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Journal of Open Source Software

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Just published in JOSS: 'GeoRacoon: A Python package for scalable, parallelized geospatial raster analysis' https://doi.org/10.21105/joss.10797

Journal of Open Source SoftwareGeoRacoon: A Python package for scalable, parallelized geospatial raster analysisLandauer et al., (2026). GeoRacoon: A Python package for scalable, parallelized geospatial raster analysis. Journal of Open Source Software, 11(126), 10797, https://doi.org/10.21105/joss.10797
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Just published in JOSS: 'LAMMPS-GUI: A Cross-Platform Graphical Tool to Learn and Explore Molecular Dynamics with LAMMPS' https://doi.org/10.21105/joss.11185

Journal of Open Source SoftwareLAMMPS-GUI: A Cross-Platform Graphical Tool to Learn and Explore Molecular Dynamics with LAMMPSKohlmeyer, A., (2026). LAMMPS-GUI: A Cross-Platform Graphical Tool to Learn and Explore Molecular Dynamics with LAMMPS. Journal of Open Source Software, 11(126), 11185, https://doi.org/10.21105/joss.11185
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Just published in JOSS: 'SOVABIDS: EEG-to-BIDS conversion software focused on automation, reproducibility and interoperability' https://doi.org/10.21105/joss.10146

Journal of Open Source SoftwareSOVABIDS: EEG-to-BIDS conversion software focused on automation, reproducibility and interoperabilityMantilla-Ramos et al., (2026). SOVABIDS: EEG-to-BIDS conversion software focused on automation, reproducibility and interoperability. Journal of Open Source Software, 11(126), 10146, https://doi.org/10.21105/joss.10146
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Just published in JOSS: 'PatientProfiles: An R package to identify patient characteristics in data mapped to the OMOP common data model' https://doi.org/10.21105/joss.09654

Journal of Open Source SoftwarePatientProfiles: An R package to identify patient characteristics in data mapped to the OMOP common data modelCatalà et al., (2026). PatientProfiles: An R package to identify patient characteristics in data mapped to the OMOP common data model. Journal of Open Source Software, 11(126), 9654, https://doi.org/10.21105/joss.09654
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