Datasets:
NUTS_ID stringlengths 5 5 | LEVL_CODE int8 3 3 | DATE timestamp[ns]date 2014-01-01 00:00:00 2024-12-31 00:00:00 | LATITUDE float32 27.8 70.8 | LONGITUDE float32 -17.84 44.7 | TEMPERATURE_AVG float32 -41.4 40.4 | PRECIPITATION float32 0 250 | RADIATION float32 0 45.9k |
|---|---|---|---|---|---|---|---|
ES705 | 3 | 2014-01-01T00:00:00 | 27.82362 | -15.6274 | 16.5 | 0 | 16,188 |
ES705 | 3 | 2014-01-02T00:00:00 | 27.82362 | -15.6274 | 16 | 0 | 16,033 |
ES705 | 3 | 2014-01-03T00:00:00 | 27.82362 | -15.6274 | 16.6 | 0 | 15,995 |
ES705 | 3 | 2014-01-04T00:00:00 | 27.82362 | -15.6274 | 18.1 | 0 | 14,958 |
ES705 | 3 | 2014-01-05T00:00:00 | 27.82362 | -15.6274 | 17.700001 | 0 | 16,158 |
ES705 | 3 | 2014-01-06T00:00:00 | 27.82362 | -15.6274 | 16.6 | 0 | 16,416 |
ES705 | 3 | 2014-01-07T00:00:00 | 27.82362 | -15.6274 | 17.200001 | 0 | 16,195 |
ES705 | 3 | 2014-01-08T00:00:00 | 27.82362 | -15.6274 | 19.6 | 6 | 16,001 |
ES705 | 3 | 2014-01-09T00:00:00 | 27.82362 | -15.6274 | 15.8 | 8 | 9,750 |
ES705 | 3 | 2014-01-10T00:00:00 | 27.82362 | -15.6274 | 16 | 0 | 16,184 |
ES705 | 3 | 2014-01-11T00:00:00 | 27.82362 | -15.6274 | 16.5 | 0 | 16,429 |
ES705 | 3 | 2014-01-12T00:00:00 | 27.82362 | -15.6274 | 16.5 | 0 | 16,375 |
ES705 | 3 | 2014-01-13T00:00:00 | 27.82362 | -15.6274 | 17.700001 | 1 | 15,823 |
ES705 | 3 | 2014-01-14T00:00:00 | 27.82362 | -15.6274 | 18 | 0 | 15,574 |
ES705 | 3 | 2014-01-15T00:00:00 | 27.82362 | -15.6274 | 18 | 0 | 15,693 |
ES705 | 3 | 2014-01-16T00:00:00 | 27.82362 | -15.6274 | 17.4 | 1 | 15,347 |
ES705 | 3 | 2014-01-17T00:00:00 | 27.82362 | -15.6274 | 17.5 | 0 | 16,069 |
ES705 | 3 | 2014-01-18T00:00:00 | 27.82362 | -15.6274 | 19.200001 | 0 | 15,141 |
ES705 | 3 | 2014-01-19T00:00:00 | 27.82362 | -15.6274 | 18.1 | 0 | 14,519 |
ES705 | 3 | 2014-01-20T00:00:00 | 27.82362 | -15.6274 | 18.6 | 0 | 17,018 |
ES705 | 3 | 2014-01-21T00:00:00 | 27.82362 | -15.6274 | 19 | 0 | 17,336 |
ES705 | 3 | 2014-01-22T00:00:00 | 27.82362 | -15.6274 | 18.5 | 1 | 15,840 |
ES705 | 3 | 2014-01-23T00:00:00 | 27.82362 | -15.6274 | 18.5 | 0 | 15,506 |
ES705 | 3 | 2014-01-24T00:00:00 | 27.82362 | -15.6274 | 18.1 | 0 | 13,791 |
ES705 | 3 | 2014-01-25T00:00:00 | 27.82362 | -15.6274 | 18.6 | 0 | 16,559 |
ES705 | 3 | 2014-01-26T00:00:00 | 27.82362 | -15.6274 | 18.200001 | 0 | 17,749 |
ES705 | 3 | 2014-01-27T00:00:00 | 27.82362 | -15.6274 | 17.9 | 0 | 17,850 |
ES705 | 3 | 2014-01-28T00:00:00 | 27.82362 | -15.6274 | 18.1 | 0 | 16,023 |
ES705 | 3 | 2014-01-29T00:00:00 | 27.82362 | -15.6274 | 17.700001 | 0 | 17,431 |
ES705 | 3 | 2014-01-30T00:00:00 | 27.82362 | -15.6274 | 17.200001 | 0 | 15,982 |
ES705 | 3 | 2014-01-31T00:00:00 | 27.82362 | -15.6274 | 17.200001 | 0 | 17,951 |
ES705 | 3 | 2014-02-01T00:00:00 | 27.82362 | -15.6274 | 17.799999 | 0 | 18,095 |
ES705 | 3 | 2014-02-02T00:00:00 | 27.82362 | -15.6274 | 17.9 | 0 | 17,375 |
ES705 | 3 | 2014-02-03T00:00:00 | 27.82362 | -15.6274 | 17.299999 | 0 | 18,122 |
ES705 | 3 | 2014-02-04T00:00:00 | 27.82362 | -15.6274 | 17.4 | 0 | 18,937 |
ES705 | 3 | 2014-02-05T00:00:00 | 27.82362 | -15.6274 | 17.5 | 0 | 18,289 |
ES705 | 3 | 2014-02-06T00:00:00 | 27.82362 | -15.6274 | 17 | 0 | 19,336 |
ES705 | 3 | 2014-02-07T00:00:00 | 27.82362 | -15.6274 | 17.5 | 0 | 18,447 |
ES705 | 3 | 2014-02-08T00:00:00 | 27.82362 | -15.6274 | 17 | 0 | 18,940 |
ES705 | 3 | 2014-02-09T00:00:00 | 27.82362 | -15.6274 | 17.700001 | 0 | 17,302 |
ES705 | 3 | 2014-02-10T00:00:00 | 27.82362 | -15.6274 | 18.1 | 0 | 16,347 |
ES705 | 3 | 2014-02-11T00:00:00 | 27.82362 | -15.6274 | 17.299999 | 0 | 19,808 |
ES705 | 3 | 2014-02-12T00:00:00 | 27.82362 | -15.6274 | 17.299999 | 0 | 19,658 |
ES705 | 3 | 2014-02-13T00:00:00 | 27.82362 | -15.6274 | 18.299999 | 0 | 18,675 |
ES705 | 3 | 2014-02-14T00:00:00 | 27.82362 | -15.6274 | 17.1 | 0 | 19,504 |
ES705 | 3 | 2014-02-15T00:00:00 | 27.82362 | -15.6274 | 15.8 | 7 | 13,412 |
ES705 | 3 | 2014-02-16T00:00:00 | 27.82362 | -15.6274 | 15.3 | 1 | 19,121 |
ES705 | 3 | 2014-02-17T00:00:00 | 27.82362 | -15.6274 | 16.700001 | 0 | 19,652 |
ES705 | 3 | 2014-02-18T00:00:00 | 27.82362 | -15.6274 | 17.9 | 0 | 17,584 |
ES705 | 3 | 2014-02-19T00:00:00 | 27.82362 | -15.6274 | 17.4 | 0 | 20,530 |
ES705 | 3 | 2014-02-20T00:00:00 | 27.82362 | -15.6274 | 16.6 | 0 | 19,236 |
ES705 | 3 | 2014-02-21T00:00:00 | 27.82362 | -15.6274 | 17.700001 | 0 | 16,976 |
ES705 | 3 | 2014-02-22T00:00:00 | 27.82362 | -15.6274 | 17 | 0 | 16,732 |
ES705 | 3 | 2014-02-23T00:00:00 | 27.82362 | -15.6274 | 17.6 | 0 | 15,939 |
ES705 | 3 | 2014-02-24T00:00:00 | 27.82362 | -15.6274 | 16.799999 | 0 | 18,829 |
ES705 | 3 | 2014-02-25T00:00:00 | 27.82362 | -15.6274 | 17.200001 | 0 | 18,140 |
ES705 | 3 | 2014-02-26T00:00:00 | 27.82362 | -15.6274 | 18 | 0 | 20,956 |
ES705 | 3 | 2014-02-27T00:00:00 | 27.82362 | -15.6274 | 18.9 | 0 | 21,714 |
ES705 | 3 | 2014-02-28T00:00:00 | 27.82362 | -15.6274 | 18.200001 | 0 | 22,057 |
ES705 | 3 | 2014-03-01T00:00:00 | 27.82362 | -15.6274 | 18.1 | 0 | 21,707 |
ES705 | 3 | 2014-03-02T00:00:00 | 27.82362 | -15.6274 | 17.6 | 0 | 22,102 |
ES705 | 3 | 2014-03-03T00:00:00 | 27.82362 | -15.6274 | 17.6 | 0 | 18,729 |
ES705 | 3 | 2014-03-04T00:00:00 | 27.82362 | -15.6274 | 17.6 | 0 | 20,218 |
ES705 | 3 | 2014-03-05T00:00:00 | 27.82362 | -15.6274 | 17.6 | 0 | 20,897 |
ES705 | 3 | 2014-03-06T00:00:00 | 27.82362 | -15.6274 | 18.1 | 0 | 21,854 |
ES705 | 3 | 2014-03-07T00:00:00 | 27.82362 | -15.6274 | 18.299999 | 0 | 20,961 |
ES705 | 3 | 2014-03-08T00:00:00 | 27.82362 | -15.6274 | 17.5 | 0 | 16,693 |
ES705 | 3 | 2014-03-09T00:00:00 | 27.82362 | -15.6274 | 18.200001 | 0 | 22,362 |
ES705 | 3 | 2014-03-10T00:00:00 | 27.82362 | -15.6274 | 17.6 | 0 | 19,258 |
ES705 | 3 | 2014-03-11T00:00:00 | 27.82362 | -15.6274 | 18.4 | 0 | 22,623 |
ES705 | 3 | 2014-03-12T00:00:00 | 27.82362 | -15.6274 | 18.299999 | 0 | 21,937 |
ES705 | 3 | 2014-03-13T00:00:00 | 27.82362 | -15.6274 | 17.6 | 0 | 24,134 |
ES705 | 3 | 2014-03-14T00:00:00 | 27.82362 | -15.6274 | 17.5 | 0 | 24,126 |
ES705 | 3 | 2014-03-15T00:00:00 | 27.82362 | -15.6274 | 18.1 | 0 | 23,510 |
ES705 | 3 | 2014-03-16T00:00:00 | 27.82362 | -15.6274 | 17.6 | 0 | 24,608 |
ES705 | 3 | 2014-03-17T00:00:00 | 27.82362 | -15.6274 | 17.700001 | 0 | 24,699 |
ES705 | 3 | 2014-03-18T00:00:00 | 27.82362 | -15.6274 | 18 | 0 | 24,622 |
ES705 | 3 | 2014-03-19T00:00:00 | 27.82362 | -15.6274 | 18.200001 | 0 | 23,270 |
ES705 | 3 | 2014-03-20T00:00:00 | 27.82362 | -15.6274 | 18.1 | 0 | 20,718 |
ES705 | 3 | 2014-03-21T00:00:00 | 27.82362 | -15.6274 | 18.1 | 0 | 19,218 |
ES705 | 3 | 2014-03-22T00:00:00 | 27.82362 | -15.6274 | 18.299999 | 0 | 23,341 |
ES705 | 3 | 2014-03-23T00:00:00 | 27.82362 | -15.6274 | 17.9 | 0 | 20,167 |
ES705 | 3 | 2014-03-24T00:00:00 | 27.82362 | -15.6274 | 18.299999 | 0 | 23,243 |
ES705 | 3 | 2014-03-25T00:00:00 | 27.82362 | -15.6274 | 19 | 0 | 25,765 |
ES705 | 3 | 2014-03-26T00:00:00 | 27.82362 | -15.6274 | 20.200001 | 0 | 25,983 |
ES705 | 3 | 2014-03-27T00:00:00 | 27.82362 | -15.6274 | 17.700001 | 0 | 24,725 |
ES705 | 3 | 2014-03-28T00:00:00 | 27.82362 | -15.6274 | 17.4 | 0 | 22,023 |
ES705 | 3 | 2014-03-29T00:00:00 | 27.82362 | -15.6274 | 18.4 | 0 | 18,922 |
ES705 | 3 | 2014-03-30T00:00:00 | 27.82362 | -15.6274 | 16.6 | 0 | 19,493 |
ES705 | 3 | 2014-03-31T00:00:00 | 27.82362 | -15.6274 | 18.200001 | 0 | 20,515 |
ES705 | 3 | 2014-04-01T00:00:00 | 27.82362 | -15.6274 | 18.9 | 0 | 17,382 |
ES705 | 3 | 2014-04-02T00:00:00 | 27.82362 | -15.6274 | 18.9 | 0 | 17,910 |
ES705 | 3 | 2014-04-03T00:00:00 | 27.82362 | -15.6274 | 17.6 | 0 | 20,958 |
ES705 | 3 | 2014-04-04T00:00:00 | 27.82362 | -15.6274 | 17.700001 | 0 | 23,075 |
ES705 | 3 | 2014-04-05T00:00:00 | 27.82362 | -15.6274 | 17.9 | 0 | 25,912 |
ES705 | 3 | 2014-04-06T00:00:00 | 27.82362 | -15.6274 | 18.6 | 0 | 25,130 |
ES705 | 3 | 2014-04-07T00:00:00 | 27.82362 | -15.6274 | 18.700001 | 0 | 23,258 |
ES705 | 3 | 2014-04-08T00:00:00 | 27.82362 | -15.6274 | 18.6 | 0 | 21,786 |
ES705 | 3 | 2014-04-09T00:00:00 | 27.82362 | -15.6274 | 18.5 | 0 | 25,397 |
ES705 | 3 | 2014-04-10T00:00:00 | 27.82362 | -15.6274 | 19.299999 | 0 | 21,255 |
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AGRI4CAST European Gridded Meteorological Data (25km Grid, 2014-2024)
Dataset Description
This dataset provides gridded daily agro-meteorological data at a 25 km resolution, covering the entire European continent. The data is derived from the European Commission's Joint Research Centre (JRC) AGRI4CAST portal.
The dataset spans from 2014 to 2024, offering a consistent time series of essential climate variables formatted for agricultural modeling, environmental research, and machine learning applications.
Usage
You can easily load this dataset using the Hugging Face datasets library:
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("lmoncla/agri4cast-meteorological-data-europe-2014-2024", split="train")
# Convert to a Pandas DataFrame for analysis
df = dataset.to_pandas()
# Display the first few rows
print(df.head())
Dataset Structure
Data Fields
The dataset consists of the following variables:
- Mean Air Temperature: Daily mean temperature, measured in degrees Celsius (°C).
- Sum of Precipitation: Total daily precipitation, measured in millimeters per day (mm/day).
- Total Global Radiation: Total daily global radiation, measured in kilojoules per square meter per day (KJ/m²/day).
Temporal & Spatial Specifications
- Temporal Resolution: Daily.
- Time Range: 2014 – 2024.
- Spatial Resolution: 25 km × 25 km grid cells.
- Geographic Coverage: Europe (JRC AGRI4CAST extent).
Figure 1: Map showing the 25 km grid cells coverage for Europe.
Licensing and Attribution
This dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Citation
Meteorological data provided by the European Commission, Joint Research Centre (JRC). Available at: https://agri4cast.jrc.ec.europa.eu/
Disclaimer
The original data was downloaded from the AGRI4CAST portal. This dataset is not affiliated with or officially endorsed by the European Commission. The redistribution of this data is done for accessibility purposes under the open data policy of the European Commission.
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