Daily solar radiation and weather for 34 localities, 1981-2025 (NASA POWER)
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558,824 rows selected
Full dataset
This is the Parquet file the table reads. It opens in pandas, R, DuckDB or QGIS.
Parquet (14.5 MB)
SHA-256 44df0127a8b5fdb3ccf7b3589ca7f77fc47a26cf45408cabe257813fcabdb594
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/nasa-power-journalier.parquet")
df.groupby("localite_nom")["ghi"].mean().sort_values()library(arrow)
df <- read_parquet("https://kumascience.com/data/jeux/nasa-power-journalier.parquet")
head(df)INSTALL httpfs; LOAD httpfs;
SELECT *
FROM read_parquet('https://kumascience.com/data/jeux/nasa-power-journalier.parquet')
LIMIT 10;Original files
The CSV files published in the RDS Guinea repository, archived under a DOI: the reference to cite.
| journalier_1981_1990.csv | 7.4 MB | 6dcf360a1f73e84c8795e1b906badbaa7ce88a766063909e82ee5b4e7dd74db8 |
| journalier_1991_2000.csv | 7.8 MB | 9e11618540f822dcb84963bbc3b62f0505e2cce05255f47142e6f2cdd24161ae |
| journalier_2001_2010.csv | 9.5 MB | 35c99247757aec8f5e016db9d2e04ade5bfc42b593ab0a8e8cd5eb829792de41 |
| journalier_2011_2020.csv | 9.5 MB | 3aa7572c137be29c62510a24517f59d395a495de5f1db3cb2c3dcb2264ab4c2b |
| journalier_2021_2025.csv | 4.7 MB | daa5049165ec77f396a1f0d2814971f88381f93fd866511ac84a63bea731c334 |
Cite this dataset
CC BY 4.0. These data were obtained from the NASA Langley Research Center (LaRC) POWER Project funded through the NASA Earth Science / Applied Science Program.
Kalivogui, S. (2026). Référentiel de Données Solaires de la Guinée (RDS Guinée). Kuma Science. https://doi.org/10.5281/zenodo.21051754