The intrinsic geometry of reading

Data Repository: The Intrinsic Geometry of Reading Data files associated with the manuscript "The intrinsic geometry of reading." The analysis code and notebooks are available in the associated GitHub repository: https://github.com/NeuroanatomyAndConnectivity/IntrinsicGeometryOfReading Contents Model results for Notebooks 2–5 data_nb_2_5.tar.gz contains the outputs of pre-run CPM models needed to reproduce the model performance plots in Notebooks 2–5. To use: Unpack the archive into the data/ folder inside your local clone of the code repository: tar -xzf data_nb_2_5.tar.gz -C /path/to/IntrinsicGeometryOfReading/data/ Update the data_dir path variable at the top of each notebook to point to the unpacked location: data_dir = '/path/to/IntrinsicGeometryOfReading/data/' Note: Data for Notebook 6 (Supplementary Figures S2–S5) is not included here due to file size. It is available upon request. Raw data for recreating datasets (Schaefer 400 parcellation) All raw data needed to recreate the analysis datasets from scratch are provided as CSVs for the Schaefer 400 parcellation. These can be used with Notebook 1 (nb1_make_a_dataset.ipynb) to rebuild subject-level dataset objects. The discovery_data_ordered.tar.gz also contains the parquet files from other parcellations. These can be used to reconstruct datasets when bevahioural data is available. Once datasets are reconstructed, full CPM analysiss can be rerun.与《阅读的内在几何》（The intrinsic geometry of reading）相关代码仓库所配套的数据文件。如需运行该关联代码仓库，请访问：https://github.com/NeuroanatomyAndConnectivity/IntrinsicGeometryOfReading。请下载此处收录的文件，解压后将其路径指定为脚本与关联Jupyter笔记本文档中的数据目录。