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    "info": {
        "author": "Deepansh Srivastava",
        "author_email": "srivastava.89@osu.edu",
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            "Development Status :: 4 - Beta",
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            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3.8",
            "Programming Language :: Python :: 3.9",
            "Topic :: Scientific/Engineering"
        ],
        "description": "\n# The csdmpy project\n\n|              |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              |\n| ------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| Deployment   | [![PyPI version](https://img.shields.io/pypi/v/csdmpy.svg?style=flat&logo=pypi&logoColor=white)](https://pypi.python.org/pypi/csdmpy) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/csdmpy)                                                                                                                                                                                                                                                                                                                                                                |\n| Build Status | [![Travis (.org)](https://img.shields.io/travis/deepanshs/csdmpy?logo=travis)](<(https://travis-ci.org/DeepanshS/csdmpy)>) [![Github workflow](<https://img.shields.io/github/workflow/status/deepanshs/csdmpy/CI%20(pip)?logo=GitHub>)](https://github.com/DeepanshS/csdmpy/actions) [![Documentation Status](https://readthedocs.org/projects/csdmpy/badge/?version=stable)](https://csdmpy.readthedocs.io/en/stable/?badge=stable)                                                                                                                                        |\n| License      | [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause)                                                                                                                                                                                                                                                                                                                                                                                                                                                    |\n| Metrics      | [![PyPI - Downloads](https://img.shields.io/pypi/dm/csdmpy.svg)](https://img.shields.io/pypi/dm/csdmpy)[![Total alerts](https://img.shields.io/lgtm/alerts/g/DeepanshS/csdmpy.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/DeepanshS/csdmpy/alerts/) [![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/DeepanshS/csdmpy.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/DeepanshS/csdmpy/context:python) [![codecov](https://codecov.io/gh/DeepanshS/csdmpy/branch/master/graph/badge.svg)](https://codecov.io/gh/DeepanshS/csdmpy) |\n| GitHub       | ![GitHub issues](https://img.shields.io/github/issues-raw/deepanshs/csdmpy)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |\n| Citations    | [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3973603.svg)](https://doi.org/10.5281/zenodo.3973603) [![DOI](<https://img.shields.io/badge/DOI-PLOS%20ONE%2015(1):%20e0225953-blueviolet>)](https://doi.org/10.1371/journal.pone.0225953)                                                                                                                                                                                                                                                                                                                               |\n\nThe _csdmpy_ package is a Python support for the core scientific\ndataset (CSD) model file exchange-format.\nThe package is based on the core scientific dataset (CSD) model which is\ndesigned as a building block in the development of a more sophisticated\nportable scientific dataset file standard.\nThe CSD model is capable of handling a wide variety of\nscientific datasets both within and across disciplinary fields.\n\nThe main objective of this python package is to facilitate an easy import and\nexport of the CSD model serialized JSON files for Python users. The\npackage utilizes Numpy library and, therefore, offers the end users versatility\nto process or visualize the imported datasets with any third party package(s)\ncompatible with Numpy.\n\nFor further reading, refer to the [documentation](https://csdmpy.readthedocs.io/en/latest/).\n\n> **Download the examples files using in this package**\n>\n> [![Download](https://img.shields.io/badge/Download-CSDM%20sample%20files-blueviolet)](https://osu.box.com/s/bq10pc5jyd3mu67vqvhw4xmrqgsd0x8u)\n\n> **See example gallery**\n>\n> [![View](https://img.shields.io/badge/View-Example%20Gallery-Purple?size=large)](https://csdmpy.readthedocs.io/en/latest/auto_examples/index.html)\n\n## The core scientific dataset (CSD) model\n\nThe core scientific dataset (CSD) model is a _light-weight_, _portable_,\n_versatile_, and _standalone_ data model capable of handling a variety of\nscientific datasets. The model only encapsulates\ndata values and the minimum metadata, to accurately represent a _p_-component\ndependent variable,\ndiscretely sampled at _M_ unique points in a _d_-dimensional coordinate space.\nThe model is not intended to encapsulate\nany information on how the data might be acquired, processed, or visualized.\n\nThe data model is _versatile_ in allowing many use cases for most spectroscopy,\ndiffraction, and imaging techniques. As\nsuch the model supports multi-component datasets associated with continuous\nphysical quantities that are discretely sampled in a multi-dimensional space\nassociated with other carefully controlled quantities, for e.g., a mass as a\nfunction of temperature, a current as a function of voltage and time, a signal\nvoltage as a function of magnetic field gradient strength, a color image with\na red, green, and blue (RGB) light intensity components as a function of two\nindependent spatial dimensions, or the six components of the symmetric\nsecond-rank diffusion tensor MRI as a function of three independent spatial\ndimensions. Additionally, the model supports multiple dependent variables\nsharing the same _d_-dimensional coordinate space. For instance,\nthe simultaneous measurement of current and voltage as a function of time.\nAnother example would be the simultaneous acquisition of air temperature,\npressure, wind velocity, and\nsolar-flux as a function of Earth\u2019s latitude and longitude coordinates. We\nrefer to these dependent variables as _correlated-datasets_.\n\nThe CSD model is independent of the hardware,\noperating system, application software, programming language, and the\nobject-oriented file-serialization format utilized in serializing the CSD model\nto the file. Out of numerous file serialization formats, XML, JSON, property\nlist, we adopt the data-exchange oriented JSON (JavaScript Object Notation)\nfile-serialization format because it is _human-readable_, and _easily integrable_ with any number of programming languages\nand field related application-software.\n\n## Installing _csdmpy_ package\n\n**Using PIP**:\n\nPIP is a package manager for Python packages and is included with\npython version 3.4 and higher.\n\n    $ pip install csdmpy\n\n## How to cite\n\nPlease cite the following when used in publication.\n\n1. Srivastava D.J., Vosegaard T., Massiot D., Grandinetti P.J. (2020) Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data. [PLOS ONE 15(1): e0225953.](https://doi.org/10.1371/journal.pone.0225953)\n\n2. Additionally, if you use the csdmpy python package, please find the citation for the respective\n   version from [zenodo](https://zenodo.org/record/3973603).\n\n## Check out the media coverage.\n\n- [<img src=\"https://inc.cnrs.fr/sites/institut_inc/files/styles/top_left/public/image/cnrs_20180120_0025%20%281%29.jpg?itok=i3wlyGBq\" height=\"64\" width=\"64\"> Des chimistes \u00e9laborent un nouveau format pour le partage de donn\u00e9es scientifiques](https://inc.cnrs.fr/fr/cnrsinfo/des-chimistes-elaborent-un-nouveau-format-pour-le-partage-de-donnees-scientifiques)\n\n- [<img src=\"https://www.technology.org/texorgwp/wp-content/uploads/2020/01/1920_data-1536x1024.jpg\" height=\"64\" width=\"64\"> Simplifying how scientists share data](https://www.technology.org/2020/01/03/simplifying-how-scientists-share-data/)\n\n\n",
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