Matches in Nanopublications for { ?s <http://schema.org/description> ?o ?g. }
- 4fda69d6-1b50-4c96-a1e4-7b6bf06ab12e description "description1" assertion.
- 50fa27ec-f07f-4eb5-86d7-225bff89ae86 description "desc3" assertion.
- 52aa7ec0-cb2d-4e7a-a178-ae42b9a26c9a description "desc" assertion.
- 87653312-15fe-4cb8-8e50-e08e357ddc11 description "desc6" assertion.
- 92cce42c-4aea-40fa-9487-e725fed07d27 description "desc5" assertion.
- 9c9b17a3-2f4f-42a7-aafc-9e27ad9cd362 description "desc7" assertion.
- 9f67e243-3af0-4233-98a1-474c59c8799e description "desc2" assertion.
- bbbdd03e-f69a-4aa5-9d39-84ad633ae821 description "desc3" assertion.
- e9c09afd-6f02-4de4-9165-9c6ae5b2c2a3 description "desc" assertion.
- 63b9935e-9329-4bb9-990a-e63565a02309 description "The Venice lagoon is the largest in the Mediterranean Sea with an area of approximately 550 square kilometers. The presence of man dates back to the ancient Romans times and the changes introduced in this environment over time are significant. In this man-made environment there are now a number of structures that serve different purposes. The structures have been cataloged and mapped within the Venice 2021 project to identify suitable substrates for the settlement of oysters and the maps produced are made available for further studies of fouling communities, land management, but also cultural heritage. The maps were created on satellite (Sentinel and Landsat) images from 2018 and .kmz format was chosen for its immediate possibility of viewing and use through GIS programs, but also on online maps" assertion.
- 0c2b85db-abdd-4f72-a9ed-847516d05a6d description "wood" assertion.
- 2b76b40f-5482-4c5f-8b5e-07ab528b2c9c description "wood, concrete, stone, brick, reeds" assertion.
- 7a46bdc8-2f16-4503-bc91-25804b80c1c3 description "The folder contains the maps of the briccole in place in 2018 and the stumps of the degraded briccole present below the surface of the water" assertion.
- a884b2e8-5e50-4c91-bca9-605c17e02d77 description "Concrete or stones" assertion.
- 2c803a68-bddd-4bc5-be06-38f0a5fba331 description "Location of the "piattaforma Acqua Alta" of CNR-ISMAR Metal pylons http://www.ismar.cnr.it/infrastrutture/piattaforma-acqua-alta Unit of the Meteo-Mareographic Network of the Venice Lagoon managed by the Institute for Environmental Protection (ISPRA) Concrete posts https://www.venezia.isprambiente.it/index.php?folder_id=1001&lang_id=1 SAMANET: Monitoring network of the Interregional Superintendency for Public Works for Veneto, Trentino Alto Adige and Friuli Venezia Giulia, Former Water Magistrate - Venice; Provveditorato Interregionale per le Opere Pubbliche per il Veneto, Trentino Alto Adige e Friuli Venezia Giulia, Ex Magistrato alle Acque - Venezia) http://provveditoratovenezia.mit.gov.it/pubblicazioni-antinquinamento.html Control unit of the Tide Forecasting and Reporting Center of the Municipality of Venice https://www.comune.venezia.it/content/dati-dalle-stazioni-rilevamento PS: The coordinates have been obtained from the respective sites, data of the control units can be downloaded from those pages" assertion.
- 3f4a8ac2-1f3d-4013-9193-6b66ce07524f description "Poles in groups of three used to mark navigable canals (Briccole existing in 2018)" assertion.
- 7379630f-03b1-43ae-9b65-932735019eaa description "Concrete structures that support a pole surmounted by a fiberglass balloon or made up of metal bands. They are used to signal the presence of underground services such as aqueduct, methane, telephone cables/optical fiber, electrical cables and sewers" assertion.
- 74091ad3-a04c-455e-aca6-2b4743d10d98 description "Single or group of wooden poles for mooring or other purposes" assertion.
- 8aa676a3-291c-41c7-bb24-bd9d3b848774 description "The degradation due to xylophagous organisms (gribbles and shipworms) can lead to the breaking of the poles in the water. This break generates two sections, one free to move on the surface of the water called "crocodiles", and a stump that remains stuck in the sediment called "Piranha". Bboth constitute a danger for navigation. The situation is that obtained from satellite images (Sentinel and Landsat) in 2018" assertion.
- e15e6bf9-0943-4a23-ad2a-ba32764c9cfa description "Facilities related to fishing and hunting activities" assertion.
- 5269 description "" assertion.
- Grided_Data_Download.html description "Webpage containing information about Temperature and Rainfall data from the India Meteorological Department: 1) Daily Gridded Rainfall Data Set Over India New High Spatial Resolution (0.25X0.25 degree) Long Period (1901-2021); 2) Daily minimum and maximum temperature data (1X1 degree) Long period (1951-2020)" assertion.
- IMD_temperature-rolling-mean.ipynb description "This jupyter notebook uses a rolling mean to show the trend in maximum temperature timeseries from the India Meteorological Department." assertion.
- Rainfall.ipynb description "This jupyter notebook shows how to read and analyze Rainfall timeseries from the India Meteorological Department." assertion.
- Tmax.ipynb description "This jupyter notebook shows how to read and analyze maximum temperature timeseries from the India Meteorological Department." assertion.
- Tmin.ipynb description "This jupyter notebook shows how to read and analyze minimum timeseries from the India Meteorological Department." assertion.
- Copernicus-Land-analysis.ipynb description "Demonstrate the usage of Copernicus Land NDVI product to assess the changes in the presence of live green vegetation over the region of Mumbai. Methodology approach - Use NDVI data from the Copernicus Global Land Service portal (https://land.copernicus.vgt.vito.be/PDF/portal/Application.html) - Visualize NDVI monthly statistics (long term statistics between 1999 - 2019 and short term statistics 2015-2019 Select a single point and compare NDVI from 2021 with NDVI long term statistics" assertion.
- 6942229f-fba8-415d-a326-0ae5fd6360da description "The project aims at establishing the trends of temperature , precipitation and air currents over the city of Mumbai. This will lead to establishment of concrete analysis of Climate Change on a 'local' basis and would help establish a suitable action plan." assertion.
- cesm-b1850-f19g17 description "This Galaxy history contains all the inputs and generated outputs for this CESM example. If you have an account on Galaxy Europe (if not you can open one), you can import this history and reuse it." assertion.
- display?to_ext=data&hdca_id=8ca88ef64f587a1e&element_identifier=plot description "Plot showing the reference height temperature (Kelvin) for 0001-02-01 00:00:00" assertion.
- display?to_ext=tar description "Tar file containing all the input datasets for running the Community Earth System Modelling in fully coupled mode B1850 f17_g19." assertion.
- display?to_ext=data&hdca_id=bb750a5908336204&element_identifier=atm_log.txt description "Collection containing the logfile for the atmosphere compoment." assertion.
- display?to_ext=txt description "Customized user namelist for CAM restart (atmosphere component) to create history files and restart files at the end of the run." assertion.
- display?to_ext=netcdf description "History file (1 month) for the atmosphere component (CAM)." assertion.
- repository?repository_id=7aa3cab2c60dddc0&changeset_revision=7a7ba86e95a4 description "Link to the Galaxy Tool shed for CESM Galaxy Tool repository. This repository is useful whenever you want to install CESM Galaxy Tool in your own Galaxy instance. The version used in this example is revision: 7a7ba86e95a4" assertion.
- diagram?version=1 description "Abstract CWL Automatically generated from the Galaxy workflow file: Workflow constructed from history CESM B1850 f19_g17" assertion.
- www.cesm.ucar.edu description "General webpage where the documentation for the Community Earth System Model is available." assertion.
- CESM description "This github repository contains all the versions of the Community Earth System Model (CESM)." assertion.
- 364 description "This is a link to Workflow Research Object stored in workflowhub.eu. It contains a Galaxy workflow (.ga), abstract CWL (.cwl) and diagram (.png)." assertion.
- f99a5c78-6e3d-44a6-a283-3a61e46e249b description "This Research Object aggregates all the resources needed for running a fully coupled CESM B1850 f19_g17 on Galaxy using the CESM Galaxy Tool. i) Examples of input datasets needed for running CESM B1850 f17_g19 on Galaxy; ii) Galaxy Workflow (.ga) and corresponding CWL abstract and diagram; iii) Link to a published Galaxy history." assertion.
- 478eb171-62b1-4ca8-9b62-e8528a838e05 description "Folder containing all the logfiles." assertion.
- 409b98bf-c76d-4d96-a814-1cbc0a3171e3 description "CAMS European air quality forecasts: NO2 - time range: 2022-05-29T23:00:00Z/2018-07-12T00:00:00Z - min/max Value: 0/0 - DataType: Float32 - Resolution: 0 -" assertion.
- cab8eaeb-e22d-4fc7-9999-180d0e179a98 description "CAMS European air quality forecasts: NO2 - time range: 2022-05-29T23:00:00Z/2018-07-12T00:00:00Z - min/max Value: 0/0 - DataType: Float32 - Resolution: 0 -" assertion.
- pangeo_CMIP6_masked_and_weighted_average description "This is the rendered Jupyter notebook" assertion.
- 03dc6999-4799-4739-b184-0a9d11c50aa4 description "This jupyter notebook demonstrates the usage of masks and shows how to compute a weighted average with Pangeo CMIP6 data" assertion.
- 515d1476-eba5-4698-907d-9bc6edc191b2 description "Plot of the global weighted average and unweighted average." assertion.
- masked_and_weighted_average.ipynb description "upyter notebook demonstrating the usage of masks and computing weighted average with Pangeo CMIP6 data." assertion.
- CAMS-PM2_5-fc-20211224.png description "Jupyter Notebook showing Copernicus Monitoring Service PM2.5 forecasts 24th December 2021 at 12:00 UTC." assertion.
- c3aa751b-c32d-48d2-b781-0ab44bedc252 description "This [tutorial](https://training.galaxyproject.org/training-material/topics/climate/tutorials/pangeo-notebook/tutorial.html) is from the Galaxy Training Network. In this tutorial, we will learn about Xarray, one of the most used Python library from the Pangeo ecosystem. We will be using data from Copernicus Atmosphere Monitoring Service and more precisely PM2.5 (Particle Matter < 2.5 μm) 4 days forecast from December, 22 2021. Parallel data analysis with Pangeo is not covered in this tutorial." assertion.
- climate-pangeo-notebook.ipynb description "In this tutorial, we will learn about Xarray, one of the most used Python library from the Pangeo ecosystem" assertion.
- 192c3541-b61d-4e21-80d5-691d667b44cb description "This Research Object demonstrates how to use CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services and compute monthly map of NO2 over a given geographical area, here Spain" assertion.
- 0ba03959-692a-42fc-a073-cb2d5e21328e description "Conda environment used on EGI notebook on 27/05/2022" assertion.
- 11d2f3de-d2f1-4584-a0fb-a2b4cd3d1ae7 description "Conda environment generated with conda-lock for linux-64" assertion.
- 142a28a6-8f93-4307-a216-9e31b413598b description "Conda environment generated with conda-lock for osx-64" assertion.
- 1f385594-7bdd-4b98-88bf-4469e7584f90 description "Monthly average maps of CAMS Nitrogen Dioxide [µg m-3] over Spain in 2019, 2020 and 2021" assertion.
- 4e8ee688-dd76-4faa-a088-028fe709bd37 description "This Research Object demonstrates how to use CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services and compute monthly map of NO2 over a given geographical area, here Spain" assertion.
- b27ea2c2-4d7d-4a61-b25b-8674d1abc30c description "Conda environment generated with conda-lock for linux-64" assertion.
- cba6183d-3163-4254-8c11-f973b6b11e7d description "Monthly average maps of CAMS Nitrogen Dioxide [µg m-3] over Spain in 2019, 2020 and 2021" assertion.
- e90c6d17-54b2-47b7-ae75-f0cf7d297b09 description "Conda environment used on EGI notebook on 27/05/2022" assertion.
- fa1d2782-8c89-4630-b244-466e03a560a0 description "Conda environment generated with conda-lock for osx-64" assertion.
- ef5953b8-d6b7-47a2-b115-929ac8179864 description "This Research Object demonstrates how to use CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services and compute monthly map of NO2 over a given geographical area, here Spain" assertion.
- 188552de-76b7-4676-8f24-2aa88950c349 description "Monthly average maps of CAMS Nitrogen Dioxide [µg m-3] over Spain in 2019, 2020 and 2021" assertion.
- a825aac5-caf2-42bb-ac4d-d8bef3954f71 description "This is a first test of Research Object (RO) to foster reproducible research." assertion.
- 6484f9aa-e4b4-4ef0-b312-2d75224d6447 description "Research object created for the TPDL 2022 Conference." assertion.
- zenodo.5494629 description "Contains input Datasets of detectreeRGB AI4ER MRes Project used in the Jupyter notebook of Tree crown delineation using detectreeRGB" assertion.
- zenodo.5494629 description "Contains input Datasets of detectreeRGB AI4ER MRes Project used in the Jupyter notebook of Tree crown delineation using detectreeRGB" assertion.
- zenodo.6387953 description "Contains outputs, (vector, raster and figures), generated in the Jupyter notebook of Tree crown delineation using detectreeRGB" assertion.
- zenodo.6387953 description "Contains outputs, (vector, raster and figures), generated in the Jupyter notebook of Tree crown delineation using detectreeRGB" assertion.
- forest-modelling-treecrown_detectreergb description "Rendered version of the Jupyter Notebook hosted by the Environmental Data Science Book." assertion.
- 6bc62582-2f11-4983-a51c-0af32459eca6 description "The research object refers to the Tree crown delineation using detectreeRGB notebook published in the Environmental Data Science book. Purpose: Accurately delineating trees using detectron2, a library that provides state-of-the-art deep learning detection and segmentation algorithms. Modelling approach: An established deep learning model, Mask R-CNN was deployed from detectron2 library to delineate tree crowns accurately. A pre-trained model, named detectreeRGB, is provided to predict the location and extent of tree crowns from a top-down RGB image, captured by drone, aircraft or satellite. detectreeRGB was implemented in python 3.8 using pytorch v1.7.1 and detectron2 v0.5. Further details can be found in the repository documentation. Highlights: detectreeRGB advances the state-of-the-art in tree identification from RGB images by delineating exactly the extent of the tree crown. We demonstrate how to apply the pretrained model to a sample image fetched from a Zenodo repository. Our pre-trained model was developed using aircraft images of tropical forests in Malaysia. The model can be further trained using the user’s own images" 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.
- environment.yml description "Conda environment when user want to have the same libraries installed without concerns of package versions" assertion.
- requirements.txt description "Pip requirements file containing libraries to install after conda lock" assertion.
- forest-modelling-treecrown_detectreeRGB.ipynb description "Jupyter Notebook hosted by the Environmental Data Science Book." assertion.
- detectreeRGB description "Related publication of the modelling presented in the Jupyter notebook" assertion.
- detectreeRGB description "Related publication of the modelling presented in the Jupyter notebook" assertion.
- 435f534c-e49b-43c3-9bd6-3393100bef3f description "The research object refers to the Cosmos-UK soil moisture notebook published in the Environmental Data Science book." assertion.
- 261f85b0-1ba1-4d27-8a42-df2816937f1e description "This Research Object contains the raster file of the mean ground velocity at the Changbaishan Volcano (China/North Korea) from ALOS-2 satellite data during 2018-2020. Find more on processing and results in the related paper: 'Upward Magma Migration within the Multi-level Plumbing System of the Changbaishan Volcano (China/North Korea) Revealed by the Modeling of 2018-2020 SAR Data' by E. Trasatti, C. Tolomei, L. Wei, G. Ventura. DOI: 10.3389/feart.2021.741287 . Raw data property of JAXA (Japan)." assertion.
- a85a68d9-862c-4ebf-aa8f-1fa433753d9a description "A collection of resources related to the paper Titti G, Sarretta A, Lombardo L, Crema S, Pasuto A and Borgatti L (2022) Mapping Susceptibility With Open-Source Tools: A New Plugin for QGIS. Front. Earth Sci. 10:842425. doi: 10.3389/feart.2022.842425" assertion.
- zenodo.5693351 description "Software code archived in Zenodo" assertion.
- SZ description "GitHub repository for the Susceptibility Zoning plugin (SZ)" assertion.
- 8ec6ee87-e121-4397-889e-4bab27255509 description "First observation by ROV of deep coral biodiversity (Cold-water corals) in the unexplored submarine canyons of the Bremer System." assertion.
- 7407i2444l6p705u84397342_dbdffkih8o9227s1q23vu05ac4e0e399 description "Shape file with targets detected from bathymetry" assertion.
- share.cgi?ssid=ccf2ae1e2ec14a848b8607fc268d8bea description "Bathymetric data from Sacca Fisola 2021 survey" assertion.
- overview?7bc38514-796e-47e6-81cb-b8f91247a854&activetab=overview description "Track of a net from water coloumn data" assertion.
- overview?f8a252e5-47da-410b-9096-526bc50d19a3&activetab=overview description "calculates the sink velocity of a net floating in water starting from water column data" assertion.
- 9e5d1919-6462-41e1-a4ad-b9e1140925ca description "A dedicated workflow in ArcGIS was developed to identify targets from the bathymetry" assertion.
- 3884c631-75de-4892-b2e5-067980f757ca description "Data input" assertion.
- b7cc35fd-8f74-497a-bf1d-ca5d7edd9d93 description "Here some results" assertion.
- bd35cb46-8889-4c77-b4eb-ce421c2b2790 description "It contains Jupyter notebook" assertion.
- feb63870-7fa3-47e9-9d7c-50ea645958d8 description "Related documents and resources" assertion.
- 60e846ed6dfebc0806c823a6 description "Copernicus Atmosphere Monitoring Service" assertion.
- 3edc769dc3382307c6649f82cc9ef9cdchc2d0 description "Geojson file used for retrieving data from the ADAM platform over Spain" assertion.
- 546a50cfb3f6e0c64c067b3d7af79cf2ch2b4a description "Daily average maps of CAMS Nitrogen Dioxideµg m-3] over Spain on April 15, 2021" assertion.
- 55a555fcb1d8a480405fc1d3618a6e7ech88c1 description "Monthly average maps of CAMS Nitrogen Dioxide [µg m-3] over Spain in 2019, 2020 and 2021" assertion.
- 6e08d114f88622a14d01b8b29b180accch183d description "This dataset is a data-Cube retrieved from the ADAM platform over Spain in April 2019" assertion.
- 7a5b1d8369dbb09ea444c09eaff53771ch7101 description "This dataset is a data-Cube retrieved from the ADAM platform over Spain in April 2021" assertion.
- 8bea2c8acfcd7b49c811da980e5f4aa3ch479d description "This dataset is a data-Cube retrieved from the ADAM platform over Spain in April 2020" assertion.
- d0db13cc6a4898930516a24eb1563cb1ch13bb description "netCDF data corresponding to daily average of CAMS Nitrogen Dioxide [µg m-3] over Spain for April 2019, April 2020 and April 2021" assertion.
%2C%20abstract%20CWL%20(.cwl)%20and%20diagram%20(.png).%22){kind=link}
