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README.md

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+# Dataset Card: Dual-Plant Water Supply Flow Time Series (Single Distribution Network)
+
+## Dataset Description
+### Overview
+This dataset provides high-frequency time-series measurements of water supply from **two water treatment plants operating within a single shared water distribution network**. Both plants are hydraulically coupled and exclusively subject to the hydraulic conditions and demand fluctuations of this common network, making the data well-suited for studying cross-plant flow correlations and network-level hydraulic behavior.
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+The data is sampled at **1-minute intervals** with standardized timestamps, and contains two core flow metrics: instantaneous flow rate and cumulative flow.
+
+### Data Specifications
+- **Data type**: Multivariate time series
+- **Temporal granularity**: 1 minute
+- **Timestamp format**: `yyyy-mm-dd HH:mm:ss` (local standard time)
+- **Coverage**: Two co-network water plants
+
+## Dataset Structure
+### Data Fields
+Each entry contains the following fields:
+
+| Field  | Description |
+|--------|-------------|
+| `timestamp` | Sampling time point, formatted as `yyyy-mm-dd HH:mm:ss` |
+| `f0` | **Instantaneous Flow Rate** — real-time flow value at the sampling moment, reflecting the current outlet flow intensity of the water plant |
+| `f1` | **Cumulative Flow** — totalized accumulated flow volume up to the corresponding timestamp, a monotonically increasing cumulative metric |
+
+### Data Files
+The dataset is split by plant and metric type, with separate CSV files for instantaneous flow and cumulative flow for each plant.
+
+## Potential Use Cases
+- Short-term and long-term time series forecasting of plant outlet flow
+- Hydraulic state estimation and calibration of water distribution networks
+- Anomaly and fault detection in water supply systems
+- Multi-plant correlation analysis and collaborative scheduling research
+- Benchmarking for time series prediction algorithms in the water industry