CITATION.cff

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
type: software
title: "MetDataPy: A Source-Agnostic Toolkit for Meteorological Time-Series Data"
abstract: >
  MetDataPy is a Python package for ingesting, normalizing, quality-controlling,
  and preparing meteorological time-series data for machine learning applications.
  It provides a unified canonical schema, robust quality control algorithms,
  derived meteorological metrics, and ML-ready feature engineering with time-safe
  data splitting and scaling.
authors:
  - family-names: "Kartas"
    given-names: "Kyriakos"
    orcid: "https://orcid.org/0009-0001-6477-4676"
repository-code: "https://github.com/kkartas/MetDataPy"
url: "https://github.com/kkartas/MetDataPy"
keywords:
  - meteorology
  - weather data
  - time series
  - quality control
  - machine learning
  - data preprocessing
  - climate science
  - atmospheric science
license: MIT
version: 1.0.2
date-released: "2026-04-04"