Data and API

Daily PM10 and PM2.5 particulate matter, 2021-2025 (CAMS EAC4)

CAMSDaily2021 – 202534 locationsSatellite or reanalysisCC BY 4.0

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57,936 rows selected

Full dataset

This is the Parquet file the table reads. It opens in pandas, R, DuckDB or QGIS.

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()

Original files

The CSV files published in the RDS Guinea repository, archived under a DOI: the reference to cite.

aerosol_pm_journalier_2021_2025.csv2.2 MB95674a77614de3d482b25d261dc3758c60687a8ad549c8b409a2c3f20ad3c304

DOI 10.5281/zenodo.21051754

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