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Dataset of Implementation of a Cloud-Connected IoT System for Real-Time Indoor Air Quality Monitoring in Tropical Environments-Arduino Files

Title: Dataset of Implementation of a Cloud-Connected IoT System for Real-Time Indoor Air Quality Monitoring in Tropical Environments-Arduino Files
Authors: pramono, andi; Kurniawan, Bambang Kartono; Farchan, Muchammad; Agustina, Ira Audia; Azis, Baskoro; Putra, Wahyu Waskito
Publisher Information: Zenodo
Publication Year: 2025
Collection: Zenodo
Description: This repository contains the Arduino code (.ino file) used to develop an IoT system for real-time indoor air quality (IAQ) monitoring in a tropical environment. This code is an integral part of the research presented in the manuscript titled "Implementation of a Cloud-Connected IoT System for Real-Time Indoor Air Quality Monitoring in Tropical Environments." The script manages the core functionality of the monitoring device, including: Sensor Integration: It reads data from three key sensors: MQ-7: For detecting Carbon Monoxide (CO). MQ-135: For detecting a range of hazardous gases. DHT11: For measuring air temperature and humidity. Microcontroller Communication: The code handles serial communication between the Arduino Nano and the ESP32 microcontroller, which is responsible for Wi-Fi connectivity. Cloud Connectivity: It connects the system to the ThingSpeak platform, enabling real-time data logging and visualization. Data Transmission: The script is programmed to send sensor data to the cloud at regular intervals (every 15 minutes) to ensure consistent data logging and minimize the impact of network instability. Technical Details: Platform: Arduino IDE Microcontrollers: Arduino Nano and ESP32 Sensors: MQ-7, MQ-135, and DHT11 Libraries Required: WiFi Manager, Thingspeak, and Adafruit's DHT Sensor Library Purpose: To serve as a functional script for the IAQ monitoring system prototype and as an open dataset for other researchers and hobbyists. This code is provided as an open dataset to promote reproducibility and collaboration in the field of IoT and environmental monitoring.
Document Type: dataset
Language: unknown
Relation: https://zenodo.org/records/16947228; oai:zenodo.org:16947228; https://doi.org/10.5281/zenodo.16947228
DOI: 10.5281/zenodo.16947228
Availability: https://doi.org/10.5281/zenodo.16947228; https://zenodo.org/records/16947228
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number: edsbas.463D4B01
Database: BASE