate time series of deformation by LiCSBAS method" 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.
- 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.
- c6e09345-0573-4464-b9a3-dffe7f74d68f description "Rendered version of the Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- f78fb25e-8feb-4913-ac97-7aeb2c0b234f description "Conda environment when user want to have the same libraries installed without concerns of package versions" 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-win-64.lock description "Lock conda file for win-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- conda-win-64.lock description "Lock conda file for win-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- 39cdb4f8-ac25-42c7-8263-0cab87547992 description "The research object refers to the Cosmos-UK soil moisture notebook published in the Environmental Data Science book." assertion.
- hyp.10929 description "Related publication of the exploration presented in the Jupyter notebook" assertion.
- hyp.10929 description "Related publication of the exploration presented in the Jupyter notebook" assertion.
- hess-16-4079-2012 description "Related publication of the exploration presented in the Jupyter notebook" assertion.
- hess-16-4079-2012 description "Related publication of the exploration presented in the Jupyter notebook" assertion.
- zenodo.6566942 description "Contains outputs, (table and figures), generated in the Jupyter notebook of Cosmos-UK soil moisture" assertion.
- zenodo.6566942 description "Contains outputs, (table and figures), generated in the Jupyter notebook of Cosmos-UK soil moisture" assertion.
- zenodo.6567018 description "Contains input Inputs of the Jupyter Notebook - Cosmos-UK soil moisture used in the Jupyter notebook of Cosmos-UK soil moisture" assertion.
- zenodo.6567018 description "Contains input Inputs of the Jupyter Notebook - Cosmos-UK soil moisture used in the Jupyter notebook of Cosmos-UK soil moisture" assertion.
- b5c190e4-e35d-40ea-8fbe-598da03a1185 description "Related publication of the exploration presented in the Jupyter notebook" assertion.
- b5c190e4-e35d-40ea-8fbe-598da03a1185 description "Related publication of the exploration presented in the Jupyter notebook" 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.
- 3931 description "" assertion.
- 3931 description "" assertion.
- notebook.html description "Rendered version of the Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- notebook.html description "Rendered version of the Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- bba00431-cb1c-4fc4-b90b-14cbc5edf0ac description "The research object refers to the Concatenating a gridded rainfall reanalysis dataset into a time series notebook published in the Environmental Data Science book." assertion.
- 01122d26-dc98-4afa-a139-7154be2b5d8f description "Contains input of the Jupyter Notebook - Concatenating a gridded rainfall reanalysis dataset into a time series used in the Jupyter notebook of Concatenating a gridded rainfall reanalysis dataset into a time series" assertion.
- 2a6a0b59-c02f-455c-a6e0-3e2807e1fa51 description "Rendered version of the Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- 2be46300-8aee-457c-9fe9-ef97a784eb95 description "Contains outputs, (figures), generated in the Jupyter notebook of Concatenating a gridded rainfall reanalysis dataset into a time series" assertion.
- 30bc3c57-0d6e-4bec-9db8-e8ddb232193d description "Pip requirements file containing libraries to install after conda lock" assertion.
- 9b35c1a3-7648-44e8-8578-a9e4c0dff190 description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- b847e26f-2b84-4359-a9cd-e532fb4faf50 description "Lock conda file for osx-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- c55aa9eb-29c1-4493-bfda-60c33e1434e4 description "Related publication of the exploration presented in the Jupyter notebook" assertion.
- e9132270-b334-4782-93e0-8005fd06fd7c description "Related publication of the exploration presented in the Jupyter notebook" assertion.
- f49cb3cc-a71d-4f0a-a49e-52d5a4acae19 description "Conda environment when user want to have the same libraries installed without concerns of package versions" assertion.
- a300b52e-f3e2-4d17-8d36-1251c4ade834 description "The research object refers to the Sea ice forecasting using IceNet notebook published in the Environmental Data Science book." assertion.
- 1f9f519e-d595-4299-a227-8103dad6490a description "Related publication of the modelling presented in the Jupyter notebook" assertion.
- 406c51dc-0324-4bd2-b920-f0ce81ed0633 description "Conda environment when user want to have the same libraries installed without concerns of package versions" assertion.
- 6a051ef8-2bb2-44a8-957b-6acd9f979d70 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.
- 72189c4f-f7e4-4313-9c45-994174c4f880 description "Lock conda file for osx-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- 79c19633-fc8c-49f1-aa89-7b18970c84dd description "Rendered version of the Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- 80e420f9-ae7d-4bf8-b345-851c3b8e1e1e description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- b781530e-3e00-48b2-81a9-849a09995d62 description "Contains input Dataset for IceNet's demo notebook used in the Jupyter notebook of Sea ice forecasting using IceNet" assertion.
- b8b2888e-b131-4901-9d0d-8db09790854c description "Lock conda file for linux-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- f32fb5f9-94e2-4fc8-aee8-3307152238f1 description "Contains outputs, (table and figures), generated in the Jupyter notebook of Sea ice forecasting using IceNet" assertion.
- 574facaf-90e1-488b-9e53-69a08ca03698 description "The research object refers to the Tree crown delineation using detectreeRGB notebook published in the Environmental Data Science book." assertion.
- 1b6f1300-b8f2-4ab1-90e2-0ad5d8ed192a description "Lock conda file for linux-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- 4978ed47-900d-43a3-bc70-f9dfdfc40c14 description "Contains outputs, (vector, raster and figures), generated in the Jupyter notebook of Tree crown delineation using detectreeRGB" assertion.
- 6332f84b-b1d1-41b0-8374-46add1b84908 description "Lock conda file for osx-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- 7e912635-d24c-4208-a6c7-0da8b8d8a33d description "Rendered version of the Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- 82484643-3609-43ee-9fc6-9c9a365e5fef description "Related publication of the modelling presented in the Jupyter notebook" assertion.
- 82e290e1-b2a7-4fb8-8ad3-20b2c1e0c49e description "Conda environment when user want to have the same libraries installed without concerns of package versions" assertion.
- a43eb28f-c526-4303-926c-b8cc628da320 description "Contains input Datasets of detectreeRGB AI4ER MRes Project used in the Jupyter notebook of Tree crown delineation using detectreeRGB" assertion.
- d10154e2-4e75-4dae-ba04-a497ae61eb3a description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- f6d06bd1-1e15-4b47-9a48-ec53a464b12e description "Pip requirements file containing libraries to install after conda lock" assertion.
- 0840dd87-2cb4-472f-ab81-948bba01545f description "The research object refers to the SEVIRI Level 1.5 notebook published in the Environmental Data Science book." assertion.
- 254de95f-ba8f-4d46-b0d3-cc06469791b9 description "Lock conda file for win-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- 2debaccf-be88-43a3-9977-20d4da0bda6f description "Lock conda file for osx-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- 3be38dd3-4631-4a46-9816-4fb9a2119092 description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- 5454093c-9245-4db4-bb00-dd25e665d93f description "Rendered version of the Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- 6ba6e2f1-dc98-40ad-82f9-ed83faef4e4f description "Contains input SEVIRI Level 1.5 Image Data used in the Jupyter notebook of SEVIRI Level 1.5" assertion.
- 84560f71-d119-4339-ad01-c2ef03ed3001 description "Contains input Subset of EUMESAT LSA SAF fire database wildfire locations used in the Jupyter notebook of SEVIRI Level 1.5" assertion.
- 90f5bc64-3e59-40ff-9fad-97026832f566 description "Contains outputs, (figures and tables), generated in the Jupyter notebook of SEVIRI Level 1.5" assertion.
- b40ba81d-48b2-49a3-b64d-335af15ee6b3 description "Conda environment when user want to have the same libraries installed without concerns of package versions" assertion.
- b453e436-7682-44f7-972c-a548bd06b05e description "Related publication of the sensors presented in the Jupyter notebook" assertion.
- c00d8629-0414-4ee7-8a80-b106425880e3 description "Related publication of the sensors presented in the Jupyter notebook" assertion.
- e4e9917f-06c2-4fe4-bda3-f0f998267384 description "The research object refers to the Tree crown detection using DeepForest notebook published in the Environmental Data Science book." assertion.
- 15704f3e-b8a5-4351-886f-b8aa7e40509b description "Contains input NeonTreeEvaluation RGB images used in the Jupyter notebook of Tree crown detection using DeepForest" assertion.
- 260d2b55-66b7-4508-b40e-a49e890516c6 description "Related publication(s) of the modelling presented in the Jupyter notebook" assertion.
- 276576e2-f680-44f0-a0ac-4bab5bc16f37 description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.