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      "key": "conforms_to",
            
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      "value": "[]"
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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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\"description\": {\"it\": \"\"}, \"title\": {\"it\": \"\"}}, 
            
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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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    {
            
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      "key": "contact_email",
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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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    {
            
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      "key": "creator",
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      "value": "[]"
            
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      "key": "dcat_type",
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      "value": 
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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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    {
            
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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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      "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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    {
            
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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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    {
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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": ""
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      "value": "2020-06-09"
            
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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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      "key": "modified",
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      "key": "modified",
            
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      "value": "2020-06-09"
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      "value": "2020-06-09"
            
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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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      "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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    {
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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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    {
            
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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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    {
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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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    {
            
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      "key": "temporal_start",
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      "key": "temporal_start",
            
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      "value": "2020-25-05T20:00:00.000Z"
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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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    {
            
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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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  "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 
126
  "notes": "The predictions are realised with a definition of 4x4 
            
122
meters, at both 3 and 6 meters. The data are available in the 
127
meters, at both 3 and 6 meters. The data are available in the 
            
123
Snap4City portal (https://servicemap.snap4city.org) and have been 
128
Snap4City portal (https://servicemap.snap4city.org) and have been 
            
124
derived from the observations obtained through the sensor network and 
129
derived from the observations obtained through the sensor network and 
            
125
forecast models setup under the framework for the European TRAFAIR 
130
forecast models setup under the framework for the European TRAFAIR 
            
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project.",
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project.",
            
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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 
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    "description": "Il progetto TRAFAIR: sviluppare servizi innovativi 
            
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combinando dati su qualit\u00e0 dell\u2019aria, condizioni 
138
combinando dati su qualit\u00e0 dell\u2019aria, condizioni 
            
134
meteorologiche e flusso di traffico per generare nuove informazioni 
139
meteorologiche e flusso di traffico per generare nuove informazioni 
            
135
utili ai cittadini e alle entit\u00e0 
140
utili ai cittadini e alle entit\u00e0 
            
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governative.\r\nL\u2019iniziativa, che ha durata biennale (2018-2020) 
141
governative.\r\nL\u2019iniziativa, che ha durata biennale (2018-2020) 
            
137
ed \u00e8 cofinanziato dal programma europeo \u201cConnecting Europe 
142
ed \u00e8 cofinanziato dal programma europeo \u201cConnecting Europe 
            
138
Facility\u201d CEF nell\u2019ambito delle telecomunicazioni, vede come 
143
Facility\u201d CEF nell\u2019ambito delle telecomunicazioni, vede come 
            
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capofila l\u2019Universit\u00e0 di Modena e Reggio Emilia e come 
144
capofila l\u2019Universit\u00e0 di Modena e Reggio Emilia e come 
            
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partner l\u2019Universit\u00e0 degli Studi di Firenze, Universidade de 
145
partner l\u2019Universit\u00e0 degli Studi di Firenze, Universidade de 
            
141
Santiago del Compostela (ES), il Comune di Modena, Regione Toscana, 
146
Santiago del Compostela (ES), il Comune di Modena, Regione Toscana, 
            
142
Concello de Santiago del Compostela (ES), Fundacion Publica Gallega 
147
Concello de Santiago del Compostela (ES), Fundacion Publica Gallega 
            
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Centro Tecnologico de Supercomputacion de Galicia (ES), Universidad de 
148
Centro Tecnologico de Supercomputacion de Galicia (ES), Universidad de 
            
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Zaragoza (ES), Lepida S.p.a. (IT).\r\nhttp://trafair.eu/",
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Zaragoza (ES), Lepida S.p.a. (IT).\r\nhttp://trafair.eu/",
            
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      "datastore_active": false,
            
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      "description": "The predictions for the city of Florence are 
190
      "description": "The predictions for the city of Florence are 
            
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realised with a definition of 4x4 meters, at both 3 and 6 meters. The 
191
realised with a definition of 4x4 meters, at both 3 and 6 meters. The 
            
187
data are available in the Snap4City portal 
192
data are available in the Snap4City portal 
            
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(https://servicemap.snap4city.org) and have been derived from the 
193
(https://servicemap.snap4city.org) and have been derived from the 
            
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observations obtained through the sensor network and forecast models 
194
observations obtained through the sensor network and forecast models 
            
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setup under the framework for the European TRAFAIR project.",
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setup under the framework for the European TRAFAIR 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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      "state": "active",
            
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      "url": 
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      "url": 
            
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realised with a definition of 4x4 meters, at both 3 and 6 meters. The 
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realised with a definition of 4x4 meters, at both 3 and 6 meters. The 
            
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data are available in the Snap4City portal 
            
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(https://servicemap.snap4city.org) and have been derived from the 
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      "state": "active",
            
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      "url": 
            
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  ],
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  ],
            
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  "state": "active",
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  "state": "active",
            
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  "tags": [],
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  "tags": [
            
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    {
            
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      "display_name": "Air quality",
            
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      "id": "6dfdb875-0a11-4fdf-992e-5c975d6ad46e",
            
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  ],
            
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  "title": "Air Quality Prediction Coverage based on date, heatmaps in 
337
  "title": "Air Quality Prediction Coverage based on date, heatmaps in 
            
318
the cities of Firenze, Pisa and Livorno on NOx.",
338
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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}