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,"avatar_url":"https://github.com/sciserver.png","language":"Python","category":"Atmosphere","sub_category":"Atmospheric Composition and Dynamics","monthly_downloads":816,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"\u003cdiv align = \"center\"\u003e\n  \u003cimg src = \"https://raw.githubusercontent.com/sciserver/giverny/refs/heads/main/docs/imgs/monet-water_lilies.png\" width = \"50%\"\u003e\u003cbr\u003e\n\u003c/div\u003e\n\n# giverny\n[![PyPI](https://img.shields.io/pypi/v/giverny.svg?color=darkgreen)](https://pypi.org/project/giverny/)\n[![License: Apache 2.0](https://img.shields.io/badge/License-Apache_2.0-582913.svg)](https://opensource.org/license/apache-2-0)\n[![giverny PyPI downloads](https://img.shields.io/pypi/dm/giverny.svg?label=giverny%20%E2%A4%93\u0026color=461C6C)](https://pypi.org/project/giverny/)\n[![givernylocal PyPI downloads](https://img.shields.io/pypi/dm/givernylocal.svg?label=givernylocal%20%E2%A4%93\u0026color=461C6C)](https://pypi.org/project/givernylocal/)\n\nLibrary for querying the [Johns Hopkins Turbulence Database](https://turbulence.idies.jhu.edu/home).\n\nDEMO notebooks for the various compute environments are provided at the [Johns Hopkins Turbulence github](https://github.com/sciserver/giverny).\n\n## Python on SciServer (recommended)\n`DEMO_SciServer_python_notebooks.zip`\\\n`DEMO_wind_SciServer_python_notebooks.zip`\n\nThe SciServer is a cloud-based data-driven cluster of The Institute for Data Intensive Engineering and Science (IDIES) at Johns Hopkins University. Users get the advantages of more reliable and faster data access since the SciServer is directly connected to the Johns Hopkins Turbulence Database (JHTDB) through a 10 Gigabit ethernet connection. SciServer provides containers with `giverny`, and all dependent libraries, pre-installed.\n\nPlease go to [SciServer](https://sciserver.org/) to create an account, and access more information as well as help on SciServer.\n\nTo use `giverny` through Sciserver:\n1. Login to *SciServer*.\n2. Click on *Compute* and then *Create container*.\n    * Can also run jobs in batch mode, by selecting *Compute Jobs*.\n3. Type in a *Container name*, in *Compute Image* select *SciServer Essentials 4.0*, in *Data volumes* mark *Turbulence (ceph)* and *Turbulence Windfarm (ceph)*, and then click on *Create*.\n4. Click on the container you just created to start using *giverny* with Python and JupyterLab.\n\n## Python on local computers\n`DEMO_local_python_notebooks.zip`\\\n`DEMO_wind_local_python_notebooks.zip`\n\nThe first cell in the notebook runs the `pip` install command for the `givernylocal` library and all dependencies:\n```\npip install --upgrade givernylocal\n```\nIf you do not have `pip` on your system, it is quite easy to get it following the instructions at: [http://pip.readthedocs.org/en/latest/installation](http://pip.readthedocs.org/en/latest/installation).\n\n## Matlab on local computers\n`DEMO_local_matlab_notebooks.zip`\\\n`DEMO_wind_local_matlab_notebooks.zip`\n\n## C on local computers\n`DEMO_C.tar`\n\nPlease see the README inside the archive.\n\n## Fortran on local computers\n`DEMO_F.tar`\n\nPlease see the README inside the archive.\n\n## Authorization token\n\nWhile our service is open to anyone, we would like to keep track of who is using the service, and how. To this end, we would like each user or site to obtain an authorization token from us: [JHTDB authorization token](https://turbulence.idies.jhu.edu/staging/database)\n\nFor simple experimentation, the default token included in the package should be valid.\n","funding_links":[],"readme_doi_urls":[],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":[],"project_url":"https://ost.ecosyste.ms/api/v1/projects/347081","html_url":"https://ost.ecosyste.ms/projects/347081"}