Processed Temperature Data for China (1990–2022): NOAA-Derived Daily Records with Spatial Attributes​

This dataset contains daily temperature records (minimum, maximum, and average) for China from 1990 to 2022, processed from NOAA’s raw data. The data was spatially filtered to include only points within China’s administrative boundaries and converted from Fahrenheit to Celsius. The dataset is formatted for easy integration with geospatial analyses and climate studies.​​Key Features​​​​Data Source​​: Derived from NOAA’s global temperature records, filtered for China using spatial joins with administrative boundaries.​​Variables Included​​:TEMP_C: Daily average temperature (°C).MAX_C/MIN_C: Daily maximum/minimum temperatures (°C).LATITUDE/LONGITUDE: Geographic coordinates (WGS84).Additional metadata (e.g., station IDs, dates).​​Processing Workflow​​:​​Spatial Filtering​​: Data was clipped to China’s boundaries using geopandas spatial joins (EPSG:4326 CRS).​​Unit Conversion​​: Temperatures converted from Fahrenheit to Celsius.​​Format​​: Saved as .pkl (Pickle) files for efficient storage and Python compatibility.​​Code Availability​​: The Python script used for processing is included (see "Code" section), with dependencies listed below.​​Intended Use​​Climate trend analysis, regional temperature modeling, or validation of satellite-derived products.Integration with GIS platforms (e.g., QGIS, ArcGIS) or Python-based workflows.​​Technical Details​​​​Software​​: Processed using Python 3.x with pandas, geopandas, and pyarrow.​​Coordinate System​​: WGS84 (EPSG:4326).​​Temporal Coverage​​: January 1, 1990 – December 31, 2022.