High-Fidelity Analog/Digital Solar Irradiance and Environmental Parameters for ANFIS Modeling (Cúcuta, Colombia)

The data were collected at a specialized station located in Cúcuta, Norte de Santander, Colombia (Approx. 7.89∘ N, 72.50∘ W). This region is characterized by high solar resource potential and specific tropical climatic dynamics, making the dataset particularly valuable for training Adaptive Neuro-Fuzzy Inference Systems (ANFIS) under high-irradiance conditions and significant thermal fluctuations. This dataset provides a complete time series of high-precision measurements obtained with an EKO MS-80S Class A pyranometer. It offers a unique dual-signal perspective by capturing both raw analog voltages and processed digital outputs, enabling advanced research on sensor characterization and nonlinear modeling in tropical environments. Technical specifications and variable mapping. The dataset is structured around eight key characteristics: V_G and V_T [V]: Raw analog voltage signals (irradiance and temperature) prior to digital conversion. G_ana and G_dig [W/m²]: Global horizontal irradiance (GHI). Dual recording allows the ANFIS model to account for quantization and processing errors. T_ana and T_dig [°C]: Internal sensor temperature and solar panel temperature, essential for thermal drift compensation. Hum [% RH]: Internal relative humidity for quality control and signal integrity monitoring.