C-RIDGE: Indoor CO2 Data Collection System for Large Venues Based on Prior Knowledge

This CO2 of C-RIDGE system dataset contains the high spatial and temporal resolution of the CO2<br> measures with the corresponding timestamp of static wireless sensors. <br> 45 sensors are densely deployed on the stand in the venue. The id and relative positions of sensors <br> are shown in device message. The sampling rate is adaptively adjusted according to the competition schedule. <br> The sampling interval is 5 minutes during the competition and 15 minutes otherwise. Please refer to <br> the description of the experimental setup in the data descriptor paper. In the process of data collection, the data cleaning process is performed to remove <br> and calibrate outliers and abnormal trend data. The script of data cleaning algorithm is <br> provided in this repository. For details about the data cleaning process, please refer to the script in <br> this repository and data descriptor paper. The dataset in this repository is processed version. The raw dataset is not included in this repository. Data is stored as CSV file. Each device is numbered in order of placement. There are 45 sensors in total,<br> 1 to 45 in the csv file are sensor numbers, timestamp as the China Standard Time (GMT+8), Each timestamp <br> corresponds to 45 CO2 concentration data from different sensors. To access the dataset, any programming language that can access the CSV file is appropriate. Users can <br> also directly open the CSV file. To successfully execute script files, Pycharm with Python 3.0 is required.