everWeather_2.0 Weather Data (CERTH-W)

everWeather_2.0 Weather Data (CERTH-W) The everWeather_2.0 Weather Data (CERTH-W) dataset contains structured environmental and meteorological measurements collected for weather analysis, forecasting, and machine learning applications. The dataset includes 300 observations with six core atmospheric and environmental variables: Temperature Humidity Luminosity Atmospheric Pressure Rain Percentage Wind Speed The dataset is intended to support research in environmental monitoring, predictive analytics, climate-aware systems, Internet of Things (IoT) applications, and data-driven weather modeling. Measurements are provided in tabular CSV format to facilitate easy integration into statistical analysis pipelines, machine learning workflows, and time-series forecasting frameworks. This dataset was curated and released by the Centre for Research and Technology Hellas (CERTH). Dataset Characteristics Format: CSV Number of Records: 300 Number of Features: 6 Domain: Weather and Environmental Data Language: English Potential Applications Weather forecasting and prediction Environmental analytics IoT sensor data research Machine learning benchmarking Time-series analysis Smart city and climate-aware applications Citation If you use this dataset in your research, please cite the dataset publication on Zenodo.