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Sasha68960/Open_Meteo_weather_dataset_from_2024_to_2025

license: mit language: en task_categories: - tabular-regression - environmental-science - agriculture Hungary Weather & Soil Dataset (2024–2025) This dataset contains hourly meteorological and soil data from 8 locations across Hungary (Budapest, Debrecen, Szeged, Győr, Miskolc, Pécs, Nyíregyháza, Kecskemét) from January 1, 2024 to September 24, 2025, sourced via the Open-Meteo Historical Weather API. 🔍 Key Features Soil temperature at 0cm, 6cm… See the full description on the dataset page: https://huggingface.co/datasets/Sasha68960/Open_Meteo_weather_dataset_from_2024_to_2025.

sourceHugging Faceupdated 4mo agoView on Hugging Face
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license: mit language: en task_categories:

  • —tabular-regression
  • —environmental-science
  • —agriculture ---

Hungary Weather & Soil Dataset (2024–2025)

This dataset contains hourly meteorological and soil data from 8 locations across Hungary (Budapest, Debrecen, Szeged, Győr, Miskolc, Pécs, Nyíregyháza, Kecskemét) from January 1, 2024 to September 24, 2025, sourced via the Open-Meteo Historical Weather API.

🔍 Key Features

  • —Soil temperature at 0cm, 6cm, 18cm, and 54cm depths
  • —Weather variables: air temperature, wind, humidity, precipitation, pressure
  • —Location metadata: latitude, longitude, city name
Note on Missing Data: Despite requests, all soil_moisture_*, evapotranspiration, and snow_depth fields returned as entirely missing (NaN). This suggests limited availability of these variables through the current Open-Meteo API, even when using the ERA5 model. Only soil_temperature_* and basic weather variables are populated.

Features

FeatureDescription
timeTimestamp (hourly)
soil_temperature_0cmSoil temp at surface (°C)
soil_temperature_6cmSoil temp at 6 cm depth (°C)
... add others as needed ...
locationCity name
latitude, longitudeCoordinates

Size

  • —Total records: 121,536
  • —Locations: 8
  • —Time range: 2024-01-01 to 2025-09-24
  • —Format: CSV

Limitations

  • —Soil moisture not available via Open-Meteo at time of access.
  • —Use only for non-commercial, educational, or research purposes.

How to Load in Python

python
from datasets import load_dataset

ds = load_dataset("MWasil/Open_Meteo_weather_dataset_from_2024_to_2025")
df = ds["train"].to_pandas()