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      "value": "[{\"referenceDocumentation\": [], \"identifier\": 
            
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u-no-13122014-10-december-2014-amending-regulation-eu-no-10892010-0\", 
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u-no-13122014-10-december-2014-amending-regulation-eu-no-10892010-0\", 
            
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{\"referenceDocumentation\": [], \"identifier\": 
            
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\"http://www.opengis.net/def/crs/EPSG/0/4326\", \"description\": 
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\"http://www.opengis.net/def/crs/EPSG/0/4326\", \"description\": 
            
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{\"it\": \"\"}, \"title\": {\"it\": \"\"}}]"
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{\"it\": \"\"}, \"title\": {\"it\": \"\"}}]"
            
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      "key": "contact_email",
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      "value": "paolo.nesi@unifi.it"
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      "value": "paolo.nesi@unifi.it"
            
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    {
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    {
            
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      "key": "contact_name",
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      "key": "contact_name",
            
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      "value": "Paolo Nesi"
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      "value": "Paolo Nesi"
            
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    {
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    {
            
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      "key": "creator",
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      "key": "dcat_type",
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      "value": 
            
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"http://inspire.ec.europa.eu/metadata-codelist/ResourceType/dataset"
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"http://inspire.ec.europa.eu/metadata-codelist/ResourceType/dataset"
            
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    {
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    {
            
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      "key": "frequency",
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      "key": "frequency",
            
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      "value": "CONT"
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      "value": "CONT"
            
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    {
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    {
            
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      "key": "geographical_geonames_url",
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      "key": "geographical_geonames_url",
            
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      "value": "http://www.geonames.org/3165361"
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      "value": "http://www.geonames.org/3165361"
            
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    },
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    {
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    {
            
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      "key": "holder_identifier",
            
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      "value": "trafair"
            
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    {
            
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      "key": "holder_name",
            
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      "value": "Trafair"
            
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    {
            
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      "key": "identifier",
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      "key": "identifier",
            
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      "value": "air_quality_prediction_coverage_date"
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      "value": "air_quality_prediction_coverage_date"
            
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    {
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    {
            
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      "key": "is_version_of",
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      "key": "is_version_of",
            
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      "value": ""
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      "value": ""
            
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    },
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    },
            
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    {
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    {
            
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      "key": "issued",
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      "key": "issued",
            
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      "value": "2020-06-09"
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      "value": "09-06-2020"
            
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    },
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    {
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    {
            
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      "key": "language",
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      "key": "language",
            
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      "value": "{ENG,ITA}"
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      "value": "{ENG,ITA}"
            
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    },
            
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    {
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    {
            
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      "key": "modified",
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      "key": "modified",
            
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      "value": "2020-06-09"
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      "value": "09-06-2020"
            
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    },
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    },
            
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    {
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    {
            
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      "key": "provenance",
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      "key": "provenance",
            
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      "value": "The Predictions are visibile and available in the 
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      "value": "The Predictions are visibile and available in the 
            
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Snap4City platform (https://www.snap4city.org) and are based on the 
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Snap4City platform (https://www.snap4city.org) and are based on the 
            
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GRAL predictive Model."
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GRAL predictive Model."
            
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    {
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    {
            
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      "key": "publisher_identifier",
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      "key": "publisher_identifier",
            
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      "value": ""
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      "value": ""
            
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    {
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      "key": "publisher_name",
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      "key": "publisher_name",
            
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      "value": ""
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      "value": ""
            
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    },
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    {
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    {
            
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      "key": "sample_query",
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      "key": "sample_query",
            
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      "value": 
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      "value": 
            
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ight=542&srs=EPSG:4326&format=image/gif&time=2019-10-02T06:00:00.000Z"
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ight=542&srs=EPSG:4326&format=image/gif&time=2019-10-02T06:00:00.000Z"
            
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    {
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    {
            
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      "key": "spatial",
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      "key": "spatial",
            
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      "value": "POLYGON((10.160633321069001 
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      "value": "POLYGON((10.160633321069001 
            
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43.88188014908394,11.473499532006501 
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43.88188014908394,11.473499532006501 
            
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43.88188014908394,11.473499532006501 
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43.88188014908394,11.473499532006501 
            
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43.448752618200714,10.160633321069001 
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43.448752618200714,10.160633321069001 
            
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43.448752618200714,10.160633321069001 43.88188014908394))"
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43.448752618200714,10.160633321069001 43.88188014908394))"
            
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    {
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    {
            
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      "key": "temporal_coverage",
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      "key": "temporal_coverage",
            
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      "value": "[]"
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      "value": "[]"
            
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    {
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      "key": "temporal_end",
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      "key": "temporal_end",
            
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      "value": "2020-11-01T00:00:00.000Z"
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      "value": "2020-11-01T00:00:00.000Z"
            
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    {
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    {
            
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      "key": "temporal_start",
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      "value": "2020-25-05T20:00:00.000Z"
            
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    },
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    {
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    {
            
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      "key": "theme",
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      "key": "theme",
            
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      "value": "[{\"subthemes\": [], \"theme\": \"ENVI\"}]"
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      "value": "[{\"subthemes\": [], \"theme\": \"ENVI\"}]"
            
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    }
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  "id": "e15f48c3-420d-4b02-b203-66c40496476f",
            
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  "isopen": true,
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  "isopen": true,
            
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  "license_id": "cc-by",
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  "license_id": "cc-by",
            
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  "license_title": "Creative Commons Attribution",
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  "license_title": "Creative Commons Attribution",
            
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  "license_url": "http://www.opendefinition.org/licenses/cc-by",
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  "license_url": "http://www.opendefinition.org/licenses/cc-by",
            
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  "maintainer": "",
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  "maintainer": "",
            
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  "maintainer_email": "",
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  "maintainer_email": "",
            
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  "metadata_created": "2020-06-09T11:50:17.651838",
            
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  "metadata_modified": "2020-11-02T12:23:53.037472",
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  "name": "air_quality_prediction_coverage_date",
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  "name": "air_quality_prediction_coverage_date",
            
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  "notes": "The predictions are realised with a definition of 4x4 
134
  "notes": "The predictions are realised with a definition of 4x4 
            
127
meters, at both 3 and 6 meters. The data are available in the 
135
meters, at both 3 and 6 meters. The data are available in the 
            
128
Snap4City portal (https://servicemap.snap4city.org) and have been 
136
Snap4City portal (https://servicemap.snap4city.org) and have been 
            
129
derived from the observations obtained through the sensor network and 
137
derived from the observations obtained through the sensor network and 
            
130
forecast models setup under the framework for the European TRAFAIR 
138
forecast models setup under the framework for the European TRAFAIR 
            
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project.",
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project.",
            
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  "num_resources": 3,
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  "num_tags": 2,
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2020-05-25T17:11:16.775491",
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    "created": "2020-05-25T17:11:16.775491",
            
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    "description": "Il progetto TRAFAIR: sviluppare servizi innovativi 
145
    "description": "Il progetto TRAFAIR: sviluppare servizi innovativi 
            
138
combinando dati su qualit\u00e0 dell\u2019aria, condizioni 
146
combinando dati su qualit\u00e0 dell\u2019aria, condizioni 
            
139
meteorologiche e flusso di traffico per generare nuove informazioni 
147
meteorologiche e flusso di traffico per generare nuove informazioni 
            
140
utili ai cittadini e alle entit\u00e0 
148
utili ai cittadini e alle entit\u00e0 
            
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governative.\r\nL\u2019iniziativa, che ha durata biennale (2018-2020) 
149
governative.\r\nL\u2019iniziativa, che ha durata biennale (2018-2020) 
            
142
ed \u00e8 cofinanziato dal programma europeo \u201cConnecting Europe 
150
ed \u00e8 cofinanziato dal programma europeo \u201cConnecting Europe 
            
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Facility\u201d CEF nell\u2019ambito delle telecomunicazioni, vede come 
151
Facility\u201d CEF nell\u2019ambito delle telecomunicazioni, vede come 
            
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capofila l\u2019Universit\u00e0 di Modena e Reggio Emilia e come 
152
capofila l\u2019Universit\u00e0 di Modena e Reggio Emilia e come 
            
145
partner l\u2019Universit\u00e0 degli Studi di Firenze, Universidade de 
153
partner l\u2019Universit\u00e0 degli Studi di Firenze, Universidade de 
            
146
Santiago del Compostela (ES), il Comune di Modena, Regione Toscana, 
154
Santiago del Compostela (ES), il Comune di Modena, Regione Toscana, 
            
147
Concello de Santiago del Compostela (ES), Fundacion Publica Gallega 
155
Concello de Santiago del Compostela (ES), Fundacion Publica Gallega 
            
148
Centro Tecnologico de Supercomputacion de Galicia (ES), Universidad de 
156
Centro Tecnologico de Supercomputacion de Galicia (ES), Universidad de 
            
149
Zaragoza (ES), Lepida S.p.a. (IT).\r\nhttp://trafair.eu/",
157
Zaragoza (ES), Lepida S.p.a. (IT).\r\nhttp://trafair.eu/",
            
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        "status": "System error during archival",
            
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        "status_id": 23,
            
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        "updated": "2023-06-23T18:05:55.615485",
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        "updated": "2023-06-23T18:05:55.615485",
            
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      "datastore_active": false,
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      "datastore_active": false,
            
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      "description": "The predictions for the city of Florence are 
198
      "description": "The predictions for the city of Florence are 
            
t
191
realised with a definition of 4x4 meters, at both 3 and 6 meters. The 
t
199
realised with a definition of 4x4 meters, at both 3 and 6 meters 
            
192
data are available in the Snap4City portal 
200
(respectively GRALheatmap and GRALheatmap6m). The data are available 
            
193
(https://servicemap.snap4city.org) and have been derived from the 
201
in the Snap4City portal (https://servicemap.snap4city.org) and have 
            
194
observations obtained through the sensor network and forecast models 
202
been derived from the observations obtained through the sensor network 
            
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setup under the framework for the European TRAFAIR project.",
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and forecast models setup under the framework for the European TRAFAIR 
            
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project.",
            
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      "distribution_format": "GIF",
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      "distribution_format": "GIF",
            
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      "format": "WMS",
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      "format": "WMS",
            
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      "hash": "",
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      "hash": "",
            
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      "id": "a19ce4bf-6524-483e-a47a-20b9278e13b5",
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      "id": "a19ce4bf-6524-483e-a47a-20b9278e13b5",
            
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      "last_modified": "2020-11-02T00:00:00",
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      "last_modified": "2020-11-02T00:00:00",
            
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      "license_type": 
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      "license_type": 
            
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"https://w3id.org/italia/controlled-vocabulary/licences/A21_CCBY40",
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"https://w3id.org/italia/controlled-vocabulary/licences/A21_CCBY40",
            
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  "tags": [
            
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    {
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      "display_name": "Air quality",
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      "display_name": "Air quality",
            
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      "id": "6dfdb875-0a11-4fdf-992e-5c975d6ad46e",
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      "id": "6dfdb875-0a11-4fdf-992e-5c975d6ad46e",
            
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      "name": "Air quality",
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    {
            
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      "display_name": "TRAFAIR",
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      "display_name": "TRAFAIR",
            
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      "id": "b73a8c37-60d1-4dd5-975d-63dbcf347d14",
            
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      "name": "TRAFAIR",
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      "vocabulary_id": null
            
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  "title": "Air Quality Prediction Coverage based on date, heatmaps in 
346
  "title": "Air Quality Prediction Coverage based on date, heatmaps in 
            
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the cities of Firenze, Pisa and Livorno on NOx.",
347
the cities of Firenze, Pisa and Livorno on NOx.",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "url": "https://servicemap.snap4city.org/",
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  "url": "https://servicemap.snap4city.org/",
            
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  "version": ""
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  "version": ""
            
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}
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}