Panj River Hydrological Dataset (1970–1990)
Daily hydrological and meteorological observations at the Khirmandzho gauging station (Panj River, Tajikistan) for the period 1970–1990.
Data Sources
Hydrological data: Official publications of the "Hydrological Daily Journal. Basin of Central Asian Rivers. Amu Darya and Zarafshan Basins" (Khirmandzho gauging station).
Meteorological data: Dushanbe station (ID 38836) from the open archive Meteostat.
Processing: Merging, interpolation of missing values, addition of lags and rolling statistics (available in supplementary files – see below).
The data preprocessing and modeling were performed using the ML Pipeline PRO Suite software (State Registration Certificate No. 2026615844).
Dataset Structure
The main file panj_river_daily.parquet contains the following columns:
| Column | Description |
|---|---|
tavg |
Average daily air temperature (°C) |
tmin |
Minimum daily air temperature (°C) |
tmax |
Maximum daily air temperature (°C) |
raskhodvoda |
River discharge (m³/s) |
urovenvoda |
Water level (arbitrary units) |
prcp |
Daily precipitation total (mm) |
Frequency: Daily
Period: 1970-01-01 – 1990-12-31
Number of records: 7670
Basic Statistics
| Statistic | tavg | tmin | tmax | raskhodvoda | urovenvoda | prcp |
|---|---|---|---|---|---|---|
| count | 7670.00 | 7670.00 | 7670.00 | 7670.00 | 7670.00 | 7602.00 |
| mean | 15.00 | 8.44 | 22.43 | 774.52 | 367.73 | 1.68 |
| std | 9.45 | 7.96 | 10.80 | 636.88 | 134.45 | 5.02 |
| min | -13.80 | -22.30 | -7.70 | 22.75 | 69.75 | 0.00 |
| 25% | 7.40 | 2.30 | 13.70 | 301.98 | 258.85 | 0.00 |
| 50% | 15.60 | 9.00 | 23.50 | 442.57 | 331.36 | 0.00 |
| 75% | 23.30 | 15.00 | 32.00 | 1313.62 | 485.32 | 0.00 |
| max | 33.90 | 25.40 | 49.00 | 2657.71 | 845.48 | 81.90 |
Missing Values
| Column | Missing (%) |
|---|---|
| prcp | 0.89 |
Sample Data
import pandas as pd
df = pd.read_parquet("hf://datasets/TimeSeriesHub/panj-river-daily-1970-1990/data/panj_river_daily.parquet")
print(df.head())
| date | tavg | tmin | tmax | raskhodvoda | urovenvoda | prcp |
|---|---|---|---|---|---|---|
| 1970-01-01 | 7.8 | 5.5 | 11.4 | 336.23 | 211.06 | 12.5 |
| 1970-01-02 | 5.4 | 0.1 | 10.9 | 341.28 | 204.11 | 20.8 |
| 1970-01-03 | -0.3 | -2.3 | 3.4 | 347.45 | 196.64 | 6.8 |
| 1970-01-04 | 0.0 | -5.1 | 6.6 | 346.27 | 196.15 | 0.0 |
| 1970-01-05 | 1.9 | -4.3 | 6.9 | 344.40 | 196.07 | 0.0 |
Usage Examples
The dataset can be used for:
- Hydrological modeling and streamflow forecasting.
- Climate change analysis in the Panj River basin.
- Training machine learning models (regression, time series).
- Supporting engineering design of hydraulic structures (dams, bank protection).
Loading the data with Python
import pandas as pd
df = pd.read_parquet("hf://datasets/TimeSeriesHub/panj-river-daily-1970-1990/data/panj_river_daily.parquet")
# 'date' is the index; if you need it as a column:
df = df.reset_index()
Loading with R
library(arrow)
df <- read_parquet("hf://datasets/TimeSeriesHub/panj-river-daily-1970-1990/data/panj_river_daily.parquet")
License
The data are provided for scientific and educational purposes. When using this dataset, please cite the original sources and this repository.
Citation
If you use this dataset in your research, please cite it as:
Arabov, M.K., Fathulloev, N.I.(2025). Panj River Hydrological Dataset (1970–1990) [Data set]. Hugging Face. https://huggingface.co/datasets/TimeSeriesHub/panj-river-daily-1970-1990
Related Publications
If you use this dataset in your research, please also consider citing the following papers that describe the methodology and applications:
Fathulloev, N.I., Arabov, M.K. (2025). Ensembling Machine Learning Models to Enhance the Accuracy of Extreme Water Discharge Forecasting Considering Hydrometeorological Characteristics. Science and Innovation. Series of Geological and Technical Sciences, Tajik National University, No. 4, pp. 136–150. (in Russian)
Arabov, M.K., Fathulloev, N.I., Nurov, I.Zh. (2025). Forecast of Daily Water Discharge for the Design of Shore Protection Structures Based on a Hybrid Fuzzy Time Series Model. Proceedings of the International Conference “Scientific research of the SCO countries: synergy and integration”, Beijing, PRC, 30 Dec. 2025, pp. 122–129. DOI: 10.34660/INF.2025.73.25.059
Arabov, M.K., Fathulloev, N.I. (2026). ML Pipeline PRO Suite [Computer software]. Russian Federation State Registration Certificate No. 2026615844. (Software used for data processing and modeling)
Contact
For questions or suggestions, please contact the dataset authors:
- Mullosharaf Arabov (Kazan Federal University) – MKArabov@kpfu.ru
- Narzullo Fathulloev (Tajik National University) – Narzullo7570@mail.ru
Dataset creation date: 2026-03-19
- Downloads last month
- 9