<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Replication Data for:</dcterms:title><dcterms:identifier>https://doi.org/10.82210/NQSQKZ</dcterms:identifier><dcterms:creator>Paiva Pinto, Fernando Filipe</dcterms:creator><dcterms:publisher>Repositório Polen QTY</dcterms:publisher><dcterms:issued>2025-11-20</dcterms:issued><dcterms:modified>2025-11-20T16:41:30Z</dcterms:modified><dcterms:description>This dataset contains clinical, anthropometric, and biochemical information for 160,000 synthetic patients with Type 2 Diabetes Mellitus, generated for testing research data management tools. Variables include age, sex, body mass index (BMI), HbA1c levels, fasting glucose, and LDL cholesterol. The dataset simulates an observational study linked to the project “Measuring hepatic polyol pathway activity and connecting it with lipogenic glucose metabolism in Type 2 Diabetes patients” (ref. 2023.11517.PEX). All data are fully anonymized and synthetic, with no relation to real individuals.</dcterms:description><dcterms:subject>Engineering and Technology</dcterms:subject><dcterms:subject>Type 2 Diabetes Mellitus</dcterms:subject><dcterms:subject>Clinical Data</dcterms:subject><dcterms:subject>Anthropometry</dcterms:subject><dcterms:subject>Glycated Hemoglobin A</dcterms:subject><dcterms:subject>Fasting Blood Glucose</dcterms:subject><dcterms:IsReferencedBy>doi, http://doi.org/10.54941/ahfe1003517</dcterms:IsReferencedBy><dcterms:date>2025-11-20</dcterms:date><dcterms:contributor>Paiva Pinto, Fernando Filipe</dcterms:contributor><dcterms:contributor>João Pereira</dcterms:contributor><dcterms:contributor>Marta Costa</dcterms:contributor><dcterms:dateSubmitted>2025-11-20</dcterms:dateSubmitted><dcterms:license>CC0 1.0</dcterms:license></metadata>