Psilocin fosters neuroplasticity in iPSC-derived human cortical neurons

This dataset comprises a collection of structured Excel files containing quantitative measurements used to generate the graphs of the associated study on psilocin-induced neuronal plasticity. The data originate from experiments performed on human cortical neurons differentiated from induced pluripotent stem cells (iPSCs) derived from independent donors (cell lines).
Each dataset is organized in tabular format and includes standardized variables describing experimental conditions and outcomes. Core variables include State (health status), State_Nr (cell line identifier), State_State_Nr_combined (combined identifier), Batch (independent differentiation rounds), Treatment (encoded experimental conditions), and one or more dependent variables representing measured outcomes. These outcomes include morphological and functional readouts such as BDNF particle density per neurite length, protein levels (e.g., Akt, pAkt), neurite complexity metrics, synaptic protein distribution, and electrophysi..., , # Data from: Psilocin fosters neuroplasticity in iPSC-derived human cortical neurons

Dataset DOI: [10.5061/dryad.xsj3tx9w3](https://doi.org/10.5061/dryad.xsj3tx9w3)

## Description of the data and file structure

### General Information

The provided data consist of Excel files containing all relevant information required for statistical analyses and for generating the graphs presented in the manuscript. The data enable transparency of published graphs and support statistical re-evaluation. If the data are referenced, we kindly request citation: Schmidt et al. (2026) Psilocin fosters neuroplasticity in iPSC-derived human cortical neurons. eLife 14:RP104006.

For precise details on how the experiment was conducted, please consult the “Materials and Methods” section of the paper.

Each Excel file includes the following variables:

* State
* State_Nr
* State_State_Nr_combined
* Batch
* Treatment
* Dependent variable (measured outcome)

#### Definitions of variables
 
**State**

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