Daily PM10 and PM2.5 particulate matter, 2021-2025 (CAMS EAC4)
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57,936 rows selected
Full dataset
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Parquet (988.6 KB)
SHA-256 bae8f8d4e5a1be50f04225ecb2d137edd62f86d0df1f45c2c20d631956349d0c
Read the file
The Parquet file can be read straight from its URL, without downloading it first.
import pandas as pd
df = pd.read_parquet("https://kumascience.com/data/jeux/cams-aerosols-journalier.parquet")
df.groupby("localite_nom")["pm2_5"].mean().sort_values()library(arrow)
df <- read_parquet("https://kumascience.com/data/jeux/cams-aerosols-journalier.parquet")
head(df)INSTALL httpfs; LOAD httpfs;
SELECT *
FROM read_parquet('https://kumascience.com/data/jeux/cams-aerosols-journalier.parquet')
LIMIT 10;Original files
The CSV files published in the RDS Guinea repository, archived under a DOI: the reference to cite.
| aerosol_pm_journalier_2021_2025.csv | 2.2 MB | 95674a77614de3d482b25d261dc3758c60687a8ad549c8b409a2c3f20ad3c304 |
Cite this dataset
CC BY 4.0. Generated using Copernicus Atmosphere Monitoring Service information 2025.
Kalivogui, S. (2026). Référentiel de Données Solaires de la Guinée (RDS Guinée). Kuma Science. https://doi.org/10.5281/zenodo.21051754