EOSC-hub Thematic Services

This video tutorial shows how to use this simple service to create coastal forecast systems.
Access at: https://opencoasts.ncg.ingrid.pt/

OPENCoastS is an online service (https://opencoasts.ncg.ingrid.pt/) that assembles on-demand circulation forecast systems for selected coastal areas and keeps them running operationally for a period defined by the user. This service generates daily forecasts of water levels and vertically averaged velocities over the region of interest for 48 hours, based on numerical simulations of all relevant physical processes. Presently, all forecasts are made with the model SCHISM (http://ccrm.vims.edu/schismweb/) and are supported by the computational resources from INCD - Infraestrutura Nacional de Computação Distríbuida (https://www.incd.pt), a node of the EGI - European Grid Infrastructure (https://www.egi.eu). Access to the service is granted through a registration procedure, and is obtained after acceptance of the registration by the OPENCoastS user support. OPENCoastS is jointly developed and maintained by LNEC - Laboratório Nacional de Engenharia Civil (LNEC - http://www.lnec.pt), LIP - Laboratório de Instrumentação e Física Experimental de Partículas (LIP - https://www.lip.pt), CNRS-LIENS - Centre National De La Recherche Scientifique - LIttoral ENvironnement et Sociétés (CNRS-LIENS - https://lienss.univ-larochelle.fr) and Universidad de Cantabria (UC - https://web.unican.es).

This presentation give an introduction of DODAS (Dynamic On Demand Analysis Service) service, including the architecture of the service, and concrete use case examples. The training is given during VIRGO Comping School. 

This presentation introduces OPENCoastS Service, a platform to implement forecast systems for a system chosen by the user, using a browser-based, user-friendly, interface. It comes with a hand-on tutorial . These materials was used during the OPENCoast Training event at the IMUM 2018 workshop. More detailed information can be found at the service manual.

The webpage provides the basic overview of the Component MetaData Infrastructure (CMDI) service provided by CLARIN. The service provides a framework to describe and reuse metadata blueprints.
Most of the more detailed material available is geared towards end-user of the Virtual Language Observatory  (VLO):

•  Introductory leaflet: https://www.clarin.eu/sites/default/files/VLO-CLARIN-ShortGuide.pdf
• Online VLO documentation: https://vlo.clarin.eu/help
• How to use the VLO for discovering resources in a research context (video with examples): https://www.youtube.com/watch?v=_FTzaOC7Ofg
• An interactive guided tour. It can be triggered manually in the application itself or via the link: https://vlo.clarin.eu/tour
• Additional resources: https://vlo.clarin.eu/about

For developers and administrators, following documentations are provided:

• Documentation on the VLO source code repository: https://github.com/clarin-eric/VLO#table-of-contents
• Documentation on the VLO docker image repository: https://gitlab.com/CLARIN-ERIC/docker-vlo-beta#readme
• Documentation on the VLO docker compose project repository: https://gitlab.com/CLARIN-ERIC/compose_vlo#readme

For technical users of the metadata infrastructure a useful resource, although work in progress, is the best practices guide
https://www.clarin.eu/content/cmdi-best-practices-guide and its related resources.

This notebook calculates the time series extraction

This notebook calculates the time series difference

This notebook computes subsetted_map