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        "author": "Luiz Tauffer and Ben Dichter",
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        "description": "# axel-lab-to-nwb\nNWB conversion scripts and tutorials.\nA collaboration with [Axel Lab](https://www.axellab.columbia.edu/).\n\n# Install\nTo clone the repository and set up a conda environment, do:\n```\n$ git clone https://github.com/ben-dichter-consulting/axel-lab-to-nwb.git\n$ conda env create -f axel-lab-to-nwb/make_env.yml\n$ source activate convert_to_nwb\n```\n\nAlternatively, to install directly in an existing environment:\n```\n$ pip install git+https://github.com/ben-dichter-consulting/axel-lab-to-nwb.git\n```\n\n# Use\nAfter activating the correct environment, the conversion functions can be imported and run from python. \nHere's an example: we'll grab the data from the same experiment but stored in different `.npz` files and save it to a single `.nwb` file.\n```python\nfrom datetime import datetime\nfrom dateutil.tz import tzlocal\nfrom axel_lab_to_nwb import npz_to_nwb\n\nfpath = '/path/to/files'\nf1 = '2019_07_01_Nsyb_NLS6s_walk_fly2.npz'\nf2 = '2019_07_01_Nsyb_NLS6s_walk_fly2_A.npz'\nf3 = '2019_07_01_Nsyb_NLS6s_walk_fly2_ref_im.npz'\nfnpz = [f1, f2, f3]\nfnwb = 'fly2.nwb'\ninfo = {'session_description':'my CaIm recording',\n        'identifier':'EXAMPLE_ID',\n        'session_start_time':datetime.now(tzlocal()),\n        'experimenter':'My Name',\n        'lab':'Axel lab',\n        'institution':'Columbia University',\n        'experiment_description':'EXPERIMENT_DESCRIPTION',\n        'session_id':'IDX'}\n\nnpz_to_nwb(fpath=fpath, fnpz=fnpz, fnwb=fnwb, info=info, plot_rois=False)\n```\n\nAt [tutorials](https://github.com/ben-dichter-consulting/axel-lab-to-nwb/tree/master/tutorials) you can also find Jupyter notebooks with the step-by-step process of conversion.\n\n\n",
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