This repository contains data derived from the metabolic syndrome database originally developed within the Grupo de Bioingeniería y Biofísica Aplicada (GBBA), Universidad Simón Bolívar, and later made available through the GBBANet initiative, an online resource created to preserve and disseminate electrocardiographic databases for scientific research. The original GBBANet publication describes the metabolic syndrome database as part of a broader effort to provide high-quality ECG records and associated research data to the scientific community. The present repository includes two components only: (1) 12-lead ECG recordings stored in the compressed file Project_ECG_Database.zip, and (2) clinical data associated with the study participants provided in Clinical_Data_Metabolic_Syndrome_OGTT.xlsx. According to the original database description, the metabolic syndrome dataset was designed to evaluate patients with metabolic syndrome using an oral glucose tolerance test (OGTT) protocol combined with 12-lead electrocardiographic recording. Data were collected at baseline and at 30, 60, 90, and 120 minutes after the ingestion of 75 g of glucose during the OGTT protocol. The original study description indicates that the database included clinical and laboratory measurements together with 12-lead ECG recordings, and that the ECG data were provided in CSV format for each subject and time point. The ECG recordings were acquired at 1000 Hz. The participants included in the original metabolic syndrome study were male subjects aged 20 to 44 years, selected under specific inclusion criteria: non-smokers, no medical treatment, no physical disabilities, and no evident cardiovascular disease. The original report also states that the metabolic syndrome study included 25 subjects: 15 patients with metabolic syndrome and 10 healthy control subjects. The purpose of this repository is to support scientific research on metabolic syndrome, glucose-related cardiovascular and autonomic responses, ECG signal processing, and the development and validation of computational methods for biomedical analysis. This release is shared for academic and scientific use in order to facilitate reproducible research and improve access to physiological data in an area where publicly available datasets remain limited. No derived signal annotations or precomputed feature files are included in this release; only the original ECG CSV files contained in Project_ECG_Database.zip and the corresponding clinical data provided in Clinical_Data_Metabolic_Syndrome_OGTT.xlsx are distributed here. This dataset is intended for research and educational purposes. It is not a clinical decision-support tool and should not be used for direct medical diagnosis or treatment.