Geospatial data

NASA Low-Cost Sensor AQ Project

Low-Cost-Sensors-AQAirQino is the ground site data collected by the AirQino sensor network as part of the Low-Cost Air Quality Sensor Harmonization Database. Data collection for this product is ongoing. The Low-Cost Sensor AQ Harmonization aims to harmonize sensor networks by amalgamating measurements from a multitude of networks into one open access framework. Currently, data from 10 unique US-based sensor networks have been collected for redistribution in the archive. Data from each network is reformatted in a common data format with metadata embedded to streamline data processing. A key feature is a tier system in which the...

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Low-Cost-Sensors-AQAirQino is the ground site data collected by the AirQino sensor network as part of the Low-Cost Air Quality Sensor Harmonization Database. Data collection for this product is ongoing. The Low-Cost Sensor AQ Harmonization aims to harmonize sensor networks by amalgamating measurements from a multitude of networks into one open access framework. Currently, data from 10 unique US-based sensor networks have been collected for redistribution in the archive. Data from each network is reformatted in a common data format with metadata embedded to streamline data processing. A key feature is a tier system in which the team critically reviews each sensor network by their calibration efforts and subsequent data quality, providing data quality flags to help end users determine which sensor data best meets their target application. The framework allows users to search based on calibration criteria in addition to location, date range, and pollutant of interest. The sensor database is aimed at scientific end users seeking ground-based validation data for satellites and models alike but is also accessible to community scientists. The team is currently accepting new submissions! If you maintain a sensor network that you would like included, please contact the PI. Low-Cost-Sensors-AQBEACO2N Low-Cost-Sensors-AQBEACO2N is the ground site data collected by the Berkeley Environmental Air-quality & CO2 Network (BEACO2N) as part of the Low-Cost Air Quality Sensor Harmonization Database. Data collection for this product is ongoing. The Low-Cost Sensor AQ Harmonization aims to harmonize sensor networks by amalgamating measurements from a multitude of networks into one open access framework. Currently, data from 10 unique US-based sensor networks have been collected for redistribution in the archive. Data from each network is reformatted in a common data format with metadata embedded to streamline data processing. A key feature is a tier system in which the team critically reviews each sensor network by their calibration efforts and subsequent data quality, providing data quality flags to help end users determine which sensor data best meets their target application. The framework allows users to search based on calibration criteria in addition to location, date range, and pollutant of interest. The sensor database is aimed at scientific end users seeking ground-based validation data for satellites and models alike but is also accessible to community scientists. The team is currently accepting new submissions! If you maintain a sensor network that you would like included, please contact the PI. Low-Cost-Sensors-AQHAQPods Low-Cost-Sensors-AQHAQPods is the ground site data collected by the Hannigan Air Quality Pods (HAQ Pods) sensor network as part of the Low-Cost Air Quality Sensor Harmonization Database. Data collection for this product is ongoing. The Low-Cost Sensor AQ Harmonization aims to harmonize sensor networks by amalgamating measurements from a multitude of networks into one open access framework. Currently, data from 10 unique US-based sensor networks have been collected for redistribution in the archive. Data from each network is reformatted in a common data format with metadata embedded to streamline data processing. A key feature is a tier system in which the team critically reviews each sensor network by their calibration efforts and subsequent data quality, providing data quality flags to help end users determine which sensor data best meets their target application. The framework allows users to search based on calibration criteria in addition to location, date range, and pollutant of interest. The sensor database is aimed at scientific end users seeking ground-based validation data for satellites and models alike but is also accessible to community scientists. The team is currently accepting new submissions! If you maintain a sensor network that you would like included, please contact the PI. Low-Cost-Sensors-AQINSTEP Low-Cost-Sensors-AQINSTEP is the ground site data collected by the Inexpensive Network Sensor Technology Exploring Pollution (INSTEP) sensor network as part of the Low-Cost Air Quality Sensor Harmonization Database. Data collection for this product is ongoing. The Low-Cost Sensor AQ Harmonization aims to harmonize sensor networks by amalgamating measurements from a multitude of networks into one open access framework. Currently, data from 10 unique US-based sensor networks have been collected for redistribution in the archive. Data from each network is reformatted in a common data format with metadata embedded to streamline data processing. A key feature is a tier system in which the team critically reviews each sensor network by their calibration efforts and subsequent data quality, providing data quality flags to help end users determine which sensor data best meets their target application. The framework allows users to search based on calibration criteria in addition to location, date range, and pollutant of interest. The sensor database is aimed at scientific end users seeking ground-based validation data for satellites and models alike but is also accessible to community scientists. The team is currently accepting new submissions! If you maintain a sensor network that you would like included, please contact the PI. Low-Cost-Sensors-AQLove-my-Air-Denver Low-Cost-Sensors-AQLove-my-Air-Denver is the ground site data collected by the Love my Air Denver sensor network as part of the Low-Cost Air Quality Sensor Harmonization Database. Data collection for this product is ongoing. The Low-Cost Sensor AQ Harmonization aims to harmonize sensor networks by amalgamating measurements from a multitude of networks into one open access framework. Currently, data from 10 unique US-based sensor networks have been collected for redistribution in the archive. Data from each network is reformatted in a common data format with metadata embedded to streamline data processing. A key feature is a tier system in which the team critically reviews each sensor network by their calibration efforts and subsequent data quality, providing data quality flags to help end users determine which sensor data best meets their target application. The framework allows users to search based on calibration criteria in addition to location, date range, and pollutant of interest. The sensor database is aimed at scientific end users seeking ground-based validation data for satellites and models alike but is also accessible to community scientists. The team is currently accepting new submissions! If you maintain a sensor network that you would like included, please contact the PI. Low-Cost-Sensors-AQLove-my-Air-Wisconsin Low-Cost-Sensors-AQLove-my-Air-Wisconsin is the ground site data collected by the Love my Air Wisconsin sensor network as part of the Low-Cost Air Quality Sensor Harmonization Database. Data collection for this product is ongoing. The Low-Cost Sensor AQ Harmonization aims to harmonize sensor networks by amalgamating measurements from a multitude of networks into one open access framework. Currently, data from 10 unique US-based sensor networks have been collected for redistribution in the archive. Data from each network is reformatted in a common data format with metadata embedded to streamline data processing. A key feature is a tier system in which the team critically reviews each sensor network by their calibration efforts and subsequent data quality, providing data quality flags to help end users determine which sensor data best meets their target application. The framework allows users to search based on calibration criteria in addition to location, date range, and pollutant of interest. The sensor database is aimed at scientific end users seeking ground-based validation data for satellites and models alike but is also accessible to community scientists. The team is currently accepting new submissions! If you maintain a sensor network that you wo

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