A comprehensive suite for extracting neuron signals across multiple sessions in one-photon calcium imaging

The dataset consists of calcium imaging data utilized for developing and validating CaliAli, a specialized suite for extracting neural signals from one-photon calcium imaging sessions under free-moving conditions across multiple sessions. Key components of this dataset include: Simulation codes used to generate synthetic data for this study. Source data corresponding to each figure presented in the study. The raw calcium imaging dataset employed in the research. , Calcium imaging data was obtained with a miniaturized microscope with flexible light source input (T-scope V4, Physiotech Inc,  Japan). Data was processed following the steps described in the CaliAli online documentation: https://caliali-pv.github.io/CaliAli/, , # Data from: A comprehensive suite for extracting neuron signals across multiple sessions in one-photon calcium imaging [https://doi.org/10.5061/dryad.crjdfn3ck](https://doi.org/10.5061/dryad.crjdfn3ck) The dataset consists of raw and processed calcium imaging data utilized for developing and validating CaliAli, a specialized suite for extracting neural signals from one-photon calcium imaging sessions under free-moving conditions across multiple sessions. ## Description of Data and File Structure The dataset is organized into the following categories: * **video simulations**: Scripts for generating video simulations. * **Raw calcium imaging videos**: Unprocessed imaging data. * **Source data**: Processed data supporting key analyses. * **Extended source data**: Large datasets not included in *Source_data.xlsx*. * **Extracted neuronal signals**: Processed neuronal activity data. * **Codes**: Codes to process video data. ## Video simulations Codes used to generate synthetic data fo...,