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Data · dataset · 2019

Development of an Automatic system for Mapping Air quality risks in Space and Time (DAMAST)

Listed in DANS Data Station Physical and Technical Sciences

The DAMAST project uses data from the ILM air quality monitoring network in Eindhoven which is part of the AiREAS civil initiative.

Description

This dataset contains the data from 2013-2017 on a number of air pollutants (PM10, PM2.5, PM1, UFP, NO2, O3) and additional variables measured (temperature, relative humidity, GPS location). It also contains the code used for data quality analysis, outlier detection, calibration, spatio-temporal modelling and mapping, and health impact assessment.

The dataset will be sent to DANS outside of EASY through SURF Filesender

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Pollution and contamination 71%
Provenance · 1 source records, 14 field assertions
SourceKeyLast seenRaw
DANS Data Station Physical and Technical Sciencesdoi:10.17026/DANS-XMP-FW6H13 d agoJSON v1
FieldAssertionExtractorEvidence
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