Baselight

Collocated PurpleAir Sensors And T640 Reference Data Located At Durango Complex In Phoenix, AZ May 2019: Case Study Demonstrating EPA's Performance Targets And Sensorstoolkit Python Code Library

U.S. Environmental Protection Agency

@usgov.epa_gov_collocated_purpleair_sensors_and_t640_referenc_eb56b812

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About this Dataset

Collocated PurpleAir Sensors And T640 Reference Data Located At Durango Complex In Phoenix, AZ May 2019: Case Study Demonstrating EPA's Performance Targets And Sensorstoolkit Python Code Library

Three PurpleAir sensors were collocated with a T640x reference monitor at the Durango Complex Air Quality Monitoring Station in Phoenix, Arizona in May 2019. Both instruments measured PM2.5 and PM10 and this collocation exercise was done to better understand how the sensor data compared to the reference data and what data cleaning and correcting would need to be applied to the sensor data to make these two dataset more comparable. These data files contain the raw data from this experiment at 1 minute and 20 second time resolution for the sensor data and 1 hour time resolution for the reference monitor data. Data provided courtesy of USEPA and our project partners Maricopa County Air Quality Department.

This dataset is associated with the following publication:
Kumar, M., S. Frederick, K. Barkjohn, and A. Clements. Sensortoolkit—A Python Library for Standardizing the Ingestion, Analysis, and Reporting of Air Sensor Data for Performance Evaluation. Sensors. MDPI, Basel, SWITZERLAND, 25(18): 5645, (2025).
Organization: U.S. Environmental Protection Agency
Last updated: 2025-09-16T14:37:36.878977
Tags: air-quality, air-sensor, particulate-matter, sensor-collocation, sensor-performance

Tables

PA01 Durango Pm25pm10

@usgov.epa_gov_collocated_purpleair_sensors_and_t640_referenc_eb56b812.pa01_durango_pm25pm10
  • 451.48 kB
  • 30,495 rows
  • 6 columns
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CREATE TABLE pa01_durango_pm25pm10 (
  "datetime" TIMESTAMP,
  "temp" DOUBLE,
  "rh" DOUBLE,
  "pm25a_atm" DOUBLE,
  "pm10a_atm" DOUBLE,
  "pm10b_atm" DOUBLE
);

PA03 Durango Pm25pm10

@usgov.epa_gov_collocated_purpleair_sensors_and_t640_referenc_eb56b812.pa03_durango_pm25pm10
  • 448.14 kB
  • 30,058 rows
  • 6 columns
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CREATE TABLE pa03_durango_pm25pm10 (
  "datetime" TIMESTAMP,
  "temp" DOUBLE,
  "rh" DOUBLE,
  "pm25a_atm" DOUBLE,
  "pm10a_atm" DOUBLE,
  "pm10b_atm" DOUBLE
);

PA05 Durango Pm25pm10

@usgov.epa_gov_collocated_purpleair_sensors_and_t640_referenc_eb56b812.pa05_durango_pm25pm10
  • 444.6 kB
  • 30,173 rows
  • 6 columns
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CREATE TABLE pa05_durango_pm25pm10 (
  "datetime" TIMESTAMP,
  "temp" DOUBLE,
  "rh" DOUBLE,
  "pm25a_atm" DOUBLE,
  "pm10a_atm" DOUBLE,
  "pm10b_atm" DOUBLE
);

PA0num Durango Pm25pm10 Data-dict

@usgov.epa_gov_collocated_purpleair_sensors_and_t640_referenc_eb56b812.pa0num_durango_pm25pm10_data_dict
  • 2.93 kB
  • 8 rows
  • 2 columns
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CREATE TABLE pa0num_durango_pm25pm10_data_dict (
  "files_with_pa0_num_durango_pm25pm10_name_are_purpleair_sensor" VARCHAR  -- Files With "PA0[num] Durango Pm25pm10.csv" File Name Are PurpleAir Sensor Data,
  "unnamed_1" VARCHAR  -- Unnamed: 1
);

Ratio Durango

@usgov.epa_gov_collocated_purpleair_sensors_and_t640_referenc_eb56b812.ratio_durango
  • 18.83 kB
  • 888 rows
  • 2 columns
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CREATE TABLE ratio_durango (
  "date" TIMESTAMP,
  "ref_ratio_value" DOUBLE
);

Ratio Durango Data-dict

@usgov.epa_gov_collocated_purpleair_sensors_and_t640_referenc_eb56b812.ratio_durango_data_dict
  • 2.58 kB
  • 2 rows
  • 2 columns
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CREATE TABLE ratio_durango_data_dict (
  "column_name" VARCHAR,
  "column_label" VARCHAR
);

Ref-met Durango May

@usgov.epa_gov_collocated_purpleair_sensors_and_t640_referenc_eb56b812.ref_met_durango_may
  • 36.98 kB
  • 888 rows
  • 6 columns
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CREATE TABLE ref_met_durango_may (
  "date" TIMESTAMP,
  "relhum" DOUBLE,
  "temp" DOUBLE,
  "pm10_contin" DOUBLE,
  "pm25" DOUBLE,
  "pm10c_contin" DOUBLE
);

Ref-met Durango May Data-dict

@usgov.epa_gov_collocated_purpleair_sensors_and_t640_referenc_eb56b812.ref_met_durango_may_data_dict
  • 2.87 kB
  • 8 rows
  • 2 columns
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CREATE TABLE ref_met_durango_may_data_dict (
  "the_file_ref_met_durango_may_csv_contains_reference_data" VARCHAR  -- The File "ref-met Durango May.csv" Contains Reference Data,
  "unnamed_1" VARCHAR  -- Unnamed: 1
);

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