ENES Climate Analytics Service

The ENES Climate Analytics Service (ECAS) is a server-side processing service which offers a virtual work environment based on Jupyter notebooks, allowing users to process and analyse data from multiple disciplines using Python. Support for fast computations is provided via the Ophidia HPDA framework. ECAS enables scientific end-users to perform data analysis experiments on large volumes of multidimensional data by exploiting a server-side, PID-enabled, and parallel approach and aiming to improve the reusability of data and workflows (FAIR approach).

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Basic Information

Description: Basic Information

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Resource Organisation CMCC Foundation
Resource Provider https://data.d4science.org/ctlg/EOSCPillarITServiceRegistry/cmcc_foundation
Webpage https://ecaslab.cmcc.it/web/home.html
Marketing Information

Description: Marketing Information

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Logo https://ophidialab.cmcc.it/web/img/ecas_logo.png
Tagline Scientific data analytics environment to perform data analysis experiments on large volumes of multidimensional data
Use Case https://ecaslab.cmcc.it/web/notebooks.html
Classification Information

Description: Classification Information

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Access Mode Free
Access Type Virtual
Category Compute
Category Data Analysis
Category Data
Category Data Management
Scientific Domain Natural Sciences
Scientific Subdomain Natural Sciences.Earth and related environmental sciences
Subcategory Compute.Other
Subcategory Data.Scientific/Research data
Subcategory Data Management.Persistent Identifier
Subcategory Data Management.Access
Subcategory Data Analysis.Visualization
Subcategory Data Analysis.Data extrapolation
Subcategory Data Analysis.Image/data analysis
Subcategory Data Analysis.Workflows
Target User Researchers
Target User Researcher groups
Target User Research communities
Target User Research projects
Location Information

Description: Location Information

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Resource Geographic Location Italy (IT)
Contact Information

Description: Contact Information

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Helpdesk Email [email protected]
Main Contact Email [email protected]
Main Contact Name Alessandro D'Anca
Main Contact Organisation CMCC ASC Division
Main Contact Position Head of the Data Science Research Unit
Public Contact Email [email protected]
Security Contact Email [email protected]
Maturity Information

Description: Maturity Information

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Life Cycle Status Production
Technology Readiness Level TRL8 System complete and qualified
Availability Information

Description: Availability Information

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Geographical Availability Worldwide (WW)
Language Availability English (en)
Language Availability Italian (it)
Dependencies Information

Description: Dependencies Information

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Related Platforms EC3 LToS: https://servproject.i3m.upv.es/ec3-ltos/index.php
Related Platforms EGI AppDB: https://appdb.egi.eu/
Related Resources Ophidia HPDA framework: http://ophidia.cmcc.it/
Related Resources EUDAT services (B2SHARE, B2DROP): https://eudat.eu/services/
Related Resources Onedata: https://onedata.org/#/home
Related Resources Grafana: https://grafana.com/
Related Resources JupyterHub: https://jupyter.org/hub
Attribution Information

Description: Attribution Information

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Funding Body European Comission (EC)
Funding Program The framework programme for research and innovation (H2020)
Project EU H2020 EOSC-hub (Grant Agreement no. 777536)
Project EU H2020 IS-ENES Phase 3 (Grant Agreement no. 824084)
Project EU H2020 INDIGO-DataCloud (Grant Agreement no. 653549)
Management Information

Description: Management Information

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Privacy Policy https://www.cmcc.it/privacy-cookie
Training Information https://github.com/ECAS-Lab/ecas-training
User Manual http://ophidia.cmcc.it/documentation/index.html; https://pypi.org/project/PyOphidia/
Access and Order Information

Description: Access and Order Information

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Order Type Open access
Financial Information

Description: Financial Information

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Additional Info
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system:type EOSCResource
Management Info
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Author Fabrizio Antonio
Maintainer Antonio Fabrizio
Version 1
Last Updated 8 June 2021, 12:13 (CEST)
Created 5 June 2021, 15:01 (CEST)