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

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.

Identifier
DOI https://doi.org/10.17026/dans-xmp-fw6h
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-rv-dmin
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:131890
Provenance
Creator Zoest, V.M. van
Publisher Data Archiving and Networked Services (DANS)
Contributor Stein, A.; University of Twente
Publication Year 2019
Rights info:eu-repo/semantics/restrictedAccess; DANS License; https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
OpenAccess false
Representation
Language English
Resource Type Dataset
Format R; csv
Discipline Atmospheric Sciences; Computer Science; Computer Science, Electrical and System Engineering; Engineering Sciences; Geosciences; Natural Sciences
Spatial Coverage Eindhoven