2026-10-12T07:17:55Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33858445 2026-09-17T20:26:48Z category_24178 item_type_3 month_year_09_2026

dataset_SG_masks Elizaveta Korunova (24992005) Biochemistry and cell biology not elsewhere classified single particle tracking stress granules G3BP1 masks <p dir="ltr">This dataset contains stress-granule (SG) segmentation masks used for the spatially constrained Monte Carlo permutation (SPaCe-MC) analysis reported in <i>Spatially Constrained Monte Carlo Permutation Test Reveals Diffusion Changes Near Stress Granules</i>.</p><p dir="ltr">The SG masks define the spatial regions used to classify single-particle trajectories relative to stress granules and to generate spatially constrained null distributions. Together with the companion single-particle-tracking dataset, <code>dataset_SPT_GEMs</code>, these files enable reproduction of the SPaCe-MC analysis pipeline and the diffusion analyses presented in the study.</p><p dir="ltr">The Python implementation, analysis workflow, and documentation are available at: <a href="https://github.com/Korunova/space_mc_paper" target="_blank">https://github.com/Korunova/space_mc_paper</a></p> 2026-09-17T20:26:48Z Dataset Dataset 10.6084/m9.figshare.33858445.v1 https://figshare.com/articles/dataset/dataset_SG_masks/33858445 CC BY 4.0