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Air quality observation provenance metadata in Tuscany

This dataset provides provenance metadata of each calibration model adopted in Tuscany Cities (Firenze, Pisa, Livorno) and used to generate calibrated air quality data. The calibration models have been processed by CNR-IBE.

Data e Risorse

Metadati del Dataset

Identificativo del dataset N/A
Altro identificativo N/A
Temi del dataset N/A
Editore del Dataset N/A
Data di rilascio N/A
Data di modifica N/A
Copertura Geografica Area di competenza dell'unità organizzativa preposta
URI di GeoNames N/A
Lingue del dataset N/A
Estensione temporale N/A
Titolare N/A
Frequenza di aggiornamento N/A
Versione di N/A
Autore N/A

Informazioni supplementari

Nome campo Valore
Origine https://servicemap.snap4city.org/
Autore paolo nesi
Ultimo aggiornamento novembre 26, 2020, 18:36 (CET)
additional_theme http://inspire.ec.europa.eu/theme/ac,http://inspire.ec.europa.eu/theme/ef
alternate_identifier []
conforms_to [{"referenceDocumentation": [], "identifier": "https://inspire.ec.europa.eu/documents/commission-regulation-eu-no-13122014-10-december-2014-amending-regulation-eu-no-10892010-0", "description": {"it": ""}, "title": {"it": ""}}, {"referenceDocumentation": [], "identifier": "http://www.opengis.net/def/crs/EPSG/0/4326", "description": {"it": ""}, "title": {"it": ""}}]
contact_email paolo.nesi@unifi.it
contact_name Paolo Nesi
creator []
dcat_type http://inspire.ec.europa.eu/metadata-codelist/ResourceType/dataset
frequency ANNUAL_2
geographical_geonames_url http://www.geonames.org/3165361
identifier Air quality provenance metadata
is_version_of
issued 2020-11-20
language {ENG,ITA}
modified 2020-11-20
provenance The data are available in the Snap4City portal (https://servicemap.snap4city.org) and have been derived from the observations obtained through the sensor network and forecast models setup under the frameworkfor the European TRAFAIR project. Thanks to the collaboration with CNR-IBE, http://www.fi.ibimet.cnr.it
publisher_identifier
publisher_name
spatial POLYGON((10.160633321069001 43.88188014908394,11.473499532006501 43.88188014908394,11.473499532006501 43.448752618200714,10.160633321069001 43.448752618200714,10.160633321069001 43.88188014908394))
temporal_coverage []
temporal_end 2020-11-01T00:00:00.000Z
temporal_start 2020-10-15T00:00:00.000Z
theme [{"subthemes": [], "theme": "ENVI"}]
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