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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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      "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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      "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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      "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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      "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": "latest_air_quality_prediction_coverage"
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      "value": "latest_air_quality_prediction_coverage"
            
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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": "03-06-2012"
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      "value": "03-06-2012"
            
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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": "03-06-2020"
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      "value": "03-06-2020"
            
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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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      "key": "publisher_identifier",
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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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    {
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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": "theme",
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      "key": "theme",
            
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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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  "maintainer": "",
            
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  "metadata_modified": "2020-11-02T12:24:22.107175",
            
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  "name": "latest_air_quality_prediction_coverage",
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  "name": "latest_air_quality_prediction_coverage",
            
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  "notes": "The predictions are realised with a definition of 4x4 
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  "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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  "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 
            
146
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 
            
148
utili ai cittadini e alle entit\u00e0 
148
utili ai cittadini e alle entit\u00e0 
            
149
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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        "updated": "2023-06-23T17:46:53.600956",
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        "updated": "2023-06-23T17:46:53.600956",
            
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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 
            
n
199
realised with a definition of 4x4 meters, at both 3 and 6 meters. The 
n
199
realised with a definition of 4x4 meters, at both 3 and 6 meters 
            
200
data are available in the Snap4City portal 
200
(respectively GRALheatmap and GRALheatmap6m). The data are available 
            
201
(https://servicemap.snap4city.org) and have been derived from the 
201
in the Snap4City portal (https://servicemap.snap4city.org) and have 
            
202
observations obtained through the sensor network and forecast models 
202
been derived from the observations obtained through the sensor network 
            
203
setup under the framework for the European TRAFAIR project.\r\n",
203
and forecast models setup under the framework for the European TRAFAIR 
            
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project.\r\n",
            
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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": "63c2032a-501f-4913-9a23-8197681f7cb8",
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      "id": "63c2032a-501f-4913-9a23-8197681f7cb8",
            
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      "last_modified": "2012-02-11T00:00:00",
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      "last_modified": "2020-02-11T00:00:00",
            
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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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      "description": "The predictions  for the city of Pisa are 
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      "description": "The predictions  for the city of Pisa are 
            
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realised with a definition of 4x4 meters, at both 3 and 6 meters 
252
realised with a definition of 4x4 meters, at both 3 and 6 meters 
            
252
(respectvely  GRALheatmapPisa, and GRALheatmapPisa6m). The data are 
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(respectvely  GRALheatmapPisa, and GRALheatmapPisa6m). The data are 
            
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available in the Snap4City portal (https://servicemap.snap4city.org) 
254
available in the Snap4City portal (https://servicemap.snap4city.org) 
            
254
and have been derived from the observations obtained through the 
255
and have been derived from the observations obtained through the 
            
255
sensor network and forecast models setup under the framework for the 
256
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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      "hash": "",
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      "hash": "",
            
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"https://w3id.org/italia/controlled-vocabulary/licences/A21_CCBY40",
            
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city.org/geoserver/Snap4City/wms?service=WMS&request=GetCapabilities",
            
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      "description": "The predictions  for the city of Livorno are 
304
      "description": "The predictions  for the city of Livorno are 
            
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realised with a definition of 4x4 meters, at both 3 and 6 meters 
305
realised with a definition of 4x4 meters, at both 3 and 6 meters 
            
305
(respectively GRALheatmapLivorno, GRALheatmapLivorno6m). The data are 
306
(respectively GRALheatmapLivorno, GRALheatmapLivorno6m). The data are 
            
306
available in the Snap4City portal (https://servicemap.snap4city.org) 
307
available in the Snap4City portal (https://servicemap.snap4city.org) 
            
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and have been derived from the observations obtained through the 
308
and have been derived from the observations obtained through the 
            
308
sensor network and forecast models setup under the framework for the 
309
sensor network and forecast models setup under the framework for the 
            
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European TRAFAIR project.\r\n\r\n",
310
European TRAFAIR project.\r\n\r\n",
            
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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": "957ed113-ea01-4f96-be12-5b284ff9c675",
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      "id": "957ed113-ea01-4f96-be12-5b284ff9c675",
            
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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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      "name": "GRALheatmapLivorno6m",
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      "name": "GRALheatmapLivorno6m",
            
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      "package_id": "a3eb989e-e442-420a-8e84-bae809cf483d",
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      "package_id": "a3eb989e-e442-420a-8e84-bae809cf483d",
            
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      "position": 2,
            
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      "size": null,
            
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      "state": "active",
            
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      "url": 
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      "url": 
            
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city.org/geoserver/Snap4City/wms?service=WMS&request=GetCapabilities",
327
city.org/geoserver/Snap4City/wms?service=WMS&request=GetCapabilities",
            
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      "url_type": null
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    }
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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": [
332
  "tags": [
            
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    {
333
    {
            
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      "display_name": "Air quality",
334
      "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",
336
      "name": "Air quality",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    {
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    {
            
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      "display_name": "TRAFAIR",
341
      "display_name": "TRAFAIR",
            
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      "id": "b73a8c37-60d1-4dd5-975d-63dbcf347d14",
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      "id": "b73a8c37-60d1-4dd5-975d-63dbcf347d14",
            
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      "name": "TRAFAIR",
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      "name": "TRAFAIR",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    }
346
    }
            
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  ],
347
  ],
            
347
  "title": "Latest Air Quality Prediction Coverages, heatmaps in the 
348
  "title": "Latest Air Quality Prediction Coverages, heatmaps in the 
            
348
cities of Firenze, Pisa and Livorno on NOx.",
349
cities of Firenze, Pisa and Livorno on NOx.",
            
349
  "type": "dataset",
350
  "type": "dataset",
            
350
  "url": "https://servicemap.snap4city.org/",
351
  "url": "https://servicemap.snap4city.org/",
            
351
  "version": ""
352
  "version": ""
            
352
}
353
}