Modifications
On Juillet 4, 2022, 14:41:19 (SAST),
-
Moved Malawi: High Resolution Population Density Maps from organization HDX - The Humanitarian Data Exchange to organization Open Cities Lab
f | 1 | { | f | 1 | { |
2 | "author": "Data for Good at Meta", | 2 | "author": "Data for Good at Meta", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
4 | "creator_user_id": "77d79e63-5fb4-4320-94e4-51e5e9b8031c", | 4 | "creator_user_id": "77d79e63-5fb4-4320-94e4-51e5e9b8031c", | ||
5 | "extras": [], | 5 | "extras": [], | ||
n | 6 | "groups": [], | n | 6 | "groups": [ |
7 | { | ||||
8 | "description": "The Humanitarian Data Exchange (HDX) is an open | ||||
9 | platform for sharing data across crises and organisations. Launched in | ||||
10 | July 2014, the goal of HDX is to make humanitarian data easy to find | ||||
11 | and use for analysis. Our growing collection of datasets has been | ||||
12 | accessed by users in over 200 countries and territories.\r\n\r\nHDX is | ||||
13 | managed by OCHA's Centre for Humanitarian Data, which is located in | ||||
14 | The Hague. OCHA is part of the United Nations Secretariat and is | ||||
15 | responsible for bringing together humanitarian actors to ensure a | ||||
16 | coherent response to emergencies. The HDX team includes OCHA staff and | ||||
17 | a number of consultants who are based in North America, Europe and | ||||
18 | Africa.", | ||||
19 | "display_name": "HDX: Humanitarian Data Exchange", | ||||
20 | "id": "15791998-b8b5-41fa-841f-0393addadcbf", | ||||
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22 | "https://data.humdata.org/images/homepage/logo-hdx.svg", | ||||
23 | "name": "hdx-humanitarian-data-exchange", | ||||
24 | "title": "HDX: Humanitarian Data Exchange" | ||||
25 | }, | ||||
26 | { | ||||
27 | "description": "", | ||||
28 | "display_name": "Population ", | ||||
29 | "id": "ad455715-07fc-421f-aef4-780b25b9c67a", | ||||
30 | "image_display_url": "", | ||||
31 | "name": "population", | ||||
32 | "title": "Population " | ||||
33 | } | ||||
34 | ], | ||||
7 | "id": "1ada1d8c-c272-4fb2-b2ce-515ee86daae6", | 35 | "id": "1ada1d8c-c272-4fb2-b2ce-515ee86daae6", | ||
8 | "isopen": true, | 36 | "isopen": true, | ||
9 | "license_id": "cc-by", | 37 | "license_id": "cc-by", | ||
10 | "license_title": "Creative Commons Attribution", | 38 | "license_title": "Creative Commons Attribution", | ||
11 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 39 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
12 | "maintainer": "Brian O'Leary", | 40 | "maintainer": "Brian O'Leary", | ||
13 | "maintainer_email": "[email protected]", | 41 | "maintainer_email": "[email protected]", | ||
14 | "metadata_created": "2022-06-30T09:34:41.848429", | 42 | "metadata_created": "2022-06-30T09:34:41.848429", | ||
n | 15 | "metadata_modified": "2022-06-30T09:35:31.103611", | n | 43 | "metadata_modified": "2022-07-04T12:41:18.972091", |
16 | "name": "malawi-high-resolution-population-density-maps", | 44 | "name": "malawi-high-resolution-population-density-maps", | ||
17 | "notes": "V1.5 The world's most accurate population datasets. Seven | 45 | "notes": "V1.5 The world's most accurate population datasets. Seven | ||
18 | maps/datasets for the distribution of various populations in Malawi: | 46 | maps/datasets for the distribution of various populations in Malawi: | ||
19 | (1) Overall population density (2) Women (3) Men (4) Children (ages | 47 | (1) Overall population density (2) Women (3) Men (4) Children (ages | ||
20 | 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of | 48 | 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of | ||
21 | reproductive age (ages 15-49).", | 49 | reproductive age (ages 15-49).", | ||
22 | "num_resources": 1, | 50 | "num_resources": 1, | ||
23 | "num_tags": 4, | 51 | "num_tags": 4, | ||
24 | "organization": { | 52 | "organization": { | ||
25 | "approval_status": "approved", | 53 | "approval_status": "approved", | ||
n | 26 | "created": "2022-06-15T09:44:22.871262", | n | 54 | "created": "2022-07-04T08:06:45.420882", |
27 | "description": "The Humanitarian Data Exchange (HDX) is an open | 55 | "description": "We work to build inclusion and participatory | ||
28 | platform for sharing data across crises and organisations. Launched in | 56 | democracy in cities and urban spaces through empowering citizens, | ||
29 | July 2014, the goal of HDX is to make humanitarian data easy to find | 57 | building trust and accountability in civic space, and capacitating | ||
30 | and use for analysis. Our growing collection of datasets has been | 58 | government. You can find our website | ||
31 | accessed by users in over 200 countries and territories.\r\n\r\nHDX is | 59 | [here](https://opencitieslab.org/).", | ||
32 | managed by OCHA's Centre for Humanitarian Data, which is located in | 60 | "id": "8e526815-d516-4f6c-9ae0-a4d62555c30c", | ||
33 | The Hague. OCHA is part of the United Nations Secretariat and is | ||||
34 | responsible for bringing together humanitarian actors to ensure a | ||||
35 | coherent response to emergencies. The HDX team includes OCHA staff and | ||||
36 | a number of consultants who are based in North America, Europe and | ||||
37 | Africa.", | ||||
38 | "id": "ad11db0c-27d3-433d-bc99-973c2ffae709", | ||||
39 | "image_url": | 61 | "image_url": | ||
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41 | "is_organization": true, | 63 | "is_organization": true, | ||
n | 42 | "name": "hdx-the-humanitarian-data-exchange", | n | 64 | "name": "open-cities-lab", |
43 | "revision_id": "e6c349dd-82c3-4176-a1c7-a4d89d8eae93", | 65 | "revision_id": "35e0d462-e6b8-4c18-8743-e9361e136009", | ||
44 | "state": "active", | 66 | "state": "active", | ||
n | 45 | "title": "HDX - The Humanitarian Data Exchange", | n | 67 | "title": "Open Cities Lab", |
46 | "type": "organization" | 68 | "type": "organization" | ||
47 | }, | 69 | }, | ||
n | 48 | "owner_org": "ad11db0c-27d3-433d-bc99-973c2ffae709", | n | 70 | "owner_org": "8e526815-d516-4f6c-9ae0-a4d62555c30c", |
49 | "private": false, | 71 | "private": false, | ||
50 | "relationships_as_object": [], | 72 | "relationships_as_object": [], | ||
51 | "relationships_as_subject": [], | 73 | "relationships_as_subject": [], | ||
52 | "resources": [ | 74 | "resources": [ | ||
53 | { | 75 | { | ||
54 | "cache_last_updated": null, | 76 | "cache_last_updated": null, | ||
55 | "cache_url": null, | 77 | "cache_url": null, | ||
56 | "created": "2022-06-30T09:35:30.946634", | 78 | "created": "2022-06-30T09:35:30.946634", | ||
57 | "datastore_active": false, | 79 | "datastore_active": false, | ||
58 | "description": "V1.5 The world's most accurate population | 80 | "description": "V1.5 The world's most accurate population | ||
59 | datasets. Seven maps/datasets for the distribution of various | 81 | datasets. Seven maps/datasets for the distribution of various | ||
60 | populations in Malawi: (1) Overall population density (2) Women (3) | 82 | populations in Malawi: (1) Overall population density (2) Women (3) | ||
61 | Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages | 83 | Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages | ||
62 | 60+) (7) Women of reproductive age (ages 15-49).", | 84 | 60+) (7) Women of reproductive age (ages 15-49).", | ||
63 | "format": "", | 85 | "format": "", | ||
64 | "hash": "", | 86 | "hash": "", | ||
65 | "id": "55bb924e-2711-4dba-a4de-f694592266ba", | 87 | "id": "55bb924e-2711-4dba-a4de-f694592266ba", | ||
66 | "last_modified": null, | 88 | "last_modified": null, | ||
67 | "mimetype": null, | 89 | "mimetype": null, | ||
68 | "mimetype_inner": null, | 90 | "mimetype_inner": null, | ||
69 | "name": "Malawi: High Resolution Population Density Maps", | 91 | "name": "Malawi: High Resolution Population Density Maps", | ||
70 | "package_id": "1ada1d8c-c272-4fb2-b2ce-515ee86daae6", | 92 | "package_id": "1ada1d8c-c272-4fb2-b2ce-515ee86daae6", | ||
71 | "position": 0, | 93 | "position": 0, | ||
72 | "resource_type": null, | 94 | "resource_type": null, | ||
73 | "revision_id": "ae8f1d6b-7776-4e39-97a6-de72b30edf37", | 95 | "revision_id": "ae8f1d6b-7776-4e39-97a6-de72b30edf37", | ||
74 | "size": null, | 96 | "size": null, | ||
75 | "state": "active", | 97 | "state": "active", | ||
76 | "url": | 98 | "url": | ||
77 | s://data.humdata.org/dataset/highresolutionpopulationdensitymaps-mwi", | 99 | s://data.humdata.org/dataset/highresolutionpopulationdensitymaps-mwi", | ||
78 | "url_type": null | 100 | "url_type": null | ||
79 | } | 101 | } | ||
80 | ], | 102 | ], | ||
t | 81 | "revision_id": "ae8f1d6b-7776-4e39-97a6-de72b30edf37", | t | 103 | "revision_id": "875b5fd8-fc6e-432e-b55b-6a6a45b0071e", |
82 | "state": "active", | 104 | "state": "active", | ||
83 | "tags": [ | 105 | "tags": [ | ||
84 | { | 106 | { | ||
85 | "display_name": "Malawi", | 107 | "display_name": "Malawi", | ||
86 | "id": "d73c18ca-54cb-42b9-aa41-cac9d61e3a65", | 108 | "id": "d73c18ca-54cb-42b9-aa41-cac9d61e3a65", | ||
87 | "name": "Malawi", | 109 | "name": "Malawi", | ||
88 | "state": "active", | 110 | "state": "active", | ||
89 | "vocabulary_id": null | 111 | "vocabulary_id": null | ||
90 | }, | 112 | }, | ||
91 | { | 113 | { | ||
92 | "display_name": "population count", | 114 | "display_name": "population count", | ||
93 | "id": "f7228262-21a4-4fe5-a713-f43c29367f23", | 115 | "id": "f7228262-21a4-4fe5-a713-f43c29367f23", | ||
94 | "name": "population count", | 116 | "name": "population count", | ||
95 | "state": "active", | 117 | "state": "active", | ||
96 | "vocabulary_id": null | 118 | "vocabulary_id": null | ||
97 | }, | 119 | }, | ||
98 | { | 120 | { | ||
99 | "display_name": "population density", | 121 | "display_name": "population density", | ||
100 | "id": "98311ff5-1cea-4f34-92fb-c0757c6ce5ca", | 122 | "id": "98311ff5-1cea-4f34-92fb-c0757c6ce5ca", | ||
101 | "name": "population density", | 123 | "name": "population density", | ||
102 | "state": "active", | 124 | "state": "active", | ||
103 | "vocabulary_id": null | 125 | "vocabulary_id": null | ||
104 | }, | 126 | }, | ||
105 | { | 127 | { | ||
106 | "display_name": "population mapping", | 128 | "display_name": "population mapping", | ||
107 | "id": "5a75e952-d82b-44e3-8152-e0408a3cb3e3", | 129 | "id": "5a75e952-d82b-44e3-8152-e0408a3cb3e3", | ||
108 | "name": "population mapping", | 130 | "name": "population mapping", | ||
109 | "state": "active", | 131 | "state": "active", | ||
110 | "vocabulary_id": null | 132 | "vocabulary_id": null | ||
111 | } | 133 | } | ||
112 | ], | 134 | ], | ||
113 | "title": "Malawi: High Resolution Population Density Maps", | 135 | "title": "Malawi: High Resolution Population Density Maps", | ||
114 | "type": "dataset", | 136 | "type": "dataset", | ||
115 | "url": | 137 | "url": | ||
116 | s://data.humdata.org/dataset/highresolutionpopulationdensitymaps-mwi", | 138 | s://data.humdata.org/dataset/highresolutionpopulationdensitymaps-mwi", | ||
117 | "version": "" | 139 | "version": "" | ||
118 | } | 140 | } |