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

DOI

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

Identifier
DOI https://doi.org/10.17026/dans-xmp-fw6h
Metadata Access https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-xmp-fw6h
Provenance
Creator V.M. van Zoest
Publisher DANS Data Station Phys-Tech Sciences
Contributor M Th Koelen; A. Stein (Faculty of GeoInformation and Earth Science ITC, University of Twente)
Publication Year 2019
Funding Reference NWO 13728
Rights DANS Licence; info:eu-repo/semantics/restrictedAccess; https://doi.org/10.17026/fp39-0x58
OpenAccess false
Contact M Th Koelen (Faculty of Geo-Information Science and Earth Observation)
Representation
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Version 1.0
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Earth and Environmental Science; Environmental Research; Geosciences; Life Sciences; Natural Sciences