56 lines
2.1 KiB
Markdown
56 lines
2.1 KiB
Markdown
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ws-thredds
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--------------------------------------------------
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ws-thredds is a java library for synchronization of gCube WS folder against Thredds hosted in a D4Science environment.
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## Built with
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* [gCube Data Transfer](https://gcube.wiki.gcube-system.org/gcube/Data_Transfer_2) - gCube Data Transfer Service
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* [gCube SDI](https://gcube.wiki.gcube-system.org/gcube/GCube-SDI-Suite) - gCube SDI Suite
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* [OpenJDK](https://openjdk.java.net/) - The JDK used
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* [JAX-RS](https://github.com/eclipse-ee4j/jaxrs-api) - Java™ API for RESTful Web Services
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* [Jersey](https://jersey.github.io/) - JAX-RS runtime
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* [Maven](https://maven.apache.org/) - Dependency Management
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## Documentation
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TBD
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## Change log
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See [CHANGELOG.md](CHANGELOG.md).
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## License
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This project is licensed under the EUPL V.1.1 License - see the [LICENSE.md](LICENSE.md) file for details.
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## About the gCube Framework
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This software is part of the [gCubeFramework](https://www.gcube-system.org/ "gCubeFramework"): an
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open-source software toolkit used for building and operating Hybrid Data
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Infrastructures enabling the dynamic deployment of Virtual Research Environments
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by favouring the realisation of reuse oriented policies.
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The projects leading to this software have received funding from a series of European Union programmes including:
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- the Sixth Framework Programme for Research and Technological Development
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- DILIGENT (grant no. 004260).
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- the Seventh Framework Programme for research, technological development and demonstration
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- D4Science (grant no. 212488);
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- D4Science-II (grant no.239019);
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- ENVRI (grant no. 283465);
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- iMarine(grant no. 283644);
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- EUBrazilOpenBio (grant no. 288754).
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- the H2020 research and innovation programme
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- SoBigData (grant no. 654024);
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- PARTHENOS (grant no. 654119);
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- EGIEngage (grant no. 654142);
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- ENVRIplus (grant no. 654182);
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- BlueBRIDGE (grant no. 675680);
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- PerformFish (grant no. 727610);
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- AGINFRAplus (grant no. 731001);
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- DESIRA (grant no. 818194);
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- ARIADNEplus (grant no. 823914);
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- RISIS2 (grant no. 824091);
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