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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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{\"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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      "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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      "key": "creator",
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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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      "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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      "key": "holder_identifier",
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      "key": "holder_identifier",
            
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      "value": "trafair"
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      "value": "trafair"
            
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    {
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    {
            
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      "key": "holder_name",
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      "key": "holder_name",
            
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      "value": "Trafair"
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      "value": "Trafair"
            
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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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      "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": "09-06-2020"
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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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    {
            
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      "key": "modified",
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      "key": "modified",
            
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      "value": "09-06-2020"
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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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    {
            
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      "key": "publisher_identifier",
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      "value": ""
            
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    {
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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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    {
            
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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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      "value": "2020-11-01T00:00:00.000Z"
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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 
134
  "notes": "The predictions are realised with a definition of 4x4 
            
135
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 
            
136
Snap4City portal (https://servicemap.snap4city.org) and have been 
136
Snap4City portal (https://servicemap.snap4city.org) and have been 
            
137
derived from the observations obtained through the sensor network and 
137
derived from the observations obtained through the sensor network and 
            
138
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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    "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 
146
combinando dati su qualit\u00e0 dell\u2019aria, condizioni 
            
147
meteorologiche e flusso di traffico per generare nuove informazioni 
147
meteorologiche e flusso di traffico per generare nuove informazioni 
            
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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) 
            
150
ed \u00e8 cofinanziato dal programma europeo \u201cConnecting Europe 
150
ed \u00e8 cofinanziato dal programma europeo \u201cConnecting Europe 
            
151
Facility\u201d CEF nell\u2019ambito delle telecomunicazioni, vede come 
151
Facility\u201d CEF nell\u2019ambito delle telecomunicazioni, vede come 
            
152
capofila l\u2019Universit\u00e0 di Modena e Reggio Emilia e come 
152
capofila l\u2019Universit\u00e0 di Modena e Reggio Emilia e come 
            
153
partner l\u2019Universit\u00e0 degli Studi di Firenze, Universidade de 
153
partner l\u2019Universit\u00e0 degli Studi di Firenze, Universidade de 
            
154
Santiago del Compostela (ES), il Comune di Modena, Regione Toscana, 
154
Santiago del Compostela (ES), il Comune di Modena, Regione Toscana, 
            
155
Concello de Santiago del Compostela (ES), Fundacion Publica Gallega 
155
Concello de Santiago del Compostela (ES), Fundacion Publica Gallega 
            
156
Centro Tecnologico de Supercomputacion de Galicia (ES), Universidad de 
156
Centro Tecnologico de Supercomputacion de Galicia (ES), Universidad de 
            
157
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_id": 23,
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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 
            
199
realised with a definition of 4x4 meters, at both 3 and 6 meters 
199
realised with a definition of 4x4 meters, at both 3 and 6 meters 
            
200
(respectively GRALheatmap and GRALheatmap6m). The data are available 
200
(respectively GRALheatmap and GRALheatmap6m). The data are available 
            
201
in the Snap4City portal (https://servicemap.snap4city.org) and have 
201
in the Snap4City portal (https://servicemap.snap4city.org) and have 
            
202
been derived from the observations obtained through the sensor network 
202
been derived from the observations obtained through the sensor network 
            
203
and forecast models setup under the framework for the European TRAFAIR 
203
and forecast models setup under the framework for the European TRAFAIR 
            
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project.",
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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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realised with a definition of 4x4 meters, at both 3 and 6 meters 
            
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(respectively GRALheatmapPisa and GRALheatmapPisa6m). The data are 
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(respectively GRALheatmapPisa and GRALheatmapPisa6m). The data are 
            
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available in the Snap4City portal (https://servicemap.snap4city.org) 
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available in the Snap4City portal (https://servicemap.snap4city.org) 
            
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and have been derived from the observations obtained through the 
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and have been derived from the observations obtained through the 
            
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sensor network and forecast models setup under the framework for the 
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sensor network and forecast models setup under the framework for the 
            
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European TRAFAIR project.",
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European TRAFAIR project.",
            
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      "description": "The predictions for the city of Florence are 
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      "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 
t
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realised with a definition of 4x4 meters, at both 3 and 6 meters 
            
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(respectively GRALheatmapLivorno and GRALheatmapLivorno6m). The data 
            
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data are available in the Snap4City portal 
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are available in the Snap4City portal 
            
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(https://servicemap.snap4city.org) and have been derived from the 
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(https://servicemap.snap4city.org) and have been derived from the 
            
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observations obtained through the sensor network and forecast models 
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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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      "state": "active",
            
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      "url": 
            
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city.org/geoserver/Snap4City/wms?service=WMS&request=GetCapabilities",
            
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  "tags": [
            
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    {
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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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    }
            
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  ],
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  ],
            
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  "title": "Air Quality Prediction Coverage based on date, heatmaps in 
348
  "title": "Air Quality Prediction Coverage based on date, heatmaps in 
            
348
the cities of Firenze, Pisa and Livorno on NOx.",
349
the cities of Firenze, Pisa and Livorno on NOx.",
            
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  "type": "dataset",
350
  "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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}