This repository contains the long-term connectivity and link quality dataset collected on ChirpBox over 4 months (May -- September 2021) in the city of Shanghai, China. Scripts: In addition to the dataset itself, we provide evaluation scripts for data analysis and visualization, in order to facilitate data exploration and re-use. To make it clear how to use the scripts, we provide a Jupyter notebook -- dataset.ipynb for dataset visualization. Please check the notebook viewer for a preview. List of files: dataset_03052021_15092021.csv The dataset includes LoRa connectivity and link quality, as well as environmental information, collected from May 3 to September 15, 2021. data_analysis.py The script for dataset analysis and visualization. metadata_processing.py The script for pre-processing metadata into CSV files. dataset.ipynb Jupiter notebook with dataset visualization and metadata pre-processing examples. dataset_metadata.zip Metadata of the dataset in TXT and JSON formats. topology_map.png A map of node deployment for creating topology maps. How to use dataset: Download all files in this repository Unzip the dataset_metadata.zip to the dataset_metadata folder Run the Jupiter notebook -- dataset.ipynb and check the results Dependencies: Python 3: networkx seaborn plotly One can use pip to install the package dependencies: pip3 install networkx pip3 install seaborn pip3 install plotly pip3 install ipykernel pip3 install --upgrade nbformat pip3 install -U kaleido