├── README.md
└── ndarray_file_example
    ├── FileSpec2.3001.ns5
    ├── header.json
    └── read_ndarray_file.py


/README.md:
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1 | # Neuroscience Data Structure (NDS)
2 | 
3 | The objective of this project is to put together a set of specifications and tools that would allow the standardization of a directory structure containing experimental data recorded with animal models in neuroscience.
4 | For this, we aim at capitalizing on the success of BIDS for human neuroimaging data, while retaining the specificities of data sets obtained in animal models.
5 | Such a standardized data structure will facilitate obtaining reproducible research and data sharing following the FAIR principles.
6 | 
7 | [Note that the name Neuroscience Data Structure and the associated acronym NDS are purely provisonal]
8 | 


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/ndarray_file_example/FileSpec2.3001.ns5:
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https://raw.githubusercontent.com/INCF/neuroscience-data-structure/a46d724e50d46d69895fc9021fa7f7abc12c01d4/ndarray_file_example/FileSpec2.3001.ns5


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/ndarray_file_example/header.json:
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1 | {
2 |     "offset": 983,
3 |     "shape": [900300, 10],
4 |     "dtype": "int16"
5 | }
6 | 


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/ndarray_file_example/read_ndarray_file.py:
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 1 | #!/usr/bin/env python3
 2 | 
 3 | import numpy as np
 4 | import json
 5 | 
 6 | folder = './'
 7 | filename = folder + 'FileSpec2.3001.ns5'
 8 | 
 9 | 
10 | with open('header.json', 'r') as f:
11 |     d = json.load(f)
12 | 
13 | sigs = np.memmap(filename, mode='r',
14 |     dtype=d['dtype'],
15 |     offset=d['offset'],
16 |     shape=tuple(d['shape']),
17 |     order='C')
18 | 
19 | print(sigs.shape, sigs.dtype) 
20 | 


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