---
license: cc0-1.0
size_categories:
- 10K<n<100K
tags:
- time-series
- tsfile
- air-quality
- meteorology
- environmental
- timeseries
---

# Air Quality & Meteorology (TsFile 格式)

> **原数据集链接**：https://huggingface.co/datasets/neuralsorcerer/air-quality

本数据集由 HuggingFace 数据集 [`neuralsorcerer/air-quality`](https://huggingface.co/datasets/neuralsorcerer/air-quality) **转换为 TsFile 格式**，数据内容与原数据集完全一致。

- **原始数据集**：[neuralsorcerer/air-quality](https://huggingface.co/datasets/neuralsorcerer/air-quality)（DOI: 10.57967/hf/5729）
- **原作者**：neuralsorcerer (HuggingFace)
- **许可证**：cc0-1.0（公共领域）

## 转换说明

- 原数据集是单个 CSV（`air_quality.csv`），单一站点（加尔各答），转换后输出一个 TsFile（`train.tsfile`），不合并、不拆分。
- **不设 TAG**：单一站点、单一序列，`datetime` 全局唯一且严格单调递增（间隔恒为 1 小时），没有天然的 device 维度，所有列均为 FIELD。
- 原始 `datetime`（IST / UTC+5:30 本地时间，CSV 不带时区后缀）按**本地壁钟字面值**解析为 TsFile 的 Time 列（INT64，毫秒精度），不做时区偏移，读回时间与原 CSV 完全一致。
- 10 个变量全部以 **DOUBLE** 保留。
- **不丢弃任何列、任何行**（87672 行全部保留）。

---

# Air Quality & Meteorology Dataset

> 以下为原数据集介绍，内容保持一致。

## Dataset Description
This corpus contains **87,672 hourly records (10 variables + timestamp)** that realistically emulate air-quality and local-weather conditions for Kolkata, West Bengal, India. Patterns, trends and extreme events (Diwali fireworks, COVID-19 lockdown, cyclones, heat-waves) are calibrated to published CPCB, IMD and peer-reviewed summaries, making the data suitable for benchmarking, forecasting, policy-impact simulations and educational research.

The data are suitable for time-series forecasting, machine learning, environmental research, and air-quality policy simulation while containing **no real personal or proprietary information**.

## File Information

| File | Records | Approx. Size |
|------|---------|--------------|
| `air_quality.csv`（原始）/ `train.tsfile`（转换后） | 87,672 (hourly) | ~16 MB |

*(Rows = 10 years × 365 days (+ leap) × 24 h ≈ 87.7 k)*

## Columns & Descriptions

| Column | Unit / Range | Description |
|--------|--------------|-------------|
| `datetime` | ISO 8601 (IST) | Hour start timestamp (UTC + 05:30)。在 TsFile 中作为 Time 列（INT64 毫秒）。 |
| `pm25` | µg m⁻³ (15–600) | Particulate Matter < 2.5 µm. |
| `pm10` | µg m⁻³ (30–900) | Particulate Matter < 10 µm. |
| `no2`  | µg m⁻³ (5–80) | Nitrogen dioxide, traffic proxy. |
| `co`   | mg m⁻³ (0.05–4) | Carbon monoxide. |
| `so2`  | µg m⁻³ (1–20) | Sulphur dioxide. |
| `o3`   | µg m⁻³ (5–120) | Surface ozone. |
| `temp` | °C (12–45) | Dry-bulb air temperature. |
| `rh`   | % (20–100) | Relative humidity. |
| `wind` | m s⁻¹ (0.1–30) | 10 m wind speed. |
| `rain` | mm h⁻¹ (0–150) | Hourly precipitation. |

> 在 TsFile 中，`datetime` 作为 Time 列（INT64 毫秒），其余 10 列作为 FIELD（DOUBLE）。

## Intended Use Cases
- Environmental Research — seasonal/diurnal pollution dynamics, meteorological drivers
- Machine-Learning Benchmarks — forecasting, anomaly-detection, imputation
- Policy / "What-If" Simulation
- Extreme-Event Studies — Diwali spikes, cyclone wash-outs, heat-wave ozone episodes
- Teaching & Exploration

## License
This dataset is released under the **CC0-1.0 License** (public domain).