# 下载 数据集 （地理环境天气方向）
*文件分享*

在这里汇总了一些 数据集 包括 天气 空气 等数据！

## 目录

[TOC]

![00b2a2b343ea18daf68288e080070bee4011e50130db975ba9fd23669df146f1](https://diskmirror.lingyuzhao.top/DiskMirrorBackEnd/FsCrud/downLoad/1/Binary?fileName=Article/Image/3805075035565376/00b2a2b343ea18daf68288e080070bee4011e50130db975ba9fd23669df146f1.webp)

# 1. 墨西哥天气数据-01


>  Weather Data for Mexico City by SIH CONAGUA

```
task_categories:
  - time-series-forecasting
language:
  - es
tags:
  - weather
  - climate
  - Mexico City
  - historical data
pretty_name: Weather Data for Mexico City
license: cc-by-nc-4.0
size_categories:
  - 1M 小于 n 小于 10M
```

## Overview

This dataset contains weather data for Mexico City collected by the Sistema de Información Hidrológica (SIH) of the
Comisión Nacional del Agua (CONAGUA). The dataset includes historical weather records from multiple meteorological
stations in Mexico City.

### File Structure

- **`weather_mexico_city_by_sih_conagua.csv`**: This file contains aggregated weather data for Mexico City.
- **`raw_data`**: This folder includes individual CSV files with weather data from each meteorological station in Mexico
  City.

### Data Description

- **Source**: Comisión Nacional del Agua (CONAGUA), Sistema de Información Hidrológica (SIH)
- **Coverage**: Mexico City, Mexico
- **Time Period**: The dataset spans several years of historical weather data. Specific time frames can be found in the
  individual CSV files.
- **Variables**: The dataset includes key weather variables such as maximum temperature, minimum temperatura and
  rainfall.

### Dataset Usage

The dataset is valuable for researchers, data scientists, and developers interested in studying weather patterns,
forecasting, and climate change analysis in urban areas. It can also be used for machine learning projects related to
weather prediction and environmental studies.

## Dataset Details

### weather_mexico_city_by_sih_conagua.csv

- **Columns**:
    - `locality`: Name of the locality where the data was recorded.
    - `year`: Year of the recorded data.
    - `month`: Month of the recorded data.
    - `day`: Day of the recorded data.
    - `maxt`: Maximum temperature recorded for the day.
    - `mint`: Minimum temperature recorded for the day.
    - `rainfall`: Total precipitation recorded for the day.

### raw_data Folder

- **File Structure**: Each file is named with the station code and contains weather data specific to that station.

- **File Format**: CSV

- **Columns**: Similar to those in `weather_mexico_city_by_sih_conagua.csv`, with detailed data specific to each station.

## Data Source and Licensing

- **Source**: The data is obtained from the Sistema de Información Hidrológica (SIH) of the Comisión Nacional del Agua (CONAGUA).

- **Access Link**: [https://sih.conagua.gob.mx/basedatos/Climas/{station}.csv](https://sih.conagua.gob.mx/basedatos/Climas/{station}.csv)

- **License**: This dataset is shared under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0
  International (CC BY-NC-SA 4.0). Users must provide proper attribution to CONAGUA and cannot use the data for
  commercial purposes. For more details, visit [CONAGUA's data usage policies](https://www.gob.mx/conagua).

## Dataset Curator

- **Name**: Brandon Jesús Hernández Herrera
- **Affiliation**: Escuela Superior de Cómputo (ESCOM), Instituto Politécnico Nacional (IPN)

## Contributions and Acknowledgements

> license: cc-by-nc-4.0

This dataset was made possible through the efforts of CONAGUA and the Sistema de Información Hidrológica.

## 下载数据集

[《Article/Files/3805075035565376/weather_mexico_city_by_sih_conagua.csv》](https://diskmirror.lingyuzhao.top/DiskMirrorBackEnd/FsCrud/downLoad/1/Binary?fileName=Article/Files/3805075035565376/weather_mexico_city_by_sih_conagua.csv)


# 2. Air Pollutants Dataset for London Boroughs

## Description

This dataset contains air pollutants data for various London boroughs. It includes measurements of different pollutants,
such as PM2.5, CO, NOx, and more, collected at regular intervals.

## Data Source

The data was collected using the openair library in R. The openair package provides tools to analyse air pollution data,
including functions for importing, summarizing, and visualizing air quality data.

## Data Gathering Process

The data gathering process involved the following steps:

1. **Installation of openair**: The openair package was installed in R using the `install.packages("openair")` command.
2. **Data Import**: Air pollutants data for London boroughs was imported using the `importAURN()` function provided by
   the openair package.
3. **Data Preprocessing**: The imported data was preprocessed to handle missing values, perform any necessary data
   transformations, and ensure consistency.
4. **Data Export**: The preprocessed data was exported to CSV format for further analysis and sharing.

## Features

- **source**: Source of the data (e.g., monitoring station, dataset provider)
- **site**: Name of the monitoring site
- **code**: Code associated with the monitoring site
- **date**: Date and time of measurement
- **co**: Carbon Monoxide (CO) concentration (parts per million)
- **nox**: Nitrogen Oxides (NOx) concentration (parts per billion)
- **no2**: Nitrogen Dioxide (NO2) concentration (parts per billion)
- **no**: Nitric Oxide (NO) concentration (parts per billion)
- **so2**: Sulfur Dioxide (SO2) concentration (parts per billion)
- **pm2.5**: Particulate Matter (PM) 2.5 concentration (micrograms per cubic meter)
- **v2.5**: Fine Particulate Matter (PM) 2.5 concentration (micrograms per cubic meter)
- **nv2.5**: Non-Volatile Particulate Matter (PM) 2.5 concentration (micrograms per cubic meter)
- **pm10**: Particulate Matter (PM) 10 concentration (micrograms per cubic meter)
- **v10**: Fine Particulate Matter (PM) 10 concentration (micrograms per cubic meter)
- **nv10**: Non-Volatile Particulate Matter (PM) 10 concentration (micrograms per cubic meter)
- **o3**: Ozone (O3) concentration (parts per million)

## License

This dataset is released under the same license as the openair package, which is
the [GNU General Public License (GPL)](https://www.gnu.org/licenses/gpl-3.0.html).

### License Summary:

- You are free to:
    - Share: Copy and redistribute the material in any medium or format.
    - Adapt: Remix, transform, and build upon the material for any purpose, even commercially.
- Under the following terms:
    - Attribution: You must give appropriate credit to the openair package for the data collection.

For more details, please see the full text of
the [GNU General Public License (GPL)](https://www.gnu.org/licenses/gpl-3.0.html).

## Citation

If you use this dataset in your research or work, we kindly request that you cite it as follows:

Muhammad Luqman, Air Pollutants Dataset for London Boroughs. 2024. OpenAir Library. Available
at: https://huggingface.co/datasets/luqman8001/London_Air_Pollutants.

Thank you for acknowledging the use of our dataset!

## 下载数据集


[《Article/Files/3805075035565376/London_Air_Pollutants.csv》](https://diskmirror.lingyuzhao.top/DiskMirrorBackEnd/FsCrud/downLoad/1/Binary?fileName=Article/Files/3805075035565376/London_Air_Pollutants.csv)


# 3. Air Quality Monitoring Dataset (CO₂, LPG, Alcohol Levels & Classification)

## 📌 Overview

This dataset contains **air quality sensor readings** from an **IoT-based air monitoring system**. It includes
measurements of **CO₂ (Carbon Dioxide), LPG (Liquefied Petroleum Gas), and Alcohol concentration**, along with a *
*target label** indicating whether the air quality is **"Normal" or "Abnormal"** based on gas concentration levels.

## 📊 Dataset Description

- **Total Samples:** [Specify the number of rows]
- **Columns:**
    - `co2` → Carbon Dioxide level (PPM)
    - `lpg` → LPG concentration (PPM)
    - `alcohol` → Alcohol gas level (PPM)
    - `temperature` → Ambient temperature (°C)
    - `humidity` → Relative humidity (%)
    - `target` → **Label (Normal / Abnormal)**

---

## 📡 Data Collection Methodology

- **Hardware Used:**
    - **MQ135 Sensor** → Measures CO₂ levels
    - **MQ6 Sensor** → Detects LPG concentration
    - **MQ9 Sensor** → Detects Alcohol gas levels
    - **DHT11 Sensor** → Temperature & Humidity monitoring
    - **NodeMCU (ESP8266)** → IoT device for real-time data transmission

- **Procedure:**
    - Sensors were placed in various indoor and outdoor environments.
    - Data was collected at **fixed intervals** over multiple days.
    - The dataset was **balanced** to ensure an equal ratio of normal and abnormal cases.

---

## 🛠️ Preprocessing

- **Data Cleaning:** Removed inconsistent readings and sensor noise.
- **Normalization:** Scaled sensor values to ensure uniformity.
- **Labeling Criteria:** Threshold values for "Normal" and "Abnormal" air quality were defined based on environmental
  safety standards.

---

## 🚀 Applications

This dataset is suitable for:  
✅ **Machine Learning Models**: Train classifiers for air quality prediction.  
✅ **IoT-based Smart Air Monitoring Systems**.  
✅ **Feature Analysis & Environmental Studies**.

---

## 📄 License

This dataset is released under **CC BY 4.0 License** – You are free to use, modify, and share it with attribution.

## 下载数据集


[《Article/Files/3805075035565376/air_quality_dataset.csv》](https://diskmirror.lingyuzhao.top/DiskMirrorBackEnd/FsCrud/downLoad/1/Binary?fileName=Article/Files/3805075035565376/air_quality_dataset.csv)

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操作时间：2025-04-08 12:50:38 星期二 【时区：UTC 8】
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