Predicted Fundamental Parameters of Galactic Open Clusters from a Deep Learning Model

This dataset provides the predicted fundamental parameters of a sample of Galactic open clusters derived using a trained deep learning model.

The dataset contains the file prediction_clusters.csv, which lists the predicted cluster parameters including distance modulus, colour excess, age, and metallicity.

The columns in the catalogue are:

Cluster ID – identifier of the open cluster  
(m-M)0 – true distance modulus (mag)  
E(V-I) – colour excess (mag)  
log(Age/Myr) – logarithm of the cluster age in Myr  
[Fe/H] – metallicity computed as log10(Z/Zsun) with Zsun = 0.0152

All numerical values are rounded to two decimal places.

When using these data, please cite the associated manuscript and the Zenodo DOI of this dataset.