Zmiany
On June 14, 2023, 11:44:05 (SAST),
-
Deleted resource moz_women_csv.zip from Mozambique: High Resolution Population Density Maps + Demographic Estimates
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": "34f7a594-935e-4ac6-b13c-8bb3b861b487", | 4 | "creator_user_id": "34f7a594-935e-4ac6-b13c-8bb3b861b487", | ||
5 | "extras": [], | 5 | "extras": [], | ||
6 | "groups": [ | 6 | "groups": [ | ||
7 | { | 7 | { | ||
8 | "description": "The Humanitarian Data Exchange (HDX) is an open | 8 | "description": "The Humanitarian Data Exchange (HDX) is an open | ||
9 | platform for sharing data across crises and organisations. Launched in | 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 | 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 | 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 | 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 | 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 | 14 | The Hague. OCHA is part of the United Nations Secretariat and is | ||
15 | responsible for bringing together humanitarian actors to ensure a | 15 | responsible for bringing together humanitarian actors to ensure a | ||
16 | coherent response to emergencies. The HDX team includes OCHA staff and | 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 | 17 | a number of consultants who are based in North America, Europe and | ||
18 | Africa.", | 18 | Africa.", | ||
19 | "display_name": "HDX: Humanitarian Data Exchange", | 19 | "display_name": "HDX: Humanitarian Data Exchange", | ||
20 | "id": "15791998-b8b5-41fa-841f-0393addadcbf", | 20 | "id": "15791998-b8b5-41fa-841f-0393addadcbf", | ||
21 | "image_display_url": | 21 | "image_display_url": | ||
22 | "https://data.humdata.org/images/homepage/logo-hdx.svg", | 22 | "https://data.humdata.org/images/homepage/logo-hdx.svg", | ||
23 | "name": "hdx-humanitarian-data-exchange", | 23 | "name": "hdx-humanitarian-data-exchange", | ||
24 | "title": "HDX: Humanitarian Data Exchange" | 24 | "title": "HDX: Humanitarian Data Exchange" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "description": "", | 27 | "description": "", | ||
28 | "display_name": "Population ", | 28 | "display_name": "Population ", | ||
29 | "id": "ad455715-07fc-421f-aef4-780b25b9c67a", | 29 | "id": "ad455715-07fc-421f-aef4-780b25b9c67a", | ||
30 | "image_display_url": "", | 30 | "image_display_url": "", | ||
31 | "name": "population", | 31 | "name": "population", | ||
32 | "title": "Population " | 32 | "title": "Population " | ||
33 | } | 33 | } | ||
34 | ], | 34 | ], | ||
35 | "id": "1349dec1-d0e1-42ae-bf10-e4dcad29b580", | 35 | "id": "1349dec1-d0e1-42ae-bf10-e4dcad29b580", | ||
36 | "isopen": true, | 36 | "isopen": true, | ||
37 | "license_id": "cc-by", | 37 | "license_id": "cc-by", | ||
38 | "license_title": "Creative Commons Attribution", | 38 | "license_title": "Creative Commons Attribution", | ||
39 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 39 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
40 | "maintainer": "Heiko Heilgendorff (OCL)", | 40 | "maintainer": "Heiko Heilgendorff (OCL)", | ||
41 | "maintainer_email": "[email protected]", | 41 | "maintainer_email": "[email protected]", | ||
42 | "metadata_created": "2021-06-09T14:17:22.082441", | 42 | "metadata_created": "2021-06-09T14:17:22.082441", | ||
n | 43 | "metadata_modified": "2023-06-14T09:43:50.263593", | n | 43 | "metadata_modified": "2023-06-14T09:44:04.847479", |
44 | "name": | 44 | "name": | ||
45 | mbique-high-resolution-population-density-maps-demographic-estimates", | 45 | mbique-high-resolution-population-density-maps-demographic-estimates", | ||
46 | "notes": "VERSION 1.5. The world's most accurate population | 46 | "notes": "VERSION 1.5. The world's most accurate population | ||
47 | datasets. Seven maps/datasets for the distribution of various | 47 | datasets. Seven maps/datasets for the distribution of various | ||
48 | populations in Mozambique: (1) Overall population density (2) Women | 48 | populations in Mozambique: (1) Overall population density (2) Women | ||
49 | (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly | 49 | (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly | ||
50 | (ages 60+) (7) Women of reproductive age (ages 15-49).\r\n\r\n### | 50 | (ages 60+) (7) Women of reproductive age (ages 15-49).\r\n\r\n### | ||
51 | Methodology\r\n\r\nThese high-resolution maps are created using | 51 | Methodology\r\n\r\nThese high-resolution maps are created using | ||
52 | machine learning techniques to identify buildings from commercially | 52 | machine learning techniques to identify buildings from commercially | ||
53 | available satellite images. This is then overlayed with general | 53 | available satellite images. This is then overlayed with general | ||
54 | population estimates based on publicly available census data and other | 54 | population estimates based on publicly available census data and other | ||
55 | population statistics at Columbia University. The resulting maps are | 55 | population statistics at Columbia University. The resulting maps are | ||
56 | the most detailed and actionable tools available for aid and research | 56 | the most detailed and actionable tools available for aid and research | ||
57 | organizations. For more information about the methodology used to | 57 | organizations. For more information about the methodology used to | ||
58 | create our high resolution population density maps and the demographic | 58 | create our high resolution population density maps and the demographic | ||
59 | distributions, click | 59 | distributions, click | ||
60 | resolution-population-density-maps-demographic-estimates/).\r\n\r\nFor | 60 | resolution-population-density-maps-demographic-estimates/).\r\n\r\nFor | ||
61 | information about how to use HDX to access these datasets, please | 61 | information about how to use HDX to access these datasets, please | ||
62 | visit: | 62 | visit: | ||
63 | n-density-maps-demographic-estimates-documentation/\r\n\r\nAdjustments | 63 | n-density-maps-demographic-estimates-documentation/\r\n\r\nAdjustments | ||
64 | to match the census population with the UN estimates are applied at | 64 | to match the census population with the UN estimates are applied at | ||
65 | the national level. The UN estimate for a given country (or | 65 | the national level. The UN estimate for a given country (or | ||
66 | state/territory) is divided by the total census estimate of population | 66 | state/territory) is divided by the total census estimate of population | ||
67 | for the given country. The resulting adjustment factor is multiplied | 67 | for the given country. The resulting adjustment factor is multiplied | ||
68 | by each administrative unit census value for the target year. This | 68 | by each administrative unit census value for the target year. This | ||
69 | preserves the relative population totals across administrative units | 69 | preserves the relative population totals across administrative units | ||
70 | while matching the UN total. More information can be found | 70 | while matching the UN total. More information can be found | ||
71 | ocs/census-information-for-high-resolution-population-density-maps/)", | 71 | ocs/census-information-for-high-resolution-population-density-maps/)", | ||
n | 72 | "num_resources": 7, | n | 72 | "num_resources": 6, |
73 | "num_tags": 8, | 73 | "num_tags": 8, | ||
74 | "organization": { | 74 | "organization": { | ||
75 | "approval_status": "approved", | 75 | "approval_status": "approved", | ||
76 | "created": "2022-07-04T08:06:45.420882", | 76 | "created": "2022-07-04T08:06:45.420882", | ||
77 | "description": "We work to build inclusion and participatory | 77 | "description": "We work to build inclusion and participatory | ||
78 | democracy in cities and urban spaces through empowering citizens, | 78 | democracy in cities and urban spaces through empowering citizens, | ||
79 | building trust and accountability in civic space, and capacitating | 79 | building trust and accountability in civic space, and capacitating | ||
80 | government. You can find our website | 80 | government. You can find our website | ||
81 | [here](https://opencitieslab.org/).", | 81 | [here](https://opencitieslab.org/).", | ||
82 | "id": "8e526815-d516-4f6c-9ae0-a4d62555c30c", | 82 | "id": "8e526815-d516-4f6c-9ae0-a4d62555c30c", | ||
83 | "image_url": | 83 | "image_url": | ||
84 | ttps://opencitieslab.org/odd/static/dist/img/ocl_logo_header-nav.png", | 84 | ttps://opencitieslab.org/odd/static/dist/img/ocl_logo_header-nav.png", | ||
85 | "is_organization": true, | 85 | "is_organization": true, | ||
86 | "name": "open-cities-lab", | 86 | "name": "open-cities-lab", | ||
87 | "revision_id": "35e0d462-e6b8-4c18-8743-e9361e136009", | 87 | "revision_id": "35e0d462-e6b8-4c18-8743-e9361e136009", | ||
88 | "state": "active", | 88 | "state": "active", | ||
89 | "title": "Open Cities Lab", | 89 | "title": "Open Cities Lab", | ||
90 | "type": "organization" | 90 | "type": "organization" | ||
91 | }, | 91 | }, | ||
92 | "owner_org": "8e526815-d516-4f6c-9ae0-a4d62555c30c", | 92 | "owner_org": "8e526815-d516-4f6c-9ae0-a4d62555c30c", | ||
93 | "private": false, | 93 | "private": false, | ||
94 | "relationships_as_object": [], | 94 | "relationships_as_object": [], | ||
95 | "relationships_as_subject": [], | 95 | "relationships_as_subject": [], | ||
96 | "resources": [ | 96 | "resources": [ | ||
97 | { | 97 | { | ||
98 | "cache_last_updated": null, | 98 | "cache_last_updated": null, | ||
99 | "cache_url": null, | 99 | "cache_url": null, | ||
n | 100 | "created": "2021-06-09T14:20:02.746077", | n | 100 | "created": "2021-06-09T14:20:19.636913", |
101 | "datastore_active": false, | ||||
102 | "description": "", | ||||
103 | "format": "geotiff", | ||||
104 | "hash": "", | ||||
105 | "id": "e9f5a418-383f-4d64-b058-0c7bd2f3e404", | ||||
106 | "last_modified": null, | ||||
107 | "mimetype": null, | ||||
108 | "mimetype_inner": null, | ||||
109 | "name": "moz_women_geotiff.zip", | ||||
110 | "package_id": "1349dec1-d0e1-42ae-bf10-e4dcad29b580", | ||||
111 | "position": 0, | ||||
112 | "resource_type": null, | ||||
113 | "revision_id": "06d14251-372e-4991-8aa3-675ce3b38335", | ||||
114 | "size": null, | ||||
115 | "state": "active", | ||||
116 | "url": | ||||
117 | /ade6718e-b3cf-4fb5-bce4-e1f539b0b3b9/download/moz_women_geotiff.zip", | ||||
118 | "url_type": null | ||||
119 | }, | ||||
120 | { | ||||
121 | "cache_last_updated": null, | ||||
122 | "cache_url": null, | ||||
123 | "created": "2021-06-09T14:20:38.873490", | ||||
101 | "datastore_active": false, | 124 | "datastore_active": false, | ||
102 | "description": "", | 125 | "description": "", | ||
103 | "format": "CSV", | 126 | "format": "CSV", | ||
104 | "hash": "", | 127 | "hash": "", | ||
n | 105 | "id": "1c5640ab-dd0f-4705-a31a-a5ac95627428", | n | 128 | "id": "cb925f16-a8ee-4ad5-b47f-ffbe1b983554", |
106 | "last_modified": null, | 129 | "last_modified": null, | ||
n | 107 | "mimetype": null, | n | ||
108 | "mimetype_inner": null, | 130 | "mimetype": null, | ||
109 | "name": "moz_women_csv.zip", | 131 | "mimetype_inner": null, | ||
132 | "name": "moz_women_of_reproductive_age_15_49_csv.zip", | ||||
110 | "package_id": "1349dec1-d0e1-42ae-bf10-e4dcad29b580", | 133 | "package_id": "1349dec1-d0e1-42ae-bf10-e4dcad29b580", | ||
n | 111 | "position": 0, | n | 134 | "position": 1, |
112 | "resource_type": null, | ||||
113 | "revision_id": "607a8b41-b1b7-4628-a0c4-d48181b34f61", | ||||
114 | "size": null, | ||||
115 | "state": "active", | ||||
116 | "url": | ||||
117 | urce/5e009706-12f3-42d5-900c-ae592c77023a/download/moz_women_csv.zip", | ||||
118 | "url_type": null | 135 | "resource_type": null, | ||
136 | "revision_id": "06d14251-372e-4991-8aa3-675ce3b38335", | ||||
137 | "size": null, | ||||
138 | "state": "active", | ||||
139 | "url": | ||||
140 | 53-8fd2c5f50d83/download/moz_women_of_reproductive_age_15_49_csv.zip", | ||||
141 | "url_type": null | ||||
119 | }, | 142 | }, | ||
120 | { | 143 | { | ||
n | 121 | "cache_last_updated": null, | n | ||
122 | "cache_url": null, | 144 | "cache_last_updated": null, | ||
145 | "cache_url": null, | ||||
123 | "created": "2021-06-09T14:20:19.636913", | 146 | "created": "2021-06-09T14:21:05.846337", | ||
124 | "datastore_active": false, | 147 | "datastore_active": false, | ||
125 | "description": "", | 148 | "description": "", | ||
126 | "format": "geotiff", | 149 | "format": "geotiff", | ||
127 | "hash": "", | 150 | "hash": "", | ||
n | 128 | "id": "e9f5a418-383f-4d64-b058-0c7bd2f3e404", | n | 151 | "id": "7d142472-635f-4c9e-ab4b-f0c149ad7953", |
129 | "last_modified": null, | 152 | "last_modified": null, | ||
n | 130 | "mimetype": null, | n | ||
131 | "mimetype_inner": null, | 153 | "mimetype": null, | ||
154 | "mimetype_inner": null, | ||||
132 | "name": "moz_women_geotiff.zip", | 155 | "name": "moz_youth_15_24_geotiff.zip", | ||
133 | "package_id": "1349dec1-d0e1-42ae-bf10-e4dcad29b580", | 156 | "package_id": "1349dec1-d0e1-42ae-bf10-e4dcad29b580", | ||
n | 134 | "position": 1, | n | 157 | "position": 2, |
135 | "resource_type": null, | ||||
136 | "revision_id": "607a8b41-b1b7-4628-a0c4-d48181b34f61", | ||||
137 | "size": null, | ||||
138 | "state": "active", | ||||
139 | "url": | ||||
140 | /ade6718e-b3cf-4fb5-bce4-e1f539b0b3b9/download/moz_women_geotiff.zip", | ||||
141 | "url_type": null | 158 | "resource_type": null, | ||
159 | "revision_id": "06d14251-372e-4991-8aa3-675ce3b38335", | ||||
160 | "size": null, | ||||
161 | "state": "active", | ||||
162 | "url": | ||||
163 | ac1-181f-4563-a43a-96db1e811d7e/download/moz_youth_15_24_geotiff.zip", | ||||
164 | "url_type": null | ||||
142 | }, | 165 | }, | ||
143 | { | 166 | { | ||
n | 144 | "cache_last_updated": null, | n | ||
145 | "cache_url": null, | 167 | "cache_last_updated": null, | ||
168 | "cache_url": null, | ||||
146 | "created": "2021-06-09T14:20:38.873490", | 169 | "created": "2021-06-09T14:22:03.420739", | ||
170 | "datastore_active": false, | ||||
171 | "description": "", | ||||
172 | "format": "geotiff", | ||||
173 | "hash": "", | ||||
174 | "id": "b85696c1-b4e0-47ab-b7dd-e7c725b57e2a", | ||||
175 | "last_modified": null, | ||||
176 | "mimetype": null, | ||||
177 | "mimetype_inner": null, | ||||
178 | "name": "moz_women_of_reproductive_age_15_49_geotiff.zip", | ||||
179 | "package_id": "1349dec1-d0e1-42ae-bf10-e4dcad29b580", | ||||
180 | "position": 3, | ||||
181 | "resource_type": null, | ||||
182 | "revision_id": "06d14251-372e-4991-8aa3-675ce3b38335", | ||||
183 | "size": null, | ||||
184 | "state": "active", | ||||
185 | "url": | ||||
186 | 1c1c5cbec1d/download/moz_women_of_reproductive_age_15_49_geotiff.zip", | ||||
187 | "url_type": null | ||||
188 | }, | ||||
189 | { | ||||
190 | "cache_last_updated": null, | ||||
191 | "cache_url": null, | ||||
192 | "created": "2021-06-09T14:22:23.270862", | ||||
147 | "datastore_active": false, | 193 | "datastore_active": false, | ||
148 | "description": "", | 194 | "description": "", | ||
149 | "format": "CSV", | 195 | "format": "CSV", | ||
150 | "hash": "", | 196 | "hash": "", | ||
n | 151 | "id": "cb925f16-a8ee-4ad5-b47f-ffbe1b983554", | n | 197 | "id": "4794d234-3d95-4147-8327-6a4059d04bb9", |
152 | "last_modified": null, | 198 | "last_modified": null, | ||
n | 153 | "mimetype": null, | n | ||
154 | "mimetype_inner": null, | 199 | "mimetype": null, | ||
155 | "name": "moz_women_of_reproductive_age_15_49_csv.zip", | ||||
156 | "package_id": "1349dec1-d0e1-42ae-bf10-e4dcad29b580", | ||||
157 | "position": 2, | ||||
158 | "resource_type": null, | ||||
159 | "revision_id": "607a8b41-b1b7-4628-a0c4-d48181b34f61", | ||||
160 | "size": null, | ||||
161 | "state": "active", | ||||
162 | "url": | ||||
163 | 53-8fd2c5f50d83/download/moz_women_of_reproductive_age_15_49_csv.zip", | ||||
164 | "url_type": null | ||||
165 | }, | ||||
166 | { | ||||
167 | "cache_last_updated": null, | ||||
168 | "cache_url": null, | ||||
169 | "created": "2021-06-09T14:21:05.846337", | ||||
170 | "datastore_active": false, | ||||
171 | "description": "", | ||||
172 | "format": "geotiff", | ||||
173 | "hash": "", | ||||
174 | "id": "7d142472-635f-4c9e-ab4b-f0c149ad7953", | ||||
175 | "last_modified": null, | ||||
176 | "mimetype": null, | 200 | "mimetype_inner": null, | ||
177 | "mimetype_inner": null, | ||||
178 | "name": "moz_youth_15_24_geotiff.zip", | 201 | "name": "moz_youth_15_24_csv.zip", | ||
179 | "package_id": "1349dec1-d0e1-42ae-bf10-e4dcad29b580", | ||||
180 | "position": 3, | ||||
181 | "resource_type": null, | ||||
182 | "revision_id": "607a8b41-b1b7-4628-a0c4-d48181b34f61", | ||||
183 | "size": null, | ||||
184 | "state": "active", | ||||
185 | "url": | ||||
186 | ac1-181f-4563-a43a-96db1e811d7e/download/moz_youth_15_24_geotiff.zip", | ||||
187 | "url_type": null | ||||
188 | }, | ||||
189 | { | ||||
190 | "cache_last_updated": null, | ||||
191 | "cache_url": null, | ||||
192 | "created": "2021-06-09T14:22:03.420739", | ||||
193 | "datastore_active": false, | ||||
194 | "description": "", | ||||
195 | "format": "geotiff", | ||||
196 | "hash": "", | ||||
197 | "id": "b85696c1-b4e0-47ab-b7dd-e7c725b57e2a", | ||||
198 | "last_modified": null, | ||||
199 | "mimetype": null, | ||||
200 | "mimetype_inner": null, | ||||
201 | "name": "moz_women_of_reproductive_age_15_49_geotiff.zip", | ||||
202 | "package_id": "1349dec1-d0e1-42ae-bf10-e4dcad29b580", | 202 | "package_id": "1349dec1-d0e1-42ae-bf10-e4dcad29b580", | ||
203 | "position": 4, | 203 | "position": 4, | ||
204 | "resource_type": null, | 204 | "resource_type": null, | ||
n | 205 | "revision_id": "607a8b41-b1b7-4628-a0c4-d48181b34f61", | n | 205 | "revision_id": "06d14251-372e-4991-8aa3-675ce3b38335", |
206 | "size": null, | ||||
207 | "state": "active", | ||||
208 | "url": | ||||
209 | 1c1c5cbec1d/download/moz_women_of_reproductive_age_15_49_geotiff.zip", | ||||
210 | "url_type": null | ||||
211 | }, | ||||
212 | { | ||||
213 | "cache_last_updated": null, | ||||
214 | "cache_url": null, | ||||
215 | "created": "2021-06-09T14:22:23.270862", | ||||
216 | "datastore_active": false, | ||||
217 | "description": "", | ||||
218 | "format": "CSV", | ||||
219 | "hash": "", | ||||
220 | "id": "4794d234-3d95-4147-8327-6a4059d04bb9", | ||||
221 | "last_modified": null, | ||||
222 | "mimetype": null, | ||||
223 | "mimetype_inner": null, | ||||
224 | "name": "moz_youth_15_24_csv.zip", | ||||
225 | "package_id": "1349dec1-d0e1-42ae-bf10-e4dcad29b580", | ||||
226 | "position": 5, | ||||
227 | "resource_type": null, | ||||
228 | "revision_id": "607a8b41-b1b7-4628-a0c4-d48181b34f61", | ||||
229 | "size": null, | 206 | "size": null, | ||
230 | "state": "active", | 207 | "state": "active", | ||
231 | "url": | 208 | "url": | ||
232 | 54462ec-34db-413d-b89c-d103b742c7d4/download/moz_youth_15_24_csv.zip", | 209 | 54462ec-34db-413d-b89c-d103b742c7d4/download/moz_youth_15_24_csv.zip", | ||
233 | "url_type": null | 210 | "url_type": null | ||
234 | }, | 211 | }, | ||
235 | { | 212 | { | ||
236 | "cache_last_updated": null, | 213 | "cache_last_updated": null, | ||
237 | "cache_url": null, | 214 | "cache_url": null, | ||
238 | "created": "2022-06-15T17:29:21.302423", | 215 | "created": "2022-06-15T17:29:21.302423", | ||
239 | "datastore_active": false, | 216 | "datastore_active": false, | ||
240 | "description": "VERSION 1.5. The world's most accurate | 217 | "description": "VERSION 1.5. The world's most accurate | ||
241 | population datasets. Seven maps/datasets for the distribution of | 218 | population datasets. Seven maps/datasets for the distribution of | ||
242 | various populations in Mozambique: (1) Overall population density (2) | 219 | various populations in Mozambique: (1) Overall population density (2) | ||
243 | Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) | 220 | Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) | ||
244 | Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).", | 221 | Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).", | ||
245 | "format": "", | 222 | "format": "", | ||
246 | "hash": "", | 223 | "hash": "", | ||
247 | "id": "07d953a3-2778-4639-9d82-f41a779fa201", | 224 | "id": "07d953a3-2778-4639-9d82-f41a779fa201", | ||
248 | "last_modified": null, | 225 | "last_modified": null, | ||
249 | "mimetype": null, | 226 | "mimetype": null, | ||
250 | "mimetype_inner": null, | 227 | "mimetype_inner": null, | ||
251 | "name": "high resolution population densitymaps", | 228 | "name": "high resolution population densitymaps", | ||
252 | "package_id": "1349dec1-d0e1-42ae-bf10-e4dcad29b580", | 229 | "package_id": "1349dec1-d0e1-42ae-bf10-e4dcad29b580", | ||
n | 253 | "position": 6, | n | 230 | "position": 5, |
254 | "resource_type": null, | 231 | "resource_type": null, | ||
t | 255 | "revision_id": "607a8b41-b1b7-4628-a0c4-d48181b34f61", | t | 232 | "revision_id": "06d14251-372e-4991-8aa3-675ce3b38335", |
256 | "size": null, | 233 | "size": null, | ||
257 | "state": "active", | 234 | "state": "active", | ||
258 | "url": | 235 | "url": | ||
259 | s://data.humdata.org/dataset/highresolutionpopulationdensitymaps-moz", | 236 | s://data.humdata.org/dataset/highresolutionpopulationdensitymaps-moz", | ||
260 | "url_type": null | 237 | "url_type": null | ||
261 | } | 238 | } | ||
262 | ], | 239 | ], | ||
263 | "revision_id": "d1bc9b06-31d7-4d24-8177-666d7cdd5572", | 240 | "revision_id": "d1bc9b06-31d7-4d24-8177-666d7cdd5572", | ||
264 | "state": "active", | 241 | "state": "active", | ||
265 | "tags": [ | 242 | "tags": [ | ||
266 | { | 243 | { | ||
267 | "display_name": "children", | 244 | "display_name": "children", | ||
268 | "id": "a31aa94e-cdbe-470b-b953-602bfc01eeab", | 245 | "id": "a31aa94e-cdbe-470b-b953-602bfc01eeab", | ||
269 | "name": "children", | 246 | "name": "children", | ||
270 | "state": "active", | 247 | "state": "active", | ||
271 | "vocabulary_id": null | 248 | "vocabulary_id": null | ||
272 | }, | 249 | }, | ||
273 | { | 250 | { | ||
274 | "display_name": "elderly", | 251 | "display_name": "elderly", | ||
275 | "id": "9c11b077-a76b-4a95-b6ee-afb6c112f48c", | 252 | "id": "9c11b077-a76b-4a95-b6ee-afb6c112f48c", | ||
276 | "name": "elderly", | 253 | "name": "elderly", | ||
277 | "state": "active", | 254 | "state": "active", | ||
278 | "vocabulary_id": null | 255 | "vocabulary_id": null | ||
279 | }, | 256 | }, | ||
280 | { | 257 | { | ||
281 | "display_name": "geodata", | 258 | "display_name": "geodata", | ||
282 | "id": "7801f2cc-853c-4190-b21a-641a82b8d1f1", | 259 | "id": "7801f2cc-853c-4190-b21a-641a82b8d1f1", | ||
283 | "name": "geodata", | 260 | "name": "geodata", | ||
284 | "state": "active", | 261 | "state": "active", | ||
285 | "vocabulary_id": null | 262 | "vocabulary_id": null | ||
286 | }, | 263 | }, | ||
287 | { | 264 | { | ||
288 | "display_name": "men", | 265 | "display_name": "men", | ||
289 | "id": "887bf1dd-dcf9-42ab-9e75-7ee55de689a2", | 266 | "id": "887bf1dd-dcf9-42ab-9e75-7ee55de689a2", | ||
290 | "name": "men", | 267 | "name": "men", | ||
291 | "state": "active", | 268 | "state": "active", | ||
292 | "vocabulary_id": null | 269 | "vocabulary_id": null | ||
293 | }, | 270 | }, | ||
294 | { | 271 | { | ||
295 | "display_name": "population density", | 272 | "display_name": "population density", | ||
296 | "id": "98311ff5-1cea-4f34-92fb-c0757c6ce5ca", | 273 | "id": "98311ff5-1cea-4f34-92fb-c0757c6ce5ca", | ||
297 | "name": "population density", | 274 | "name": "population density", | ||
298 | "state": "active", | 275 | "state": "active", | ||
299 | "vocabulary_id": null | 276 | "vocabulary_id": null | ||
300 | }, | 277 | }, | ||
301 | { | 278 | { | ||
302 | "display_name": "reproductive", | 279 | "display_name": "reproductive", | ||
303 | "id": "6fb38736-99e6-40c9-b3b3-da34da5e6cf5", | 280 | "id": "6fb38736-99e6-40c9-b3b3-da34da5e6cf5", | ||
304 | "name": "reproductive", | 281 | "name": "reproductive", | ||
305 | "state": "active", | 282 | "state": "active", | ||
306 | "vocabulary_id": null | 283 | "vocabulary_id": null | ||
307 | }, | 284 | }, | ||
308 | { | 285 | { | ||
309 | "display_name": "women", | 286 | "display_name": "women", | ||
310 | "id": "d8f22a99-abe8-41cb-ae9c-4b543eee7cdf", | 287 | "id": "d8f22a99-abe8-41cb-ae9c-4b543eee7cdf", | ||
311 | "name": "women", | 288 | "name": "women", | ||
312 | "state": "active", | 289 | "state": "active", | ||
313 | "vocabulary_id": null | 290 | "vocabulary_id": null | ||
314 | }, | 291 | }, | ||
315 | { | 292 | { | ||
316 | "display_name": "youth", | 293 | "display_name": "youth", | ||
317 | "id": "98ff881a-a277-4d3a-9641-7657ad12e6a7", | 294 | "id": "98ff881a-a277-4d3a-9641-7657ad12e6a7", | ||
318 | "name": "youth", | 295 | "name": "youth", | ||
319 | "state": "active", | 296 | "state": "active", | ||
320 | "vocabulary_id": null | 297 | "vocabulary_id": null | ||
321 | } | 298 | } | ||
322 | ], | 299 | ], | ||
323 | "title": "Mozambique: High Resolution Population Density Maps + | 300 | "title": "Mozambique: High Resolution Population Density Maps + | ||
324 | Demographic Estimates", | 301 | Demographic Estimates", | ||
325 | "type": "dataset", | 302 | "type": "dataset", | ||
326 | "url": | 303 | "url": | ||
327 | s://data.humdata.org/dataset/highresolutionpopulationdensitymaps-moz", | 304 | s://data.humdata.org/dataset/highresolutionpopulationdensitymaps-moz", | ||
328 | "version": "" | 305 | "version": "" | ||
329 | } | 306 | } |