Changes
On February 24, 2021 at 12:21:40 PM UTC, gletsos:
-
Updated description of Islets of freshness - "Fresh" green spaces from
This dataset lists the "cool" green spaces of the City of Paris as well as certain state parks and gardens classified according to their share of high vegetation (expected shade) and their night-time openings. This classification, proposed by the APUR (Atelier parisien d'urbanisme), is the result of a study commissioned by the City of Paris on the vegetation cover and canopy, which made it possible to map vegetation over 8m high throughout Paris. The proportion of high vegetation makes it possible to determine during the day whether the green space in question is : - Very exposed to the sun and therefore rather hot (less than 25% high vegetation). - Partially shaded and therefore moderately cool (25 to 50% high vegetation). - Very shady and therefore cool (more than 50% high vegetation).
toThis dataset lists the "cool" green spaces of the City of Paris as well as certain state parks and gardens classified according to their share of high vegetation (expected shade) and their night-time openings. This classification, proposed by the APUR (Atelier parisien d'urbanisme), is the result of a study commissioned by the City of Paris on the vegetation cover and canopy, which made it possible to map vegetation over 8m high throughout Paris. The proportion of high vegetation makes it possible to determine during the day whether the green space in question is : - Very exposed to the sun and therefore rather hot (less than 25% high vegetation). - Partially shaded and therefore moderately cool (25 to 50% high vegetation). - Very shady and therefore cool (more than 50% high vegetation).
f | 1 | { | f | 1 | { |
2 | "author": null, | 2 | "author": null, | ||
3 | "author_email": null, | 3 | "author_email": null, | ||
4 | "creator_user_id": "5ee46fcc-114d-45b7-bd66-c44e18087b37", | 4 | "creator_user_id": "5ee46fcc-114d-45b7-bd66-c44e18087b37", | ||
5 | "extras": [ | 5 | "extras": [ | ||
6 | { | 6 | { | ||
7 | "key": "Access level", | 7 | "key": "Access level", | ||
8 | "value": "Public" | 8 | "value": "Public" | ||
9 | }, | 9 | }, | ||
10 | { | 10 | { | ||
11 | "key": "Data timespan", | 11 | "key": "Data timespan", | ||
12 | "value": "Created on June 18th, 2020" | 12 | "value": "Created on June 18th, 2020" | ||
13 | }, | 13 | }, | ||
14 | { | 14 | { | ||
15 | "key": "Geographical area", | 15 | "key": "Geographical area", | ||
16 | "value": "M\u00e9tropole du Grand Paris" | 16 | "value": "M\u00e9tropole du Grand Paris" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "key": "Language", | 19 | "key": "Language", | ||
20 | "value": "French" | 20 | "value": "French" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "key": "Organization", | 23 | "key": "Organization", | ||
24 | "value": "City of Paris" | 24 | "value": "City of Paris" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "key": "Sector", | 27 | "key": "Sector", | ||
28 | "value": "Building and construction" | 28 | "value": "Building and construction" | ||
29 | } | 29 | } | ||
30 | ], | 30 | ], | ||
31 | "groups": [ | 31 | "groups": [ | ||
32 | { | 32 | { | ||
33 | "description": "", | 33 | "description": "", | ||
34 | "display_name": "Building and construction", | 34 | "display_name": "Building and construction", | ||
35 | "id": "1a3d8db8-a5b6-49e6-b4de-affcec34bb0d", | 35 | "id": "1a3d8db8-a5b6-49e6-b4de-affcec34bb0d", | ||
36 | "image_display_url": | 36 | "image_display_url": | ||
37 | ydWN0aW9ufGVufDB8fDB8&ixlib=rb-1.2.1&auto=format&fit=crop&w=600&q=60", | 37 | ydWN0aW9ufGVufDB8fDB8&ixlib=rb-1.2.1&auto=format&fit=crop&w=600&q=60", | ||
38 | "name": "building-and-construction", | 38 | "name": "building-and-construction", | ||
39 | "title": "Building and construction" | 39 | "title": "Building and construction" | ||
40 | } | 40 | } | ||
41 | ], | 41 | ], | ||
42 | "id": "48a6822a-b4b1-4b27-8f21-63dc2681de8d", | 42 | "id": "48a6822a-b4b1-4b27-8f21-63dc2681de8d", | ||
43 | "isopen": false, | 43 | "isopen": false, | ||
44 | "license_id": "open-database-license-odbl", | 44 | "license_id": "open-database-license-odbl", | ||
45 | "license_title": "Open Database License (ODbL)", | 45 | "license_title": "Open Database License (ODbL)", | ||
46 | "license_url": "http://opendatacommons.org/licenses/odbl/", | 46 | "license_url": "http://opendatacommons.org/licenses/odbl/", | ||
47 | "maintainer": null, | 47 | "maintainer": null, | ||
48 | "maintainer_email": null, | 48 | "maintainer_email": null, | ||
49 | "metadata_created": "2021-01-20T13:47:59.202297", | 49 | "metadata_created": "2021-01-20T13:47:59.202297", | ||
n | 50 | "metadata_modified": "2021-02-24T12:06:16.175028", | n | 50 | "metadata_modified": "2021-02-24T12:21:40.389269", |
51 | "name": "islets-of-freshness-fresh-green-spaces", | 51 | "name": "islets-of-freshness-fresh-green-spaces", | ||
52 | "notes": "This dataset lists the \"cool\" green spaces of the City | 52 | "notes": "This dataset lists the \"cool\" green spaces of the City | ||
53 | of Paris as well as certain state parks and gardens classified | 53 | of Paris as well as certain state parks and gardens classified | ||
54 | according to their share of high vegetation (expected shade) and their | 54 | according to their share of high vegetation (expected shade) and their | ||
55 | night-time openings. \n This classification, proposed by the APUR | 55 | night-time openings. \n This classification, proposed by the APUR | ||
56 | (Atelier parisien d'urbanisme), is the result of a study commissioned | 56 | (Atelier parisien d'urbanisme), is the result of a study commissioned | ||
57 | by the City of Paris on the vegetation cover and canopy, which made it | 57 | by the City of Paris on the vegetation cover and canopy, which made it | ||
58 | possible to map vegetation over 8m high throughout Paris. \n The | 58 | possible to map vegetation over 8m high throughout Paris. \n The | ||
59 | proportion of high vegetation makes it possible to determine during | 59 | proportion of high vegetation makes it possible to determine during | ||
t | 60 | the day whether the green space in question is : \n - Very exposed | t | 60 | the day whether the green space in question is : \n - Very exposed to |
61 | to the sun and therefore rather hot (less than 25% high vegetation). | 61 | the sun and therefore rather hot (less than 25% high vegetation). \n | ||
62 | \n - Partially shaded and therefore moderately cool (25 to 50% high | 62 | - Partially shaded and therefore moderately cool (25 to 50% high | ||
63 | vegetation). \n - Very shady and therefore cool (more than 50% high | 63 | vegetation). \n - Very shady and therefore cool (more than 50% high | ||
64 | vegetation).", | 64 | vegetation).", | ||
65 | "num_resources": 6, | 65 | "num_resources": 6, | ||
66 | "num_tags": 5, | 66 | "num_tags": 5, | ||
67 | "organization": { | 67 | "organization": { | ||
68 | "approval_status": "approved", | 68 | "approval_status": "approved", | ||
69 | "created": "2020-12-24T09:11:42.436810", | 69 | "created": "2020-12-24T09:11:42.436810", | ||
70 | "description": "Cities can drive the circular economy agenda | 70 | "description": "Cities can drive the circular economy agenda | ||
71 | forward to unlock economic, environmental and social benefits. | 71 | forward to unlock economic, environmental and social benefits. | ||
72 | Emerging industries include waste management, mobility, renewable | 72 | Emerging industries include waste management, mobility, renewable | ||
73 | energy, logistics, urban agriculture, etc.", | 73 | energy, logistics, urban agriculture, etc.", | ||
74 | "id": "3ad4e072-cb2d-481d-b6a2-eaaed4176ba6", | 74 | "id": "3ad4e072-cb2d-481d-b6a2-eaaed4176ba6", | ||
75 | "image_url": | 75 | "image_url": | ||
76 | arcityfundingguide.eu/wp-content/uploads/2019/10/circular-cities.jpg", | 76 | arcityfundingguide.eu/wp-content/uploads/2019/10/circular-cities.jpg", | ||
77 | "is_organization": true, | 77 | "is_organization": true, | ||
78 | "name": "circular-cities", | 78 | "name": "circular-cities", | ||
79 | "state": "active", | 79 | "state": "active", | ||
80 | "title": "Circular Cities", | 80 | "title": "Circular Cities", | ||
81 | "type": "organization" | 81 | "type": "organization" | ||
82 | }, | 82 | }, | ||
83 | "owner_org": "3ad4e072-cb2d-481d-b6a2-eaaed4176ba6", | 83 | "owner_org": "3ad4e072-cb2d-481d-b6a2-eaaed4176ba6", | ||
84 | "private": false, | 84 | "private": false, | ||
85 | "relationships_as_object": [], | 85 | "relationships_as_object": [], | ||
86 | "relationships_as_subject": [], | 86 | "relationships_as_subject": [], | ||
87 | "resources": [ | 87 | "resources": [ | ||
88 | { | 88 | { | ||
89 | "cache_last_updated": null, | 89 | "cache_last_updated": null, | ||
90 | "cache_url": null, | 90 | "cache_url": null, | ||
91 | "created": "2021-01-20T13:47:59.554909", | 91 | "created": "2021-01-20T13:47:59.554909", | ||
92 | "datastore_active": true, | 92 | "datastore_active": true, | ||
93 | "description": null, | 93 | "description": null, | ||
94 | "format": "CSV", | 94 | "format": "CSV", | ||
95 | "hash": "", | 95 | "hash": "", | ||
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106 | "state": "active", | 106 | "state": "active", | ||
107 | "url": | 107 | "url": | ||
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110 | }, | 110 | }, | ||
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225 | } | 225 | } | ||
226 | ], | 226 | ], | ||
227 | "state": "active", | 227 | "state": "active", | ||
228 | "tags": [ | 228 | "tags": [ | ||
229 | { | 229 | { | ||
230 | "display_name": "Autonomous cities", | 230 | "display_name": "Autonomous cities", | ||
231 | "id": "cd51a3e0-40f8-48af-a308-71bd451e1133", | 231 | "id": "cd51a3e0-40f8-48af-a308-71bd451e1133", | ||
232 | "name": "Autonomous cities", | 232 | "name": "Autonomous cities", | ||
233 | "state": "active", | 233 | "state": "active", | ||
234 | "vocabulary_id": null | 234 | "vocabulary_id": null | ||
235 | }, | 235 | }, | ||
236 | { | 236 | { | ||
237 | "display_name": "Canicule", | 237 | "display_name": "Canicule", | ||
238 | "id": "dc86486e-aaff-4675-a5b6-cf03b80134a2", | 238 | "id": "dc86486e-aaff-4675-a5b6-cf03b80134a2", | ||
239 | "name": "Canicule", | 239 | "name": "Canicule", | ||
240 | "state": "active", | 240 | "state": "active", | ||
241 | "vocabulary_id": null | 241 | "vocabulary_id": null | ||
242 | }, | 242 | }, | ||
243 | { | 243 | { | ||
244 | "display_name": "Ombre", | 244 | "display_name": "Ombre", | ||
245 | "id": "b6bfd2a7-18a0-4172-92b3-9b6de315d54e", | 245 | "id": "b6bfd2a7-18a0-4172-92b3-9b6de315d54e", | ||
246 | "name": "Ombre", | 246 | "name": "Ombre", | ||
247 | "state": "active", | 247 | "state": "active", | ||
248 | "vocabulary_id": null | 248 | "vocabulary_id": null | ||
249 | }, | 249 | }, | ||
250 | { | 250 | { | ||
251 | "display_name": "V\u00e9g\u00e9tation", | 251 | "display_name": "V\u00e9g\u00e9tation", | ||
252 | "id": "5eedce67-2777-4fbf-bffa-9cf0c4ab3113", | 252 | "id": "5eedce67-2777-4fbf-bffa-9cf0c4ab3113", | ||
253 | "name": "V\u00e9g\u00e9tation", | 253 | "name": "V\u00e9g\u00e9tation", | ||
254 | "state": "active", | 254 | "state": "active", | ||
255 | "vocabulary_id": null | 255 | "vocabulary_id": null | ||
256 | }, | 256 | }, | ||
257 | { | 257 | { | ||
258 | "display_name": "\u00eelots de fra\u00eecheur", | 258 | "display_name": "\u00eelots de fra\u00eecheur", | ||
259 | "id": "159aec96-aebd-4c85-8051-6ea3f6fd2c2c", | 259 | "id": "159aec96-aebd-4c85-8051-6ea3f6fd2c2c", | ||
260 | "name": "\u00eelots de fra\u00eecheur", | 260 | "name": "\u00eelots de fra\u00eecheur", | ||
261 | "state": "active", | 261 | "state": "active", | ||
262 | "vocabulary_id": null | 262 | "vocabulary_id": null | ||
263 | } | 263 | } | ||
264 | ], | 264 | ], | ||
265 | "title": "Islets of freshness - \"Fresh\" green spaces", | 265 | "title": "Islets of freshness - \"Fresh\" green spaces", | ||
266 | "type": "dataset", | 266 | "type": "dataset", | ||
267 | "url": | 267 | "url": | ||
268 | data.paris.fr/explore/dataset/ilots-de-fraicheur-espaces-verts-frais", | 268 | data.paris.fr/explore/dataset/ilots-de-fraicheur-espaces-verts-frais", | ||
269 | "version": null | 269 | "version": null | ||
270 | } | 270 | } |