Downloads provided by UsageCounts
This repository contains the data used for the analysis of the paper "Characterisation and calibration of PM sensors at high temporal resolution to reference grade performances" submitted to Heliyon and available as a pre-print: Bulot, Florentin M. J. and Ossont, Steven J. and Morris, Andrew and Basford, Philip J. and Easton, Natasha H. C. and Mitchell, Hazel L. and Foster, Gavin L. and Cox, Simon J. and Loxham, Matthew, Characterisation and Calibration of Low-Cost Pm Sensors at High Temporal Resolution to Reference-Grade Performance. Available at SSRN: https://ssrn.com/abstract=4360707 or http://dx.doi.org/10.2139/ssrn.4360707 The code used to conduct the data analysis is available at https://doi.org/10.5281/zenodo.7261417 . The files are available in .csv and in .rds (for R) formats. For details about the measurement equipment used during this study, please refer to the methods section of the paper. Description of the files. 202007_to_202107_nocs - contains the data from the low-cost sensors It contains the following headers: - "sensor" - sensor id - "site" - name of the air quality monitor hosting the sensor - "median_PM1" - PM1 mass concentration (ug/m3) - "median_PM10" - PM10 mass concentration (ug/m3) - "median_PM25" - PM25 mass concentration (ug/m3) - "median_PM4" - PM4 mass concentration (ug/m3) (only available for SPS30) - "median_n05" - particle number concentration (SPS30) of particles between 0.3um and 0.5um - "median_n1" - particle number concentration (SPS30) of particles between 0.3um and 1um - "median_n10" - particle number concentration (SPS30) of particles between 0.3um and 10um - "median_n25" - particle number concentration (SPS30) of particles between 0.3um and 2.5um - "median_n4" - particle number concentration (SPS30) of particles between 0.3um and 4um - "median_gr03um" - particle number concentration (PMS5003) of particles >0.3um - "median_gr05um" - particle number concentration (PMS5003) of particles >0.5um - "median_gr100um" - particle number concentration (PMS5003) of particles >10um - "median_gr10um" - particle number concentration (PMS5003) of particles >1um - "median_gr25um" - particle number concentration (PMS5003) of particles >2.5um - "median_gr50um" - particle number concentration (PMS5003) of particles >5um - "median_pm100_cf1" - PM10 mass concentration with cf1 calibration for PMS5003 - "median_pm10_cf1" - PM1 mass concentration with cf1 calibration for PMS5003 - "median_pm25_cf1" - PM25 mass concentration with cf1 calibration for PMS5003 - "date" - date, format "yyyy-mm-dd HH:MM:SS GMT" df_pm_2min - contains the PM mass concentration data from the Fidas 200S. It contains the following headers: - "PM2.5" - PM2.5 mass concentration (ug/m3) Fidas 200S - "PM10" - PM10 mass concentration (ug/m3) Fidas 200S - "PMtot" - PM total mass concentration (ug/m3) Fidas 200S - "PM1" - PM1 mass concentration (ug/m3) Fidas 200S - "date" - date, format "yyyy-mm-dd HH:MM:SS GMT" df_weather_2min - contains the weather data from the Fidas 200S It contains the following headers: - "rh" - relative humidity (%) - "dew_point_temperature" - dew point temperature (Celsius) - "air_pressure" - Air pressure (hPa) - "temperature" - temperature (Celsius) - "date" - date, format "yyyy-mm-dd HH:MM:SS GMT"
low-cost sensors, calibration, air quality
low-cost sensors, calibration, air quality
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 28 | |
| downloads | 46 |

Views provided by UsageCounts
Downloads provided by UsageCounts