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        "description": "# ARCCSSive\nARCCSS Data Access Tools\n\n[![Documentation Status](https://readthedocs.org/projects/arccssive/badge/?version=latest)](https://readthedocs.org/projects/arccssive/?badge=latest)\n[![Build Status](https://travis-ci.org/coecms/ARCCSSive.svg?branch=master)](https://travis-ci.org/coecms/ARCCSSive)\n[![CircleCI](https://circleci.com/gh/coecms/ARCCSSive.svg?style=shield)](https://circleci.com/gh/coecms/ARCCSSive)\n[![codecov.io](http://codecov.io/github/coecms/ARCCSSive/coverage.svg?branch=master)](http://codecov.io/github/coecms/ARCCSSive?branch=master)\n[![Code Health](https://landscape.io/github/coecms/ARCCSSive/master/landscape.svg?style=flat)](https://landscape.io/github/coecms/ARCCSSive/master)\n[![Code Climate](https://codeclimate.com/github/coecms/ARCCSSive/badges/gpa.svg)](https://codeclimate.com/github/coecms/ARCCSSive)\n[![PyPI version](https://badge.fury.io/py/ARCCSSive.svg)](https://pypi.python.org/pypi/ARCCSSive)\n[![Anaconda-Server Badge](https://anaconda.org/coecms/arccssive/badges/version.svg)](https://anaconda.org/coecms/arccssive)\n\nFor full documentation please see http://arccssive.readthedocs.org/en/stable\n\nInstalling\n==========\n\n### Raijin\n\nThe stable version of ARCCSSive is available on Rajin in the `analysis27` Anaconda environment:\n\n    raijin $ module use /g/data3/hh5/public/modules\n    raijin $ module load conda/analysis27\n\nand is also available as a module:\n\n    raijin $ module use ~access/modules\n    raijin $ module load pythonlib/ARCCSSive\n\n### NCI Virtual Desktops\n\nNCI's virtual desktops allow you to use ARCCSSive from a Jupyter notebook. For\ndetails on how to use virtual desktops see http://vdi.nci.org.au/help\n\nARCCSSive can be accessed on VDI using the Anaconda environments:\n\n    vdi $ module use /g/data3/hh5/public/modules\n    vdi $ module load conda/analysis27\n\n### Local Install\n\nYou can install ARCCSSive locally using either Anaconda or Pip. You will need\nto copy the database file from Raijin\n\n    $ pip install ARCCSSive\n    # or\n    $ conda install -c coecms arccssive\n\n    $ scp raijin:/g/data1/ua6/unofficial-ESG-replica/tmp/tree/cmip5_raijin_latest.db $PWD/cmip5.db\n    $ export CMIP5_DB=sqlite:///$PWD/cmip5.db\n\n### Development Version\n\nTo install the current development version with a test database:\n\n    $ pip install --user git+https://github.com/coecms/ARCCSSive.git \n    $ export CMIP5_DB=sqlite:///$HOME/cmip5.db\n\nCMIP5\n=====\n\nQuery and access the CMIP5 data from Raijin\n\n```python\nfrom ARCCSSive import CMIP5\n\ncmip = CMIP5.DB.connect()\nfor output in cmip.outputs(model='ACCESS1-0'):\n    variable = output.variable\n    files    = output.filenames()    \n```\n\nUses\n[SQLAlchemy](http://docs.sqlalchemy.org/en/rel_1_0/orm/tutorial.html#querying)\nto filter and sort the data files.\n\n\n\n",
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