Mozn Weather Dataset: Libya Station-Time Weather Observations

Mozn Weather Dataset (Updated July 2026) Libya station-time weather observations from 58 Mozn project weather stations. A public weather observation dataset from 58 weather stations associated with the Mozn project at Roaya for Astronomy and Space Applications Foundation across Libya. The dataset is provided as a complete station-time table, with missing observation periods represented explicitly so the data can be used for weather analysis, reliability studies, sensor-network monitoring, and time-series research. Prepared and released by Ayat Elawej, 2026 (Updated August 2026). Files Path Description mozn_weather_dataset_complete.csv Main dataset. A pooled complete station-time table for all 58 stations. per_station_weather_data/ The same complete dataset split into one CSV file per station. station_registry.csv Public station registry with station ID, name, city, country, latitude, longitude, elevation, and start date. LICENSE Dataset license and required attribution. Dataset Summary Stations: 58 Country: Libya Earliest station start date: 2025-06-15 Latest station start date: 2026-07-12 Dataset end date: 2026-07-31 Main dataset rows: 2,881,440 Rows with observations: 2,137,363 Explicit missing rows: 744,077 Time grid: 5 minutes, UTC Main Dataset mozn_weather_dataset_complete.csv is the main file. Each row represents one station at one expected UTC timestamp. Important columns: Column Description station_id Weather station ID. latitude Station latitude in decimal degrees. longitude Station longitude in decimal degrees. elevation_m Station elevation in meters. expected_time_utc Regular UTC timestamp for the station-time grid. date_utc UTC date for the row. data_present 1 if an observation exists for the time bin and 0 if no observation exists. n_observations_in_bin Number of raw observations that fell into that time bin. timezone Local timezone reported for the station. obs_time_utc Actual source observation timestamp when data is present. Blank when data_present = 0. obs_time_local Local observation timestamp when data is present. qc_status Source quality-control status. Rows with data_present = 0 intentionally keep measurement cells blank. No weather measurement values were imputed, interpolated, forward-filled, or invented. Per-Station Files per_station_weather_data/ contains the same complete table split by station, with 58 CSV files. Example filenames: I90583612_complete.csv IALWAH18_complete.csv IBARAS3_complete.csv IALGHE39_complete.csv ISABHA2_complete.csv Use these files to work with one station at a time without loading the full pooled CSV. Station Registry station_registry.csv contains one row per station, for a total of 58 stations. Column Description station_id Weather station ID. station_name Public station or display name. city City or locality. country Country. latitude Station latitude in decimal degrees. longitude Station longitude in decimal degrees. elevation_m Station elevation in meters. start_date First date included for that station. Measurement Columns The dataset includes the following weather and observation columns: temp_high_c, temp_low_c, temp_avg_c humidity_high_pct, humidity_low_pct, humidity_avg_pct windspeed_high_kmh, windspeed_low_kmh, windspeed_avg_kmh windgust_high_kmh, windgust_low_kmh, windgust_avg_kmh dewpoint_high_c, dewpoint_low_c, dewpoint_avg_c windchill_high_c, windchill_low_c, windchill_avg_c heatindex_high_c, heatindex_low_c, heatindex_avg_c pressure_max_hpa, pressure_min_hpa, pressure_trend_hpa precip_rate_mmh, precip_total_mm solar_radiation_high_wm2 uv_high winddir_avg_deg epoch Quick Start import pandas as pd registry = pd.read_csv("station_registry.csv") data = pd.read_csv("mozn_weather_dataset_complete.csv") print(registry.shape) # (58, 8) print(data.shape) # (2881440, 42) License This dataset is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0) . See LICENSE for the full license and required attribution.