tag:joss.theoj.org,2005:/papers/tagged/FormattingJournal of Open Source Software2024-01-12T08:36:31ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/50002024-01-12T08:36:31Z2024-01-13T00:00:51Zdwctaxon, an R package for editing and validating taxonomic data in Darwin Core formatacceptedv2.0.32023-12-15 08:13:29 UTC932024-01-12 08:36:31 UTC920246215JoelH.NittaGraduate School of Global and Transdisciplinary Studies, Chiba University, Japan0000-0003-4719-7472WataruIwasakiDepartment of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan, Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan, Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan0000-0002-9169-924510.21105/joss.06215https://doi.org/10.5281/zenodo.6388271Rhttps://joss.theoj.org/papers/10.21105/joss.06215.pdftaxonomy, biodiversitytag:joss.theoj.org,2005:Paper/38102024-01-09T15:42:20Z2024-01-10T00:01:06ZScarlet: Scalable Anytime Algorithms for Learning Fragments of Linear Temporal Logicacceptedv0.0.12022-08-10 18:27:58 UTC932024-01-09 15:42:20 UTC920245052RitamRahaUniversity of Antwerp, Antwerp, Belgium, CNRS, LaBRI and Université de Bordeaux, France0000-0003-1467-1182RajarshiRoyMax Planck Institute for Software Systems, Kaiserslautern, Germany0000-0002-0202-1169NathanaëlFijalkowCNRS, LaBRI and Université de Bordeaux, France0000-0002-6576-4680DanielNeiderTU Dortmund University, Dortmund, Germany, Center for Trustworthy Data Science and Security, University Alliance Ruhr, Germany0000-0001-9276-634210.21105/joss.05052https://doi.org/10.5281/zenodo.10419514Pythonhttps://joss.theoj.org/papers/10.21105/joss.05052.pdflinear temporal logic (LTL), Explainable AI (XAI), specification mining, Formal Methodstag:joss.theoj.org,2005:Paper/43732023-09-08T21:51:41Z2023-09-09T17:43:20ZA Python Tool for Predicting and Assessing Unconventional Rare-Earth and Critical Mineral Resourcesacceptedv1.0.02023-03-29 21:51:56 UTC892023-09-08 21:51:41 UTC820235500PatrickWingoNational Energy Technology Laboratory (NETL), USA, NETL Support Contractor, USA0000-0003-3934-7733DevinJustmanNational Energy Technology Laboratory (NETL), USA, NETL Support Contractor, USAC.GabrielCreasonNational Energy Technology Laboratory (NETL), USA, Oak Ridge Institute for Science and Education (ORISE), USA0000-0002-3440-1174MackenzieMark-MoserNational Energy Technology Laboratory (NETL), USA, NETL Support Contractor, USA0000-0001-5138-5527ScottMontrossNational Energy Technology Laboratory (NETL), USA, NETL Support Contractor, USA0000-0002-6551-7700KellyRoseNational Energy Technology Laboratory (NETL), USA0000-0001-6130-472710.21105/joss.05500https://doi.org/10.5281/zenodo.8319843Pythonhttps://joss.theoj.org/papers/10.21105/joss.05500.pdfRare-Earth Elements, Geology, Coal Formations, subsurfacetag:joss.theoj.org,2005:Paper/41672023-04-29T07:05:40Z2023-05-02T07:29:08Zhdt-rs: A Rust library for the Header Dictionary Triples binary RDF compression formataccepted0.0.112023-01-17 15:48:29 UTC842023-04-29 07:05:40 UTC820235114KonradHöffnerInstitute for Medical Informatics, Statistics, and Epidemiology, Medical Faculty, Leipzig University0000-0001-7358-3217TimBaccaertIndependent Researcher, Belgium10.21105/joss.05114https://doi.org/10.5281/zenodo.7871117https://joss.theoj.org/papers/10.21105/joss.05114.pdfRust, HDT, RDF, linked data, semantic webtag:joss.theoj.org,2005:Paper/43702023-04-13T08:32:15Z2023-04-14T00:03:14ZCrowsetta: A Python tool to work with any format for annotating animal vocalizations and bioacoustics data.accepted5.0.02023-03-29 14:09:07 UTC842023-04-13 08:32:15 UTC820235338DavidNicholsonIndependent Research, USA0000-0002-4261-471910.21105/joss.05338https://doi.org/10.5281/zenodo.7781587Pythonhttps://joss.theoj.org/papers/10.21105/joss.05338.pdfanimal acoustic communication, bioacousticstag:joss.theoj.org,2005:Paper/41582023-03-15T00:11:38Z2023-03-16T00:04:32ZUniversal Numbers Library: Multi-format Variable Precision Arithmetic Libraryacceptedv3.66.12023-01-09 23:04:06 UTC832023-03-15 00:11:38 UTC820235072E.Theodore L.OmtzigtStillwater Supercomputing, Inc, USA0000-0003-0194-951XJamesQuinlanSchool of Mathematical and Physical Sciences, University of New England, USA0000-0002-2628-165110.21105/joss.05072https://doi.org/10.5281/zenodo.7735084C++, Chttps://joss.theoj.org/papers/10.21105/joss.05072.pdfnumerical analysis, deep learning, machine learning, floating-point representations, mixed-precisiontag:joss.theoj.org,2005:Paper/39032023-02-28T11:06:40Z2023-03-01T00:04:47ZWakeflow: A Python package for semi-analytic models of planetary wakesacceptedv1.2.02022-09-19 07:53:20 UTC822023-02-28 11:06:40 UTC820234863ThomasHilderSchool of Physics and Astronomy, Monash University, Australia0000-0001-7641-5235DanieleFasanoDipartimento di Fisica, Università degli Studi di Milano, Italy0000-0003-4679-4072FrancescoBollatiDipartimento di Scienza e Alta Tecnologia, Università degli Studi dell'Insubria, ItalyJacobVandenbergSchool of Mathematics, Monash University, Australia0000-0002-4055-972810.21105/joss.04863https://doi.org/10.5281/zenodo.7679415Pythonhttps://joss.theoj.org/papers/10.21105/joss.04863.pdfastronomy, dynamics, protoplanetary disks, planet formationtag:joss.theoj.org,2005:Paper/36072023-01-27T19:40:20Z2023-01-28T00:01:31ZPyAutoGalaxy: Open-Source Multiwavelength Galaxy Structure & Morphologyaccepted2022.05.02.12022-05-17 09:14:18 UTC812023-01-27 19:40:20 UTC820234475James.W.NightingaleInstitute for Computational Cosmology, Stockton Rd, Durham DH1 3LE0000-0002-8987-7401AristeidisAmvrosiadisInstitute for Computational Cosmology, Stockton Rd, Durham DH1 3LE0000-0002-4465-1564RichardG.HayesInstitute for Computational Cosmology, Stockton Rd, Durham DH1 3LEQiuhanHeInstitute for Computational Cosmology, Stockton Rd, Durham DH1 3LE0000-0003-3672-9365AmyEtheringtonInstitute for Computational Cosmology, Stockton Rd, Durham DH1 3LEXiaoYueCaoNational Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing 100012, ChinaShaunColeInstitute for Computational Cosmology, Stockton Rd, Durham DH1 3LE0000-0002-5954-7903JonathanFrawleyAdvanced Research Computing, Durham University, Durham DH1 3LE0000-0002-9437-7399CarlosS.FrenkInstitute for Computational Cosmology, Stockton Rd, Durham DH1 3LE0000-0002-2338-716XSamLangeInstitute for Computational Cosmology, Stockton Rd, Durham DH1 3LERanLiNational Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing 100012, China0000-0003-3899-0612RichardJ.MasseyInstitute for Computational Cosmology, Stockton Rd, Durham DH1 3LE0000-0002-6085-3780MattiaNegrelloSchool of Physics and Astronomy, Cardiff University, The Parade, Cardiff CF24 3AA, UK0000-0002-7925-7663AndrewRobertsonInstitute for Computational Cosmology, Stockton Rd, Durham DH1 3LE0000-0002-0086-052410.21105/joss.04475https://doi.org/10.5281/zenodo.7546915Pythonhttps://joss.theoj.org/papers/10.21105/joss.04475.pdfastronomy, galaxy formation and evolution, galaxy morphology, interferometrytag:joss.theoj.org,2005:Paper/39142022-12-19T15:08:09Z2022-12-20T00:01:26Zteiphy: A Python Package for Converting TEI XML Collations to NEXUS and Other Formatsacceptedv0.1.22022-09-22 12:35:27 UTC802022-12-19 15:08:09 UTC720224879JoeyMcCollumInstitute for Religion and Critical Inquiry, Australian Catholic University, Australia0000-0002-5647-0365RobertTurnbullMelbourne Data Analytics Platform, University of Melboune, Australia0000-0003-1274-675010.21105/joss.04879https://doi.org/10.5281/zenodo.7455638Pythonhttps://joss.theoj.org/papers/10.21105/joss.04879.pdfphylogenetics, text encoding, TEI, NEXUStag:joss.theoj.org,2005:Paper/34202022-12-08T21:58:29Z2022-12-09T03:31:51ZPyNM: a Lightweight Python implementation of Normative Modelingaccepted1.0.0b12022-03-11 18:20:42 UTC802022-12-08 21:58:29 UTC720224321AnnabelleHarveyCentre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, Université de Montréal, QC, Canada, Centre de Recherche du CHU Sainte-Justine, Université de Montréal, QC, Canada0000-0002-9940-8799GuillaumeDumasCentre de Recherche du CHU Sainte-Justine, Université de Montréal, QC, Canada, Mila - Quebec AI Institute, Université de Montréal, QC, Canada0000-0002-2253-184410.21105/joss.04321https://doi.org/10.5281/zenodo.7396721Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.04321.pdfNormative Modeling, Heterogeneity, Heteroskedasticity, Big Data, Centiles, LOESS, Gaussian Process, Stochastic Variational Gaussian Process, GAMLSS, Computational Psychiatry, Neuroscience