-
Notifications
You must be signed in to change notification settings - Fork 21
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request #6246 from openjournals/joss.07316
Merging automatically
- Loading branch information
Showing
3 changed files
with
699 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,229 @@ | ||
| <?xml version="1.0" encoding="UTF-8"?> | ||
| <doi_batch xmlns="http://www.crossref.org/schema/5.3.1" | ||
| xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" | ||
| xmlns:rel="http://www.crossref.org/relations.xsd" | ||
| xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" | ||
| 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>20241210162303-330fa3a889ed7b894a18c7a389a8a5721813a76f</doi_batch_id> | ||
| <timestamp>20241210162303</timestamp> | ||
| <depositor> | ||
| <depositor_name>JOSS Admin</depositor_name> | ||
| <email_address>[email protected]</email_address> | ||
| </depositor> | ||
| <registrant>The Open Journal</registrant> | ||
| </head> | ||
| <body> | ||
| <journal> | ||
| <journal_metadata> | ||
| <full_title>Journal of Open Source Software</full_title> | ||
| <abbrev_title>JOSS</abbrev_title> | ||
| <issn media_type="electronic">2475-9066</issn> | ||
| <doi_data> | ||
| <doi>10.21105/joss</doi> | ||
| <resource>https://joss.theoj.org</resource> | ||
| </doi_data> | ||
| </journal_metadata> | ||
| <journal_issue> | ||
| <publication_date media_type="online"> | ||
| <month>12</month> | ||
| <year>2024</year> | ||
| </publication_date> | ||
| <journal_volume> | ||
| <volume>9</volume> | ||
| </journal_volume> | ||
| <issue>104</issue> | ||
| </journal_issue> | ||
| <journal_article publication_type="full_text"> | ||
| <titles> | ||
| <title>ESAT: Environmental Source Apportionment Toolkit Python package</title> | ||
| </titles> | ||
| <contributors> | ||
| <person_name sequence="first" contributor_role="author"> | ||
| <given_name>Deron</given_name> | ||
| <surname>Smith</surname> | ||
| <affiliations> | ||
| <institution><institution_name>United States Environmental Protection Agency, Office of Research and Development, Center for Environmental Measurement and Modeling</institution_name></institution> | ||
| </affiliations> | ||
| <ORCID>https://orcid.org/0009-0009-4015-5270</ORCID> | ||
| </person_name> | ||
| <person_name sequence="additional" | ||
| contributor_role="author"> | ||
| <given_name>Michael</given_name> | ||
| <surname>Cyterski</surname> | ||
| <affiliations> | ||
| <institution><institution_name>United States Environmental Protection Agency, Office of Research and Development, Center for Environmental Measurement and Modeling</institution_name></institution> | ||
| </affiliations> | ||
| <ORCID>https://orcid.org/0000-0002-8630-873X</ORCID> | ||
| </person_name> | ||
| <person_name sequence="additional" | ||
| contributor_role="author"> | ||
| <given_name>John M</given_name> | ||
| <surname>Johnston</surname> | ||
| <affiliations> | ||
| <institution><institution_name>United States Environmental Protection Agency, Office of Research and Development, Center for Environmental Measurement and Modeling</institution_name></institution> | ||
| </affiliations> | ||
| <ORCID>https://orcid.org/0000-0002-5886-7876</ORCID> | ||
| </person_name> | ||
| <person_name sequence="additional" | ||
| contributor_role="author"> | ||
| <given_name>Kurt</given_name> | ||
| <surname>Wolfe</surname> | ||
| <affiliations> | ||
| <institution><institution_name>United States Environmental Protection Agency, Office of Research and Development, Center for Environmental Measurement and Modeling</institution_name></institution> | ||
| </affiliations> | ||
| <ORCID>https://orcid.org/0009-0009-4679-5922</ORCID> | ||
| </person_name> | ||
| <person_name sequence="additional" | ||
| contributor_role="author"> | ||
| <given_name>Rajbir</given_name> | ||
| <surname>Parmar</surname> | ||
| <affiliations> | ||
| <institution><institution_name>United States Environmental Protection Agency, Office of Research and Development, Center for Environmental Measurement and Modeling</institution_name></institution> | ||
| </affiliations> | ||
| <ORCID>https://orcid.org/0009-0005-2221-0433</ORCID> | ||
| </person_name> | ||
| </contributors> | ||
| <publication_date> | ||
| <month>12</month> | ||
| <day>10</day> | ||
| <year>2024</year> | ||
| </publication_date> | ||
| <pages> | ||
| <first_page>7316</first_page> | ||
| </pages> | ||
| <publisher_item> | ||
| <identifier id_type="doi">10.21105/joss.07316</identifier> | ||
| </publisher_item> | ||
| <ai:program name="AccessIndicators"> | ||
| <ai:license_ref applies_to="vor">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
| <ai:license_ref applies_to="am">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
| <ai:license_ref applies_to="tdm">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
| </ai:program> | ||
| <rel:program> | ||
| <rel:related_item> | ||
| <rel:description>Software archive</rel:description> | ||
| <rel:inter_work_relation relationship-type="references" identifier-type="doi">10.23719/1531870</rel:inter_work_relation> | ||
| </rel:related_item> | ||
| <rel:related_item> | ||
| <rel:description>GitHub review issue</rel:description> | ||
| <rel:inter_work_relation relationship-type="hasReview" identifier-type="uri">https://github.com/openjournals/joss-reviews/issues/7316</rel:inter_work_relation> | ||
| </rel:related_item> | ||
| </rel:program> | ||
| <doi_data> | ||
| <doi>10.21105/joss.07316</doi> | ||
| <resource>https://joss.theoj.org/papers/10.21105/joss.07316</resource> | ||
| <collection property="text-mining"> | ||
| <item> | ||
| <resource mime_type="application/pdf">https://joss.theoj.org/papers/10.21105/joss.07316.pdf</resource> | ||
| </item> | ||
| </collection> | ||
| </doi_data> | ||
| <citation_list> | ||
| <citation key="Bhandari:2022"> | ||
| <article_title>Source apportionment resolved by time of day for improved deconvolution of primary source contributions to air pollution</article_title> | ||
| <author>Bhandari</author> | ||
| <journal_title>Atmospheric Measurement Techniques</journal_title> | ||
| <issue>20</issue> | ||
| <volume>15</volume> | ||
| <doi>10.5194/amt-15-6051-2022</doi> | ||
| <cYear>2022</cYear> | ||
| <unstructured_citation>Bhandari, S., Arub, Z., Habib, G., Apte, J. S., & Hildebrandt Ruiz, L. (2022). Source apportionment resolved by time of day for improved deconvolution of primary source contributions to air pollution. Atmospheric Measurement Techniques, 15(20), 6051–6074. https://doi.org/10.5194/amt-15-6051-2022</unstructured_citation> | ||
| </citation> | ||
| <citation key="Brown:2015"> | ||
| <article_title>Methods for estimating uncertainty in PMF solutions: Examples with ambient air and water quality data and guidance on reporting PMF results</article_title> | ||
| <author>Brown</author> | ||
| <journal_title>Science of the Total Environment</journal_title> | ||
| <volume>518</volume> | ||
| <doi>10.1016/j.scitotenv.2015.01.022</doi> | ||
| <cYear>2015</cYear> | ||
| <unstructured_citation>Brown, S. G., Eberly, S., Paatero, P., & Norris, G. A. (2015). Methods for estimating uncertainty in PMF solutions: Examples with ambient air and water quality data and guidance on reporting PMF results. Science of the Total Environment, 518, 626–635. https://doi.org/10.1016/j.scitotenv.2015.01.022</unstructured_citation> | ||
| </citation> | ||
| <citation key="DeMelo:2012"> | ||
| <article_title>Semi-NMF and weighted semi-NMF algorithms comparison</article_title> | ||
| <author>Melo</author> | ||
| <cYear>2012</cYear> | ||
| <unstructured_citation>Melo, E. V. de, & Wainer, J. (2012). Semi-NMF and weighted semi-NMF algorithms comparison.</unstructured_citation> | ||
| </citation> | ||
| <citation key="Ding:2008"> | ||
| <article_title>Convex and semi-nonnegative matrix factorizations</article_title> | ||
| <author>Ding</author> | ||
| <journal_title>IEEE transactions on pattern analysis and machine intelligence</journal_title> | ||
| <issue>1</issue> | ||
| <volume>32</volume> | ||
| <doi>10.1109/TPAMI.2008.277</doi> | ||
| <cYear>2008</cYear> | ||
| <unstructured_citation>Ding, C. H., Li, T., & Jordan, M. I. (2008). Convex and semi-nonnegative matrix factorizations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(1), 45–55. https://doi.org/10.1109/TPAMI.2008.277</unstructured_citation> | ||
| </citation> | ||
| <citation key="Jiang:2019"> | ||
| <article_title>Application of positive matrix factorization to identify potential sources of water quality deterioration of Huaihe River, China</article_title> | ||
| <author>Jiang</author> | ||
| <journal_title>Applied Water Science</journal_title> | ||
| <issue>63, 3</issue> | ||
| <volume>9</volume> | ||
| <doi>10.1007/s13201-019-0938-4</doi> | ||
| <cYear>2019</cYear> | ||
| <unstructured_citation>Jiang, J., Khan, A. U., & Shi, B. (2019). Application of positive matrix factorization to identify potential sources of water quality deterioration of Huaihe River, China. Applied Water Science, 9(63, 3). https://doi.org/10.1007/s13201-019-0938-4</unstructured_citation> | ||
| </citation> | ||
| <citation key="Mamum:2021"> | ||
| <article_title>Application of Multivariate Statistical Techniques and Water Quality Index for the Assessment of Water Quality and Apportionment of Pollution Sources in the Yeongsan River, South Korea</article_title> | ||
| <author>Mamun</author> | ||
| <journal_title>International Journal of Environmental Research and Public Health</journal_title> | ||
| <issue>16</issue> | ||
| <volume>18</volume> | ||
| <doi>10.3390/ijerph18168268</doi> | ||
| <issn>1660-4601</issn> | ||
| <cYear>2021</cYear> | ||
| <unstructured_citation>Mamun, M., & An, K.-G. (2021). Application of Multivariate Statistical Techniques and Water Quality Index for the Assessment of Water Quality and Apportionment of Pollution Sources in the Yeongsan River, South Korea. International Journal of Environmental Research and Public Health, 18(16). https://doi.org/10.3390/ijerph18168268</unstructured_citation> | ||
| </citation> | ||
| <citation key="Paatero:1994"> | ||
| <article_title>Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values</article_title> | ||
| <author>Paatero</author> | ||
| <journal_title>Environmetrics</journal_title> | ||
| <issue>2</issue> | ||
| <volume>5</volume> | ||
| <doi>10.1002/env.3170050203</doi> | ||
| <cYear>1994</cYear> | ||
| <unstructured_citation>Paatero, P., & Tapper, U. (1994). Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values. Environmetrics, 5(2), 111–126. https://doi.org/10.1002/env.3170050203</unstructured_citation> | ||
| </citation> | ||
| <citation key="Paatero:1999"> | ||
| <article_title>The multilinear engine—a table-driven, least squares program for solving multilinear problems, including the n-way parallel factor analysis model</article_title> | ||
| <author>Paatero</author> | ||
| <journal_title>Journal of Computational and Graphical Statistics</journal_title> | ||
| <issue>4</issue> | ||
| <volume>8</volume> | ||
| <doi>10.1080/10618600.1999.10474853</doi> | ||
| <cYear>1999</cYear> | ||
| <unstructured_citation>Paatero, P. (1999). The multilinear engine—a table-driven, least squares program for solving multilinear problems, including the n-way parallel factor analysis model. Journal of Computational and Graphical Statistics, 8(4), 854–888. https://doi.org/10.1080/10618600.1999.10474853</unstructured_citation> | ||
| </citation> | ||
| <citation key="Paatero:2014"> | ||
| <article_title>Methods for estimating uncertainty in factor analytic solutions</article_title> | ||
| <author>Paatero</author> | ||
| <journal_title>Atmospheric Measurement Techniques</journal_title> | ||
| <issue>3</issue> | ||
| <volume>7</volume> | ||
| <doi>10.5194/amt-7-781-2014</doi> | ||
| <cYear>2014</cYear> | ||
| <unstructured_citation>Paatero, P., Eberly, S., Brown, S. G., & Norris, G. A. (2014). Methods for estimating uncertainty in factor analytic solutions. Atmospheric Measurement Techniques, 7(3), 781–797. https://doi.org/10.5194/amt-7-781-2014</unstructured_citation> | ||
| </citation> | ||
| <citation key="PMF5:2014"> | ||
| <article_title>Positive Matrix Factorization Model for Environmental Data Analyses</article_title> | ||
| <author>EPA</author> | ||
| <cYear>2014</cYear> | ||
| <unstructured_citation>EPA, U. S. (2014). Positive Matrix Factorization Model for Environmental Data Analyses. https://www.epa.gov/air-research/positive-matrix-factorization-model-environmental-data-analyses</unstructured_citation> | ||
| </citation> | ||
| <citation key="Wang:2006"> | ||
| <article_title>LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates</article_title> | ||
| <author>Wang</author> | ||
| <journal_title>BMC bioinformatics</journal_title> | ||
| <volume>7</volume> | ||
| <doi>10.1186/1471-2105-7-175</doi> | ||
| <cYear>2006</cYear> | ||
| <unstructured_citation>Wang, G., Kossenkov, A. V., & Ochs, M. F. (2006). LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates. BMC Bioinformatics, 7, 1–10. https://doi.org/10.1186/1471-2105-7-175</unstructured_citation> | ||
| </citation> | ||
| </citation_list> | ||
| </journal_article> | ||
| </journal> | ||
| </body> | ||
| </doi_batch> |
Binary file not shown.
Oops, something went wrong.