Ambient CO₂ time-series data for a typical academic office

Time series data for ambient atmospheric CO₂ levels in a typical academic office. The CSV file is in UNIX format, with lines terminated with ASCII LF (0xA) character. There are two columns per record: DATE,CO2 the DATE is given in ISO 8601 format. Generally there are 6 decimal figures in the "seconds" place, giving precision down the microsend level, though the actual timing accuracy is only like to be around a few milliseconds. The CO2 level is given in PPM. The sensor is a calibrated NDIR sensor bought Commercially Off The Shelf from co2meter.com. More details here: https://www.co2meter.com/blogs/news/6010192-how-does-an-ndir-co2-sensor-work The data is collected using custom Python scripts on a spare laptop.

本数据集为典型学术办公室环境大气二氧化碳（CO₂）浓度时序数据。该数据集以CSV格式存储，采用UNIX文件格式，行终止符为ASCII换行符（0xA）。每条记录包含两列数据：DATE与CO₂。其中DATE字段采用ISO 8601格式，其秒位通常保留6位小数，精度可达微秒级，但实际计时精度仅约为数毫秒。CO₂浓度以百万分比（PPM）为单位。本数据采集所用传感器为经校准的非色散红外（NDIR）传感器，购自co2meter.com的市售商用现货产品。相关详细说明可参见：https://www.co2meter.com/blogs/news/6010192-how-does-an-ndir-co2-sensor-work。本数据集通过自定义Python脚本在闲置笔记本电脑上完成采集。