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...,