Hoshiyar, A., (2021). ordPens: An R package for Selection, Smoothing and Principal Components Analysis Ordinal Variables. Journal of Open Source Software, 6(68), 3828, https://doi.org/10.21105/joss.03828

Ponce et al., (2021). covid19.analytics: An R Package to Obtain, Analyze and Visualize Data from the 2019 Coronavirus Disease Pandemic. Journal of Open Source Software, 6(60), 2995, https://doi.org/10.21105/joss.02995

Rezaeiravesh et al., (2021). UQit: A Python package for uncertainty quantification (UQ) in computational fluid dynamics (CFD). Journal of Open Source Software, 6(60), 2871, https://doi.org/10.21105/joss.02871

Dome, T., (2023). CosmicProfiles: A Python package for radial profiling of finitely sampled dark matter halos and galaxies. Journal Open Source Software, 8(85), 5008, https://doi.org/10.21105/joss.05008

Eminizer et al., (2023). OpenMSIStream: A Python package for facilitating integration of streaming data in diverse laboratory environments. Journal Open Source Software, 8(83), 4896, https://doi.org/10.21105/joss.04896

Tierz et al., (2021). PyVOLCANS: A Python package to flexibly explore similarities and differences between volcanic systems. Journal of Open Source Software, 6(68), 3649, https://doi.org/10.21105/joss.03649

Druskat et al., (2023). Hexatomic: An extensible, OS-independent platform for deep multi-layer linguistic annotation of corpora. Journal Open Source Software, 8(86), 4825, https://doi.org/10.21105/joss.04825

The purpose of this study was to determine the effects of video-game experience and flight-stick position on flying performance. The study divided participants into 2 groups; center- and side-stick groups, which were further divided into high and low level of video-game experience subgroups. The experiment consisted of 7 sessions of simulated flying, and in the last session, the flight stick co...

Purcell et al., (2022). SISSO++: A C++ Implementation of the Sure-Independence Screening and Sparsifying Operator Approach. Journal Open Source Software, 7(71), 3960, https://doi.org/10.21105/joss.03960

Aguilar-Sanjuan et al., (2021). LDDS: Python package for computing and visualizing Lagrangian Descriptors Dynamical Systems. Journal of Open Source Software, 6(65), 3482, https://doi.org/10.21105/joss.03482