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Misc updates (#94)
* removing redundant materials in contributing page * removed cff file * update citation for pvops in readme and documentation
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CITATION.cff

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README.md

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[![GitHub version](https://badge.fury.io/gh/sandialabs%2FpvOps.svg)](https://badge.fury.io/gh/sandialabs%2FpvOps)
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[![License](https://img.shields.io/pypi/l/pvOps?color=green)](https://github.com/sandialabs/pvOps/blob/master/LICENSE)
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[![ActionStatus](https://github.com/sandialabs/pvOps/workflows/lint%20and%20test/badge.svg)](https://github.com/sandialabs/pvOps/actions)
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[![DOI](https://zenodo.org/badge/289032705.svg)](https://zenodo.org/badge/latestdoi/289032705)
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[![status](https://joss.theoj.org/papers/6c3554c98b1771125613cff94241847c/status.svg)](https://joss.theoj.org/papers/6c3554c98b1771125613cff94241847c)
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pvops contains a series of functions to facilitate fusion of text-based data with time series production data collected at photovoltaic sites. The package also contains example datasets and tutorials to help demonstrate how the functions can be used.
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Citing
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======
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If using this package, please cite [our paper](https://ieeexplore.ieee.org/document/9518439) using the following:
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If using this package, please cite our [JOSS paper](https://joss.theoj.org/papers/10.21105/joss.05755#) using the following:
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**Citation:**
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```
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H. Mendoza, M. Hopwood and T. Gunda, "pvOps: Improving Operational Assessments through Data Fusion," 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC), 2021, pp. 0112-0119, doi: 10.1109/PVSC43889.2021.9518439.
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Bonney et al., (2023). pvOps: a Python package for empirical analysis of photovoltaic field data.
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Journal of Open Source Software, 8(91), 5755, https://doi.org/10.21105/joss.05755
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```
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**BibTex:**
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```
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@INPROCEEDINGS{9518439,
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author={Mendoza, Hector and Hopwood, Michael and Gunda, Thushara},
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booktitle={2021 IEEE 48th Photovoltaic Specialists Conference (PVSC)},
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title={pvOps: Improving Operational Assessments through Data Fusion},
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year={2021},
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volume={},
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number={},
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pages={0112-0119},
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doi={10.1109/PVSC43889.2021.9518439}}
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@article{Bonney2023,
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doi = {10.21105/joss.05755},
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url = {https://doi.org/10.21105/joss.05755},
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year = {2023},
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publisher = {The Open Journal},
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volume = {8},
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number = {91},
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pages = {5755},
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author = {Kirk L. Bonney and Thushara Gunda and Michael W. Hopwood and Hector Mendoza and Nicole D. Jackson},
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title = {pvOps: a Python package for empirical analysis of photovoltaic field data},
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journal = {Journal of Open Source Software} }
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```
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Contributing
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Copyright and License
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=======
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pvops is copyright through Sandia National Laboratories. The software is distributed under the Revised BSD License. See [copyright and license](https://github.com/sandialabs/pvops/blob/master/LICENSE) for more information.
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pvops is copyright through National Technology & Engineering Solutions of Sandia (NTESS). The software is distributed under the Revised BSD License. See the LICENSE file for more information.

docs/pages/contributing.rst

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the latest `master` commit
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- Ensure that appropriate documentation and tests accompany any added features.
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Once a pull-request is submitted you will iterate with NuMAD maintainers
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until your changes are in an acceptable state and can be merged in. You can push
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addditional commits to the branch used to create the pull-request to reflect the
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feedback from maintainers and users of the code.
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Questions and feature requests
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--------------------------------
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For any questions regarding pvOps or requests for additional features,
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users may open an issue on the `pvops issues page <https://github.com/sandialabs/pvops/issues>`_
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or contact the package maintainer found in ``setup.py``.
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Guidelines for effective bug reporting
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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- Use a clear, descriptive title for the question or feature request.
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- If submitting a feature request, please provide context, examples, and
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references when relevant.

docs/pages/references.rst

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.. code-block:: text
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H. Mendoza, M. Hopwood and T. Gunda, "pvOps: Improving Operational
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Assessments through Data Fusion," 2021 IEEE 48th Photovoltaic Specialists
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Conference (PVSC), 2021, pp. 0112-0119, doi: 10.1109/PVSC43889.2021.9518439.
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Bonney et al., (2023). pvOps: a Python package for empirical analysis of photovoltaic field data.
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Journal of Open Source Software, 8(91), 5755, https://doi.org/10.21105/joss.05755
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In BibTex format:
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.. code-block:: text
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@INPROCEEDINGS{9518439,
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author={Mendoza, Hector and Hopwood, Michael and Gunda, Thushara},
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booktitle={2021 IEEE 48th Photovoltaic Specialists Conference (PVSC)},
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title={pvOps: Improving Operational Assessments through Data Fusion},
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year={2021},
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volume={},
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number={},
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pages={0112-0119},
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doi={10.1109/PVSC43889.2021.9518439}}
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@article{Bonney2023,
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doi = {10.21105/joss.05755},
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url = {https://doi.org/10.21105/joss.05755},
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year = {2023},
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publisher = {The Open Journal},
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volume = {8},
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number = {91},
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pages = {5755},
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author = {Kirk L. Bonney and Thushara Gunda and Michael W. Hopwood and Hector Mendoza and Nicole D. Jackson},
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title = {pvOps: a Python package for empirical analysis of photovoltaic field data},
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journal = {Journal of Open Source Software} }
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We also utilize content from other packages. See the NOTICE/ directory on our GitHub!

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