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Op 16 november 2023 om 16:41:05 CET, automation :
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Updated description of food, supermarket, kernel density 800m from
Variable metadata undefined
to**Environment:** null **Pollutant:** null **Variable:** Kernel density of supermarkets in a 800m buffer **Name:** Superm_KD_800m.tif **Time period:** 2020.0 **Temporal resolution:** null **Spatial resolution:** 100x100 m **Extent:** Full EU **Unit:** null **Method:** ArcGIS Kernel density tool **Comments:** Do not link to end points collected prior to 2019/2028
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Deleted resource food_superm_kd_800m from food, supermarket, kernel density 800m
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Deleted resource food_superm_kd_800m from food, supermarket, kernel density 800m
f | 1 | { | f | 1 | { |
2 | "author": null, | 2 | "author": null, | ||
3 | "author_email": null, | 3 | "author_email": null, | ||
4 | "civity_metadataquality": { | 4 | "civity_metadataquality": { | ||
5 | "mandatory": { | 5 | "mandatory": { | ||
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14 | }, | 14 | }, | ||
15 | "total": { | 15 | "total": { | ||
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18 | "valid": 5 | 18 | "valid": 5 | ||
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21 | "creator_user_id": "30deb59a-308a-4b2d-a419-dddfd7ea0e5b", | 21 | "creator_user_id": "30deb59a-308a-4b2d-a419-dddfd7ea0e5b", | ||
22 | "extras": [], | 22 | "extras": [], | ||
23 | "groups": [], | 23 | "groups": [], | ||
24 | "id": "food_superm_kd_800m_v1", | 24 | "id": "food_superm_kd_800m_v1", | ||
25 | "isopen": false, | 25 | "isopen": false, | ||
26 | "license_id": "notspecified", | 26 | "license_id": "notspecified", | ||
27 | "license_title": "License not specified", | 27 | "license_title": "License not specified", | ||
28 | "maintainer": null, | 28 | "maintainer": null, | ||
29 | "maintainer_email": null, | 29 | "maintainer_email": null, | ||
30 | "metadata_created": "2023-05-11T07:54:02.357582", | 30 | "metadata_created": "2023-05-11T07:54:02.357582", | ||
n | 31 | "metadata_modified": "2023-11-16T14:25:50.105013", | n | 31 | "metadata_modified": "2023-11-16T15:41:04.015543", |
32 | "name": "food_superm_kd_800m_v1", | 32 | "name": "food_superm_kd_800m_v1", | ||
n | 33 | "notes": "Variable metadata undefined", | n | 33 | "notes": "**Environment:** null\n\n**Pollutant:** |
34 | null\n\n**Variable:** Kernel density of supermarkets in a 800m | ||||
35 | buffer\n\n**Name:** Superm_KD_800m.tif\n\n**Time period:** | ||||
36 | 2020.0\n\n**Temporal resolution:** null\n\n**Spatial resolution:** | ||||
37 | 100x100 m\n\n**Extent:** Full EU\n\n**Unit:** null\n\n**Method:** | ||||
38 | ArcGIS Kernel density tool\n\n**Comments:** Do not link to end points | ||||
39 | collected prior to 2019/2028", | ||||
34 | "num_resources": 2, | 40 | "num_resources": 0, | ||
35 | "num_tags": 0, | 41 | "num_tags": 0, | ||
36 | "organization": { | 42 | "organization": { | ||
37 | "approval_status": "approved", | 43 | "approval_status": "approved", | ||
38 | "created": "2022-03-18T13:02:39.987274", | 44 | "created": "2022-03-18T13:02:39.987274", | ||
39 | "description": "Organization for datasets from the Exposome | 45 | "description": "Organization for datasets from the Exposome | ||
40 | research project", | 46 | research project", | ||
41 | "id": "exposome", | 47 | "id": "exposome", | ||
42 | "image_url": "", | 48 | "image_url": "", | ||
43 | "is_organization": true, | 49 | "is_organization": true, | ||
44 | "name": "exposome", | 50 | "name": "exposome", | ||
45 | "state": "active", | 51 | "state": "active", | ||
46 | "title": "Exposome", | 52 | "title": "Exposome", | ||
47 | "type": "organization" | 53 | "type": "organization" | ||
48 | }, | 54 | }, | ||
49 | "owner_org": "exposome", | 55 | "owner_org": "exposome", | ||
50 | "private": false, | 56 | "private": false, | ||
51 | "relationships_as_object": [], | 57 | "relationships_as_object": [], | ||
52 | "relationships_as_subject": [], | 58 | "relationships_as_subject": [], | ||
t | 53 | "resources": [ | t | 59 | "resources": [], |
54 | { | ||||
55 | "cache_last_updated": null, | ||||
56 | "cache_url": null, | ||||
57 | "created": "2023-05-11T07:54:05.012395", | ||||
58 | "datastore_active": false, | ||||
59 | "description": "food_superm_kd_800m", | ||||
60 | "format": "WMS", | ||||
61 | "hash": "", | ||||
62 | "id": "food_superm_kd_800m_wms", | ||||
63 | "last_modified": null, | ||||
64 | "layer_extent": "[-28.5302734375, 33.3336197302194, | ||||
65 | 49.1650390625, 71.2066516434661]", | ||||
66 | "layer_srid": 4326, | ||||
67 | "mimetype": null, | ||||
68 | "mimetype_inner": null, | ||||
69 | "name": "food_superm_kd_800m", | ||||
70 | "nameValuePairs": [], | ||||
71 | "ows_layer": "food_superm_kd_800m", | ||||
72 | "ows_url": | ||||
73 | atform-nl.dataplatform.nl/geoserver/exposome_research_exposures/wms?", | ||||
74 | "package_id": "food_superm_kd_800m_v1", | ||||
75 | "position": 0, | ||||
76 | "resource_type": null, | ||||
77 | "state": "active", | ||||
78 | "url": | ||||
79 | server/exposome_research_exposures/wms?layerName=food_superm_kd_800m", | ||||
80 | "url_type": null, | ||||
81 | "wms_capabilities_url": | ||||
82 | /exposome_research_exposures/wms?service=wms&request=GetCapabilities", | ||||
83 | "wms_url": | ||||
84 | &srs=EPSG%3A4326&styles=&format=image%2Fpng&request=GetMap&height=384" | ||||
85 | }, | ||||
86 | { | ||||
87 | "cache_last_updated": null, | ||||
88 | "cache_url": null, | ||||
89 | "created": "2023-05-11T07:54:08.376141", | ||||
90 | "datastore_active": false, | ||||
91 | "description": "food_superm_kd_800m", | ||||
92 | "format": "WMTS", | ||||
93 | "hash": "", | ||||
94 | "id": "food_superm_kd_800m_wmts", | ||||
95 | "last_modified": null, | ||||
96 | "mimetype": null, | ||||
97 | "mimetype_inner": null, | ||||
98 | "name": "food_superm_kd_800m", | ||||
99 | "nameValuePairs": [], | ||||
100 | "package_id": "food_superm_kd_800m_v1", | ||||
101 | "position": 1, | ||||
102 | "resource_type": null, | ||||
103 | "state": "active", | ||||
104 | "url": | ||||
105 | rvice/wmts?layerName=exposome_research_exposures:food_superm_kd_800m", | ||||
106 | "url_type": null | ||||
107 | } | ||||
108 | ], | ||||
109 | "state": "active", | 60 | "state": "active", | ||
110 | "tags": [], | 61 | "tags": [], | ||
111 | "title": "food, supermarket, kernel density 800m", | 62 | "title": "food, supermarket, kernel density 800m", | ||
112 | "type": "dataset", | 63 | "type": "dataset", | ||
113 | "url": null | 64 | "url": null | ||
114 | } | 65 | } |