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| version="5.3.1" | ||
| xsi:schemaLocation="http://www.crossref.org/schema/5.3.1 http://www.crossref.org/schemas/crossref5.3.1.xsd"> | ||
| <head> | ||
| <doi_batch_id>20241204170504-9acb097bdd7e66b9caf60a09008c005e0d34e694</doi_batch_id> | ||
| <timestamp>20241204170504</timestamp> | ||
| <doi_batch_id>20241206165651-9acb097bdd7e66b9caf60a09008c005e0d34e694</doi_batch_id> | ||
| <timestamp>20241206165651</timestamp> | ||
| <depositor> | ||
| <depositor_name>JOSS Admin</depositor_name> | ||
| <email_address>[email protected]</email_address> | ||
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| </journal_issue> | ||
| <journal_article publication_type="full_text"> | ||
| <titles> | ||
| <title>ndbc-api: Accelerating oceanography and climate science | ||
| research with Python</title> | ||
| <title>ndbc-api: Accelerating oceanography and climate science research with Python</title> | ||
| </titles> | ||
| <contributors> | ||
| <person_name sequence="first" contributor_role="author"> | ||
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@@ -90,56 +89,40 @@ research with Python</title> | |
| <article_title>NDBC web data guide</article_title> | ||
| <author>National Data Buoy Center (NDBC)</author> | ||
| <cYear>2023</cYear> | ||
| <unstructured_citation>National Data Buoy Center (NDBC). | ||
| (2023). NDBC web data guide. | ||
| https://www.ndbc.noaa.gov/docs/ndbc_web_data_guide.pdf.</unstructured_citation> | ||
| <unstructured_citation>National Data Buoy Center (NDBC). (2023). NDBC web data guide. https://www.ndbc.noaa.gov/docs/ndbc_web_data_guide.pdf.</unstructured_citation> | ||
| </citation> | ||
| <citation key="NDBC_Active_Stations"> | ||
| <article_title>NDBC active stations</article_title> | ||
| <author>National Data Buoy Center (NDBC)</author> | ||
| <cYear>2024</cYear> | ||
| <unstructured_citation>National Data Buoy Center (NDBC). | ||
| (2024). NDBC active stations. | ||
| https://www.ndbc.noaa.gov/wstat.shtml.</unstructured_citation> | ||
| <unstructured_citation>National Data Buoy Center (NDBC). (2024). NDBC active stations. https://www.ndbc.noaa.gov/wstat.shtml.</unstructured_citation> | ||
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| <citation key="pandas"> | ||
| <article_title>Data Structures for Statistical Computing in | ||
| Python</article_title> | ||
| <article_title>Data Structures for Statistical Computing in Python</article_title> | ||
| <author>Mckinney</author> | ||
| <journal_title>Proceedings of the 9th Python in Science | ||
| Conference</journal_title> | ||
| <journal_title>Proceedings of the 9th Python in Science Conference</journal_title> | ||
| <issue>1</issue> | ||
| <volume>445</volume> | ||
| <doi>10.25080/majora-92bf1922-00a</doi> | ||
| <cYear>2010</cYear> | ||
| <unstructured_citation>Mckinney, W. (2010). Data Structures | ||
| for Statistical Computing in Python. Proceedings of the 9th Python in | ||
| Science Conference, 445(1), 56–61. | ||
| https://doi.org/10.25080/majora-92bf1922-00a</unstructured_citation> | ||
| <unstructured_citation>Mckinney, W. (2010). Data Structures for Statistical Computing in Python. Proceedings of the 9th Python in Science Conference, 445(1), 56–61. https://doi.org/10.25080/majora-92bf1922-00a</unstructured_citation> | ||
| </citation> | ||
| <citation key="reback2020pandas"> | ||
| <article_title>pandas-dev/pandas: Pandas</article_title> | ||
| <author>The pandas development team</author> | ||
| <doi>10.5281/zenodo.3509134</doi> | ||
| <cYear>2020</cYear> | ||
| <unstructured_citation>The pandas development team. (2020). | ||
| pandas-dev/pandas: Pandas (latest). Zenodo. | ||
| https://doi.org/10.5281/zenodo.3509134</unstructured_citation> | ||
| <unstructured_citation>The pandas development team. (2020). pandas-dev/pandas: Pandas (latest). Zenodo. https://doi.org/10.5281/zenodo.3509134</unstructured_citation> | ||
| </citation> | ||
| <citation key="hoyer2017xarray"> | ||
| <article_title>Xarray: N-D labeled arrays and datasets in | ||
| Python</article_title> | ||
| <article_title>Xarray: N-D labeled arrays and datasets in Python</article_title> | ||
| <author>Hoyer</author> | ||
| <journal_title>Journal of Open Research | ||
| Software</journal_title> | ||
| <journal_title>Journal of Open Research Software</journal_title> | ||
| <issue>1</issue> | ||
| <volume>5</volume> | ||
| <doi>10.5334/jors.148</doi> | ||
| <cYear>2017</cYear> | ||
| <unstructured_citation>Hoyer, S., & Hamman, J. (2017). | ||
| Xarray: N-D labeled arrays and datasets in Python. Journal of Open | ||
| Research Software, 5(1). | ||
| https://doi.org/10.5334/jors.148</unstructured_citation> | ||
| <unstructured_citation>Hoyer, S., & Hamman, J. (2017). Xarray: N-D labeled arrays and datasets in Python. Journal of Open Research Software, 5(1). https://doi.org/10.5334/jors.148</unstructured_citation> | ||
| </citation> | ||
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| </journal_article> | ||
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