{"title":"BoARIO: A Python package implementing the ARIO indirect\u0000economic cost model","authors":"Samuel Juhel","doi":"10.21105/joss.06547","DOIUrl":"https://doi.org/10.21105/joss.06547","url":null,"abstract":"","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":"13 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141357493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yigitcan Özer, Leo Brütting, Simon J. Schwär, Meinard Müller
{"title":"libsoni: A Python Toolbox for Sonifying Music\u0000Annotations and Feature Representations","authors":"Yigitcan Özer, Leo Brütting, Simon J. Schwär, Meinard Müller","doi":"10.21105/joss.06524","DOIUrl":"https://doi.org/10.21105/joss.06524","url":null,"abstract":"","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":"7 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141360464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"BiGGer: A Model Transformation Tool written in Java for\u0000Bigraph Rewriting in GrGen.NET","authors":"Dominik Grzelak","doi":"10.21105/joss.06491","DOIUrl":"https://doi.org/10.21105/joss.06491","url":null,"abstract":"","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141355696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ComFiT: a Python library for computational field theory\u0000with topological defects","authors":"Vidar Skogvoll, Jonas Rønning","doi":"10.21105/joss.06599","DOIUrl":"https://doi.org/10.21105/joss.06599","url":null,"abstract":"","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":"30 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141355613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simulation Decomposition in Python","authors":"Pamphile T. Roy, Mariia Kozlova","doi":"10.21105/joss.06713","DOIUrl":"https://doi.org/10.21105/joss.06713","url":null,"abstract":"","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":" 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141365677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MARTINI is a modular Python package that takes smoothed-particle hydrodynamics (SPH) simulations of galaxies as input and creates synthetic spatially- and/or spectrally-resolved observations of the 21-cm radio emission line of atomic hydrogen (data cubes). The various aspects of the mock-observing process are divided logically into sub-modules handling the data cube, source galaxy, telescope beam pattern, noise, spectral model and SPH kernel. MARTINI is object-oriented: each sub-module provides a class (or classes) which can be configured as desired. For most sub-modules, base classes are provided to allow for straightforward customization. Instances of each sub-module class are given as parameters to an instance of a main"Martini"class; a mock observation is then constructed by calling a handful of functions to execute the desired steps in the mock-observing process.
{"title":"MARTINI: Mock Array Radio Telescope Interferometry of\u0000the Neutral ISM","authors":"K. Oman","doi":"10.21105/joss.06860","DOIUrl":"https://doi.org/10.21105/joss.06860","url":null,"abstract":"MARTINI is a modular Python package that takes smoothed-particle hydrodynamics (SPH) simulations of galaxies as input and creates synthetic spatially- and/or spectrally-resolved observations of the 21-cm radio emission line of atomic hydrogen (data cubes). The various aspects of the mock-observing process are divided logically into sub-modules handling the data cube, source galaxy, telescope beam pattern, noise, spectral model and SPH kernel. MARTINI is object-oriented: each sub-module provides a class (or classes) which can be configured as desired. For most sub-modules, base classes are provided to allow for straightforward customization. Instances of each sub-module class are given as parameters to an instance of a main\"Martini\"class; a mock observation is then constructed by calling a handful of functions to execute the desired steps in the mock-observing process.","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":" 37","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141369944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Pires, Anna Hepworth, Rebecca O’Leary, Jonathan Carroll, James Goldie, D. Marchiori, P. Melloy, Mark Padgam, Hugh Parsonage, Adam H. Sparks
{"title":"weatherOz: An API Client for Australian Weather and\u0000Climate Data Resources in R","authors":"R. Pires, Anna Hepworth, Rebecca O’Leary, Jonathan Carroll, James Goldie, D. Marchiori, P. Melloy, Mark Padgam, Hugh Parsonage, Adam H. Sparks","doi":"10.21105/joss.06717","DOIUrl":"https://doi.org/10.21105/joss.06717","url":null,"abstract":"","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":" 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141371076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Milan Klöwer, Maximilian Gelbrecht, Daisuke Hotta, Justin Willmert, Simone Silvestri, G. L. Wagner, Alistair White, Sam Hatfield, Tom Kimpson, Navid C Constantinou, Chris Hill
{"title":"SpeedyWeather.jl: Reinventing atmospheric general\u0000circulation models towards interactivity and extensibility","authors":"Milan Klöwer, Maximilian Gelbrecht, Daisuke Hotta, Justin Willmert, Simone Silvestri, G. L. Wagner, Alistair White, Sam Hatfield, Tom Kimpson, Navid C Constantinou, Chris Hill","doi":"10.21105/joss.06323","DOIUrl":"https://doi.org/10.21105/joss.06323","url":null,"abstract":"","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":" 49","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141374604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Allison Kubo Hutchison, L. Karlstrom, Tushar Mittal
Linear feature analysis plays a fundamental role in geospatial applications, from detecting infrastructure networks to characterizing geological formations. In this paper, we introduce linkinglines , an open-source Python package tailored for the clustering and feature extraction of linear structures in geospatial data. Our package leverages the Hough Transform, commonly used in image processing, performs clustering of line segments in the Hough Space, and then provides unique feature extraction methods and visualization. linkinglines em-powers researchers, data scientists, and analysts across diverse domains to efficiently process, understand, and extract valuable insights from linear features, contributing to more informed decision-making and enhanced data-driven exploration. We have used linkinglines to map dike swarms with thousands of segments associated with Large Igneous Provinces in Kubo Hutchison et al. (2023).
{"title":"LinkingLines: Using the Hough Transform to Cluster Line\u0000Segments and Mesoscale Feature Extraction","authors":"Allison Kubo Hutchison, L. Karlstrom, Tushar Mittal","doi":"10.21105/joss.06147","DOIUrl":"https://doi.org/10.21105/joss.06147","url":null,"abstract":"Linear feature analysis plays a fundamental role in geospatial applications, from detecting infrastructure networks to characterizing geological formations. In this paper, we introduce linkinglines , an open-source Python package tailored for the clustering and feature extraction of linear structures in geospatial data. Our package leverages the Hough Transform, commonly used in image processing, performs clustering of line segments in the Hough Space, and then provides unique feature extraction methods and visualization. linkinglines em-powers researchers, data scientists, and analysts across diverse domains to efficiently process, understand, and extract valuable insights from linear features, contributing to more informed decision-making and enhanced data-driven exploration. We have used linkinglines to map dike swarms with thousands of segments associated with Large Igneous Provinces in Kubo Hutchison et al. (2023).","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":" 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141373994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ncompare: A Python package for comparing netCDF\u0000structures","authors":"Daniel E. Kaufman, Walter E. Baskin","doi":"10.21105/joss.06490","DOIUrl":"https://doi.org/10.21105/joss.06490","url":null,"abstract":"","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":"104 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141381466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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