Modifiche
On 2 novembre 2020 15:14:19 CET,

-
Added resource GRALheatmapLivorno6m to Air Quality Prediction Coverage based on date, heatmaps in the cities of Firenze, Pisa and Livorno on NOx.
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9 | "author": "", | 9 | "author": "", | ||
10 | "author_email": "", | 10 | "author_email": "", | ||
11 | "creator_user_id": "727a81c2-145f-4590-a960-831f8242afdb", | 11 | "creator_user_id": "727a81c2-145f-4590-a960-831f8242afdb", | ||
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21 | { | 21 | { | ||
22 | "key": "contact_email", | 22 | "key": "contact_email", | ||
23 | "value": "paolo.nesi@unifi.it" | 23 | "value": "paolo.nesi@unifi.it" | ||
24 | }, | 24 | }, | ||
25 | { | 25 | { | ||
26 | "key": "contact_name", | 26 | "key": "contact_name", | ||
27 | "value": "Paolo Nesi" | 27 | "value": "Paolo Nesi" | ||
28 | }, | 28 | }, | ||
29 | { | 29 | { | ||
30 | "key": "creator", | 30 | "key": "creator", | ||
31 | "value": "[]" | 31 | "value": "[]" | ||
32 | }, | 32 | }, | ||
33 | { | 33 | { | ||
34 | "key": "dcat_type", | 34 | "key": "dcat_type", | ||
35 | "value": | 35 | "value": | ||
36 | "http://inspire.ec.europa.eu/metadata-codelist/ResourceType/dataset" | 36 | "http://inspire.ec.europa.eu/metadata-codelist/ResourceType/dataset" | ||
37 | }, | 37 | }, | ||
38 | { | 38 | { | ||
39 | "key": "frequency", | 39 | "key": "frequency", | ||
40 | "value": "CONT" | 40 | "value": "CONT" | ||
41 | }, | 41 | }, | ||
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43 | "key": "geographical_geonames_url", | 43 | "key": "geographical_geonames_url", | ||
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47 | "key": "holder_identifier", | 47 | "key": "holder_identifier", | ||
48 | "value": "trafair" | 48 | "value": "trafair" | ||
49 | }, | 49 | }, | ||
50 | { | 50 | { | ||
51 | "key": "holder_name", | 51 | "key": "holder_name", | ||
52 | "value": "Trafair" | 52 | "value": "Trafair" | ||
53 | }, | 53 | }, | ||
54 | { | 54 | { | ||
55 | "key": "identifier", | 55 | "key": "identifier", | ||
56 | "value": "air_quality_prediction_coverage_date" | 56 | "value": "air_quality_prediction_coverage_date" | ||
57 | }, | 57 | }, | ||
58 | { | 58 | { | ||
59 | "key": "is_version_of", | 59 | "key": "is_version_of", | ||
60 | "value": "" | 60 | "value": "" | ||
61 | }, | 61 | }, | ||
62 | { | 62 | { | ||
63 | "key": "issued", | 63 | "key": "issued", | ||
64 | "value": "" | 64 | "value": "" | ||
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66 | { | 66 | { | ||
67 | "key": "language", | 67 | "key": "language", | ||
68 | "value": "{ENG,ITA}" | 68 | "value": "{ENG,ITA}" | ||
69 | }, | 69 | }, | ||
70 | { | 70 | { | ||
71 | "key": "modified", | 71 | "key": "modified", | ||
72 | "value": "09-06-2020" | 72 | "value": "09-06-2020" | ||
73 | }, | 73 | }, | ||
74 | { | 74 | { | ||
75 | "key": "provenance", | 75 | "key": "provenance", | ||
76 | "value": "The Predictions are visibile and available in the | 76 | "value": "The Predictions are visibile and available in the | ||
77 | Snap4City platform (https://www.snap4city.org) and are based on the | 77 | Snap4City platform (https://www.snap4city.org) and are based on the | ||
78 | GRAL predictive Model." | 78 | GRAL predictive Model." | ||
79 | }, | 79 | }, | ||
80 | { | 80 | { | ||
81 | "key": "publisher_identifier", | 81 | "key": "publisher_identifier", | ||
82 | "value": "" | 82 | "value": "" | ||
83 | }, | 83 | }, | ||
84 | { | 84 | { | ||
85 | "key": "publisher_name", | 85 | "key": "publisher_name", | ||
86 | "value": "" | 86 | "value": "" | ||
87 | }, | 87 | }, | ||
88 | { | 88 | { | ||
89 | "key": "sample_query", | 89 | "key": "sample_query", | ||
90 | "value": | 90 | "value": | ||
91 | ight=542&srs=EPSG:4326&format=image/gif&time=2019-10-02T06:00:00.000Z" | 91 | ight=542&srs=EPSG:4326&format=image/gif&time=2019-10-02T06:00:00.000Z" | ||
92 | }, | 92 | }, | ||
93 | { | 93 | { | ||
94 | "key": "temporal_coverage", | 94 | "key": "temporal_coverage", | ||
95 | "value": "[]" | 95 | "value": "[]" | ||
96 | }, | 96 | }, | ||
97 | { | 97 | { | ||
98 | "key": "temporal_end", | 98 | "key": "temporal_end", | ||
99 | "value": "2020-11-01T00:00:00.000Z" | 99 | "value": "2020-11-01T00:00:00.000Z" | ||
100 | }, | 100 | }, | ||
101 | { | 101 | { | ||
102 | "key": "temporal_start", | 102 | "key": "temporal_start", | ||
103 | "value": "2020-25-05T20:00:00.000Z" | 103 | "value": "2020-25-05T20:00:00.000Z" | ||
104 | }, | 104 | }, | ||
105 | { | 105 | { | ||
106 | "key": "theme", | 106 | "key": "theme", | ||
107 | "value": "[{\"subthemes\": [], \"theme\": \"ENVI\"}]" | 107 | "value": "[{\"subthemes\": [], \"theme\": \"ENVI\"}]" | ||
108 | } | 108 | } | ||
109 | ], | 109 | ], | ||
110 | "groups": [], | 110 | "groups": [], | ||
111 | "id": "e15f48c3-420d-4b02-b203-66c40496476f", | 111 | "id": "e15f48c3-420d-4b02-b203-66c40496476f", | ||
112 | "isopen": true, | 112 | "isopen": true, | ||
113 | "license_id": "cc-by", | 113 | "license_id": "cc-by", | ||
114 | "license_title": "Creative Commons Attribution", | 114 | "license_title": "Creative Commons Attribution", | ||
115 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 115 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
116 | "maintainer": "", | 116 | "maintainer": "", | ||
117 | "maintainer_email": "", | 117 | "maintainer_email": "", | ||
118 | "metadata_created": "2020-06-09T11:50:17.651838", | 118 | "metadata_created": "2020-06-09T11:50:17.651838", | ||
119 | "metadata_modified": "2020-11-02T12:23:53.037472", | 119 | "metadata_modified": "2020-11-02T12:23:53.037472", | ||
120 | "name": "air_quality_prediction_coverage_date", | 120 | "name": "air_quality_prediction_coverage_date", | ||
121 | "notes": "The predictions are realised with a definition of 4x4 | 121 | "notes": "The predictions are realised with a definition of 4x4 | ||
122 | meters, at both 3 and 6 meters. The data are available in the | 122 | meters, at both 3 and 6 meters. The data are available in the | ||
123 | Snap4City portal (https://servicemap.snap4city.org) and have been | 123 | Snap4City portal (https://servicemap.snap4city.org) and have been | ||
124 | derived from the observations obtained through the sensor network and | 124 | derived from the observations obtained through the sensor network and | ||
125 | forecast models setup under the framework for the European TRAFAIR | 125 | forecast models setup under the framework for the European TRAFAIR | ||
126 | project.", | 126 | project.", | ||
n | 127 | "num_resources": 2, | n | 127 | "num_resources": 3, |
128 | "num_tags": 0, | 128 | "num_tags": 0, | ||
129 | "organization": { | 129 | "organization": { | ||
130 | "approval_status": "approved", | 130 | "approval_status": "approved", | ||
131 | "created": "2020-05-25T17:11:16.775491", | 131 | "created": "2020-05-25T17:11:16.775491", | ||
132 | "description": "Il progetto TRAFAIR: sviluppare servizi innovativi | 132 | "description": "Il progetto TRAFAIR: sviluppare servizi innovativi | ||
133 | combinando dati su qualit\u00e0 dell\u2019aria, condizioni | 133 | combinando dati su qualit\u00e0 dell\u2019aria, condizioni | ||
134 | meteorologiche e flusso di traffico per generare nuove informazioni | 134 | meteorologiche e flusso di traffico per generare nuove informazioni | ||
135 | utili ai cittadini e alle entit\u00e0 | 135 | utili ai cittadini e alle entit\u00e0 | ||
136 | governative.\r\nL\u2019iniziativa, che ha durata biennale (2018-2020) | 136 | governative.\r\nL\u2019iniziativa, che ha durata biennale (2018-2020) | ||
137 | ed \u00e8 cofinanziato dal programma europeo \u201cConnecting Europe | 137 | ed \u00e8 cofinanziato dal programma europeo \u201cConnecting Europe | ||
138 | Facility\u201d CEF nell\u2019ambito delle telecomunicazioni, vede come | 138 | Facility\u201d CEF nell\u2019ambito delle telecomunicazioni, vede come | ||
139 | capofila l\u2019Universit\u00e0 di Modena e Reggio Emilia e come | 139 | capofila l\u2019Universit\u00e0 di Modena e Reggio Emilia e come | ||
140 | partner l\u2019Universit\u00e0 degli Studi di Firenze, Universidade de | 140 | partner l\u2019Universit\u00e0 degli Studi di Firenze, Universidade de | ||
141 | Santiago del Compostela (ES), il Comune di Modena, Regione Toscana, | 141 | Santiago del Compostela (ES), il Comune di Modena, Regione Toscana, | ||
142 | Concello de Santiago del Compostela (ES), Fundacion Publica Gallega | 142 | Concello de Santiago del Compostela (ES), Fundacion Publica Gallega | ||
143 | Centro Tecnologico de Supercomputacion de Galicia (ES), Universidad de | 143 | Centro Tecnologico de Supercomputacion de Galicia (ES), Universidad de | ||
144 | Zaragoza (ES), Lepida S.p.a. (IT).\r\nhttp://trafair.eu/", | 144 | Zaragoza (ES), Lepida S.p.a. (IT).\r\nhttp://trafair.eu/", | ||
145 | "id": "79bab309-50bf-4014-bc36-41262e1b436e", | 145 | "id": "79bab309-50bf-4014-bc36-41262e1b436e", | ||
146 | "image_url": "2020-05-25-151116.701717trafair.JPG", | 146 | "image_url": "2020-05-25-151116.701717trafair.JPG", | ||
147 | "is_organization": true, | 147 | "is_organization": true, | ||
148 | "name": "trafair", | 148 | "name": "trafair", | ||
149 | "state": "active", | 149 | "state": "active", | ||
150 | "title": "Trafair", | 150 | "title": "Trafair", | ||
151 | "type": "organization" | 151 | "type": "organization" | ||
152 | }, | 152 | }, | ||
153 | "owner_org": "79bab309-50bf-4014-bc36-41262e1b436e", | 153 | "owner_org": "79bab309-50bf-4014-bc36-41262e1b436e", | ||
154 | "private": false, | 154 | "private": false, | ||
155 | "relationships_as_object": [], | 155 | "relationships_as_object": [], | ||
156 | "relationships_as_subject": [], | 156 | "relationships_as_subject": [], | ||
157 | "resources": [ | 157 | "resources": [ | ||
158 | { | 158 | { | ||
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178 | "updated": "2023-06-23T18:05:55.615485", | 178 | "updated": "2023-06-23T18:05:55.615485", | ||
179 | "url_redirected_to": null | 179 | "url_redirected_to": null | ||
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181 | "cache_last_updated": null, | 181 | "cache_last_updated": null, | ||
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183 | "created": "2020-11-02T15:10:35.464147", | 183 | "created": "2020-11-02T15:10:35.464147", | ||
184 | "datastore_active": false, | 184 | "datastore_active": false, | ||
185 | "description": "The predictions for the city of Florence are | 185 | "description": "The predictions for the city of Florence are | ||
186 | realised with a definition of 4x4 meters, at both 3 and 6 meters. The | 186 | realised with a definition of 4x4 meters, at both 3 and 6 meters. The | ||
187 | data are available in the Snap4City portal | 187 | data are available in the Snap4City portal | ||
188 | (https://servicemap.snap4city.org) and have been derived from the | 188 | (https://servicemap.snap4city.org) and have been derived from the | ||
189 | observations obtained through the sensor network and forecast models | 189 | observations obtained through the sensor network and forecast models | ||
190 | setup under the framework for the European TRAFAIR project.", | 190 | setup under the framework for the European TRAFAIR project.", | ||
191 | "distribution_format": "GIF", | 191 | "distribution_format": "GIF", | ||
192 | "format": "WMS", | 192 | "format": "WMS", | ||
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200 | "name": "GRALheatmap6m", | 200 | "name": "GRALheatmap6m", | ||
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205 | "state": "active", | 205 | "state": "active", | ||
206 | "url": | 206 | "url": | ||
207 | city.org/geoserver/Snap4City/wms?service=WMS&request=GetCapabilities", | 207 | city.org/geoserver/Snap4City/wms?service=WMS&request=GetCapabilities", | ||
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236 | "datastore_active": false, | 236 | "datastore_active": false, | ||
237 | "description": "The predictions for the city of Pisa are | 237 | "description": "The predictions for the city of Pisa are | ||
238 | realised with a definition of 4x4 meters, at both 3 and 6 meters. The | 238 | realised with a definition of 4x4 meters, at both 3 and 6 meters. The | ||
239 | data are available in the Snap4City portal | 239 | data are available in the Snap4City portal | ||
240 | (https://servicemap.snap4city.org) and have been derived from the | 240 | (https://servicemap.snap4city.org) and have been derived from the | ||
241 | observations obtained through the sensor network and forecast models | 241 | observations obtained through the sensor network and forecast models | ||
242 | setup under the framework for the European TRAFAIR project.", | 242 | setup under the framework for the European TRAFAIR project.", | ||
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247 | "last_modified": "2020-11-02T00:00:00", | 247 | "last_modified": "2020-11-02T00:00:00", | ||
248 | "license_type": | 248 | "license_type": | ||
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252 | "name": "GRALheatmapPisaLivorno6m", | 252 | "name": "GRALheatmapPisaLivorno6m", | ||
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289 | "description": "The predictions for the city of Florence are | ||||
290 | realised with a definition of 4x4 meters, at both 3 and 6 meters. The | ||||
291 | data are available in the Snap4City portal | ||||
292 | (https://servicemap.snap4city.org) and have been derived from the | ||||
293 | observations obtained through the sensor network and forecast models | ||||
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311 | city.org/geoserver/Snap4City/wms?service=WMS&request=GetCapabilities", | ||||
312 | "url_type": null | ||||
261 | } | 313 | } | ||
262 | ], | 314 | ], | ||
263 | "state": "active", | 315 | "state": "active", | ||
264 | "tags": [], | 316 | "tags": [], | ||
265 | "title": "Air Quality Prediction Coverage based on date, heatmaps in | 317 | "title": "Air Quality Prediction Coverage based on date, heatmaps in | ||
266 | the cities of Firenze, Pisa and Livorno on NOx.", | 318 | the cities of Firenze, Pisa and Livorno on NOx.", | ||
267 | "type": "dataset", | 319 | "type": "dataset", | ||
268 | "url": "https://servicemap.snap4city.org/", | 320 | "url": "https://servicemap.snap4city.org/", | ||
269 | "version": "" | 321 | "version": "" | ||
270 | } | 322 | } |
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