ASDC | Low-Cost-Sensors-AQ_MINTS-AI

Low-Cost Sensor AQ Level 2

Entry Title: Low Cost Sensors AQ MINTS-AI Data

Entry ID: Low-Cost-Sensors-AQ_MINTS-AI_1

Aerosols

Description

Low-Cost-Sensors-AQ_MINTS-AI is the ground site data collected by the Multi-Scale Integrated Intelligent Interactive Sensing (MINTS) 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.

DOI

10.5067/Low-Cost-Sensors-AQ/MINTS-AI

Citation Styles for this Dataset

Resources and Documentation

Earthdata Forum

PROJECT HOME PAGE

Multi-Scale Integrated Intelligent Interactive Sensing Home Page

SharedAirDFW Home Page

VIEW RELATED INFORMATION

DATA CITATION GUIDELINES

How to Cite ASDC Data

PUBLICATIONS

The Neighborhood Scale Variability of Airborne Particulates

Using Machine Learning for the Calibration of Airborne Particulate Sensors

From GCMD Science Keywords:

PARTICULATE MATTER (PM 10) > PARTICULATE MATTER
PARTICULATE MATTER (PM 1.0) > PARTICULATE MATTER
PARTICULATE MATTER (PM 2.5) > PARTICULATE MATTER

Data Distribution

Spatial Information

Spatial Coverage: (S: 33.97, N: 37.93), (W: -122.34, E: -117.14)
Spatial Coverage Type: Horizontal Vertical
Coordinate System: Cartesian
Granule Spatial Representation: Cartesian

Locations

TEXAS NORTHERN HEMISPHERE WESTERN HEMISPHERE TROPOSPHERE

Temporal Information

Temporal Coverage: 2023-06-10 - Present

Platforms

Permanent Land Sites

MINTS