latamdata-py: Python Package for Latin American Research Datasets

Part of the Open Research Collection — 1,273+ datasets · Author: Juan Moisés de la Serna Tuya · UNIR

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Overview

latamdata-py is a Python package that provides one-line access to 38+ open research datasets from Latin America, covering neuroscience, mental health, epidemiology, and social determinants of health.

All datasets are free, open, and available under CC0 or CC-BY-4.0 licenses.

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Installation

pip install latamdata-py

Requirements: Python 3.8+ · pandas · requests

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Quick Start

import latamdata as ld

# List all available datasets
ld.list_datasets()

# Load a dataset as a pandas DataFrame
df = ld.load("alzheimer-latam")
print(df.head())

# Get metadata for a specific dataset
ld.info("mental-health-specialists")

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Available Datasets

Dataset ID	Title	Topic	DOI
alzheimer-latam	Alzheimer's Disease in Latin America (2000–2050)	Neuroscience	10.7910/DVN/UVHABW
mental-health-specialists	Mental Health Specialists in Ibero-America (2000–2026)	Mental Health	10.5281/zenodo.18984813
generative-ai-research	Generative AI in Academic Research (2022–2025)	AI & Education	—
psychological-wellbeing-latam	Psychological Wellbeing of Researchers in Latin America	Mental Health	—
global-mental-health	Global Mental Health Statistics	Epidemiology	—
ai-educational-impact-latam	AI Educational Impact in Latin America	AI & Education	—
mental-health-lockdown	Mental Health and Lockdown Dataset	Mental Health	—
adhd-latam	ADHD in Latin America — GBD 1990–2026	Neuroscience	—

Use ld.list_datasets() to see the full list of 38+ datasets at runtime.

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API Reference

latamdata.load(dataset_name, **kwargs)

Load a dataset as a pandas DataFrame.

df = ld.load("alzheimer-latam")

Parameter	Type	Description
dataset_name	str	Dataset identifier (see table above)
**kwargs		Extra arguments passed to pandas.read_csv()

latamdata.list_datasets()

Returns a DataFrame with all available datasets (name, title, DOI, keywords).

latamdata.info(dataset_name)

Returns a dict with metadata for a single dataset (title, URL, DOI, description, keywords).

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Citation

If you use latamdata-py in your research, please cite:

@software{serna_tuya_2026_latamdata,
  author    = {Serna Tuya, Juan Moisés},
  title     = {latamdata-py: One-line access to 38 open research datasets from Latin America},
  year      = {2026},
  version   = {1.0.0},
  doi       = {10.5281/zenodo.19145316},
  url       = {https://github.com/juanmoisesd/latamdata-py}
}

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License

Code: MIT · Data: CC0 1.0 Universal

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Juan Moisés de la Serna Tuya · UNIR · Harvard Dataverse