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69 review rc doc add citation (#99)
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* Create CITATION.cff

Add JOSS citation

* Update README.md

Add JOSS badge/link to paper

* Add errors ignore so it doesn't default to error raise (failing). (#101) (#103)

* Add errors ignore so it doesn't default to error raise (failing). THis change is needed because a new result has bad units (percent for secchi depth...).

* Ignore pH errors (e.g., mV). This can be reverted if functionality is added in the future (see issue #102)
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jbousquin authored Oct 31, 2024
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36 changes: 36 additions & 0 deletions CITATION.cff
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CITATION.cff

cff-version: "1.2.0"
authors:
- family-names: Bousquin
given-names: Justin
orcid: "https://orcid.org/0000-0001-5797-4322"
- family-names: Mullin
given-names: Cristina A.
orcid: "https://orcid.org/0000-0002-0615-6087"
doi: 10.5281/zenodo.13356847
message: If you use this package, please cite our article in the
Journal of Open Source Software.
preferred-citation:
authors:
- family-names: Bousquin
given-names: Justin
orcid: "https://orcid.org/0000-0001-5797-4322"
- family-names: Mullin
given-names: Cristina A.
orcid: "https://orcid.org/0000-0002-0615-6087"
date-published: 2024-10-22
doi: 10.21105/joss.07305
issn: 2475-9066
issue: 102
journal: Journal of Open Source Software
publisher:
name: Open Journals
start: 7305
title: "harmonize-wq: Standardize, clean and wrangle Water Quality
Portal data into more analytic-ready formats"
type: article
url: "https://joss.theoj.org/papers/10.21105/joss.07305"
volume: 9
title: "harmonize-wq: Standardize, clean and wrangle Water Quality
Portal data into more analytic-ready formats"
1 change: 1 addition & 0 deletions README.md
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[![test](https://github.com/USEPA/harmonize-wq/actions/workflows/test.yml/badge.svg)](https://github.com/USEPA/harmonize-wq/actions/workflows/test.yml)
[![Python Version from PEP 621 TOML](https://img.shields.io/python/required-version-toml?tomlFilePath=https://raw.githubusercontent.com/USEPA/harmonize-wq/main/pyproject.toml)](https://www.python.org/downloads/)
[![pyOpenSci Peer-Reviewed](https://pyopensci.org/badges/peer-reviewed.svg)](https://github.com/pyOpenSci/software-review/issues/157)
[![DOI](https://joss.theoj.org/papers/10.21105/joss.07305/status.svg)](https://doi.org/10.21105/joss.07305)

# harmonize-wq
Standardize, clean, and wrangle Water Quality Portal data into more analytic-ready formats
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