ለውጦች
On ሃምሌ 4, 2022, 15:00:05 (SAST),
-
Moved Ghana: High Resolution Population Density Maps + Demographic Estimates 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": "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": "These are backlog datasets that have been | 8 | "description": "These are backlog datasets that have been | ||
9 | sorted.", | 9 | sorted.", | ||
10 | "display_name": "A_Done", | 10 | "display_name": "A_Done", | ||
11 | "id": "f2387f5a-fc82-4af5-a0b4-2047103b15cb", | 11 | "id": "f2387f5a-fc82-4af5-a0b4-2047103b15cb", | ||
12 | "image_display_url": "", | 12 | "image_display_url": "", | ||
13 | "name": "a_done", | 13 | "name": "a_done", | ||
14 | "title": "A_Done" | 14 | "title": "A_Done" | ||
n | n | 15 | }, | ||
16 | { | ||||
17 | "description": "The Humanitarian Data Exchange (HDX) is an open | ||||
18 | platform for sharing data across crises and organisations. Launched in | ||||
19 | July 2014, the goal of HDX is to make humanitarian data easy to find | ||||
20 | and use for analysis. Our growing collection of datasets has been | ||||
21 | accessed by users in over 200 countries and territories.\r\n\r\nHDX is | ||||
22 | managed by OCHA's Centre for Humanitarian Data, which is located in | ||||
23 | The Hague. OCHA is part of the United Nations Secretariat and is | ||||
24 | responsible for bringing together humanitarian actors to ensure a | ||||
25 | coherent response to emergencies. The HDX team includes OCHA staff and | ||||
26 | a number of consultants who are based in North America, Europe and | ||||
27 | Africa.", | ||||
28 | "display_name": "HDX: Humanitarian Data Exchange", | ||||
29 | "id": "15791998-b8b5-41fa-841f-0393addadcbf", | ||||
30 | "image_display_url": | ||||
31 | "https://data.humdata.org/images/homepage/logo-hdx.svg", | ||||
32 | "name": "hdx-humanitarian-data-exchange", | ||||
33 | "title": "HDX: Humanitarian Data Exchange" | ||||
15 | }, | 34 | }, | ||
16 | { | 35 | { | ||
17 | "description": "", | 36 | "description": "", | ||
18 | "display_name": "Population ", | 37 | "display_name": "Population ", | ||
19 | "id": "ad455715-07fc-421f-aef4-780b25b9c67a", | 38 | "id": "ad455715-07fc-421f-aef4-780b25b9c67a", | ||
20 | "image_display_url": "", | 39 | "image_display_url": "", | ||
21 | "name": "population", | 40 | "name": "population", | ||
22 | "title": "Population " | 41 | "title": "Population " | ||
23 | } | 42 | } | ||
24 | ], | 43 | ], | ||
25 | "id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | 44 | "id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | ||
26 | "isopen": true, | 45 | "isopen": true, | ||
27 | "license_id": "cc-by", | 46 | "license_id": "cc-by", | ||
28 | "license_title": "Creative Commons Attribution", | 47 | "license_title": "Creative Commons Attribution", | ||
29 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 48 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
30 | "maintainer": "Heiko Heilgendorff (OCL)", | 49 | "maintainer": "Heiko Heilgendorff (OCL)", | ||
31 | "maintainer_email": "[email protected]", | 50 | "maintainer_email": "[email protected]", | ||
32 | "metadata_created": "2021-06-09T14:01:13.877901", | 51 | "metadata_created": "2021-06-09T14:01:13.877901", | ||
n | 33 | "metadata_modified": "2022-06-15T17:30:22.688466", | n | 52 | "metadata_modified": "2022-07-04T13:00:05.851213", |
34 | "name": | 53 | "name": | ||
35 | "ghana-high-resolution-population-density-maps-demographic-estimates", | 54 | "ghana-high-resolution-population-density-maps-demographic-estimates", | ||
36 | "notes": "VERSION 1.5. The world's most accurate population | 55 | "notes": "VERSION 1.5. The world's most accurate population | ||
37 | datasets. Seven maps/datasets for the distribution of various | 56 | datasets. Seven maps/datasets for the distribution of various | ||
38 | populations in Ghana: (1) Overall population density (2) Women (3) Men | 57 | populations in Ghana: (1) Overall population density (2) Women (3) Men | ||
39 | (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) | 58 | (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) | ||
40 | (7) Women of reproductive age (ages 15-49).\r\n\r\n### | 59 | (7) Women of reproductive age (ages 15-49).\r\n\r\n### | ||
41 | Methodology\r\n\r\nThese high-resolution maps are created using | 60 | Methodology\r\n\r\nThese high-resolution maps are created using | ||
42 | machine learning techniques to identify buildings from commercially | 61 | machine learning techniques to identify buildings from commercially | ||
43 | available satellite images. This is then overlayed with general | 62 | available satellite images. This is then overlayed with general | ||
44 | population estimates based on publicly available census data and other | 63 | population estimates based on publicly available census data and other | ||
45 | population statistics at Columbia University. The resulting maps are | 64 | population statistics at Columbia University. The resulting maps are | ||
46 | the most detailed and actionable tools available for aid and research | 65 | the most detailed and actionable tools available for aid and research | ||
47 | organizations. For more information about the methodology used to | 66 | organizations. For more information about the methodology used to | ||
48 | create our high resolution population density maps and the demographic | 67 | create our high resolution population density maps and the demographic | ||
49 | distributions, click | 68 | distributions, click | ||
50 | resolution-population-density-maps-demographic-estimates/).\r\n\r\nFor | 69 | resolution-population-density-maps-demographic-estimates/).\r\n\r\nFor | ||
51 | information about how to use HDX to access these datasets, please | 70 | information about how to use HDX to access these datasets, please | ||
52 | visit: | 71 | visit: | ||
53 | n-density-maps-demographic-estimates-documentation/\r\n\r\nAdjustments | 72 | n-density-maps-demographic-estimates-documentation/\r\n\r\nAdjustments | ||
54 | to match the census population with the UN estimates are applied at | 73 | to match the census population with the UN estimates are applied at | ||
55 | the national level. The UN estimate for a given country (or | 74 | the national level. The UN estimate for a given country (or | ||
56 | state/territory) is divided by the total census estimate of population | 75 | state/territory) is divided by the total census estimate of population | ||
57 | for the given country. The resulting adjustment factor is multiplied | 76 | for the given country. The resulting adjustment factor is multiplied | ||
58 | by each administrative unit census value for the target year. This | 77 | by each administrative unit census value for the target year. This | ||
59 | preserves the relative population totals across administrative units | 78 | preserves the relative population totals across administrative units | ||
60 | while matching the UN total. More information can be found | 79 | while matching the UN total. More information can be found | ||
61 | ocs/census-information-for-high-resolution-population-density-maps/)", | 80 | ocs/census-information-for-high-resolution-population-density-maps/)", | ||
62 | "num_resources": 14, | 81 | "num_resources": 14, | ||
63 | "num_tags": 10, | 82 | "num_tags": 10, | ||
64 | "organization": { | 83 | "organization": { | ||
65 | "approval_status": "approved", | 84 | "approval_status": "approved", | ||
n | 66 | "created": "2022-06-15T09:44:22.871262", | n | 85 | "created": "2022-07-04T08:06:45.420882", |
67 | "description": "The Humanitarian Data Exchange (HDX) is an open | 86 | "description": "We work to build inclusion and participatory | ||
68 | platform for sharing data across crises and organisations. Launched in | 87 | democracy in cities and urban spaces through empowering citizens, | ||
69 | July 2014, the goal of HDX is to make humanitarian data easy to find | 88 | building trust and accountability in civic space, and capacitating | ||
70 | and use for analysis. Our growing collection of datasets has been | 89 | government. You can find our website | ||
71 | accessed by users in over 200 countries and territories.\r\n\r\nHDX is | 90 | [here](https://opencitieslab.org/).", | ||
72 | managed by OCHA's Centre for Humanitarian Data, which is located in | 91 | "id": "8e526815-d516-4f6c-9ae0-a4d62555c30c", | ||
73 | The Hague. OCHA is part of the United Nations Secretariat and is | ||||
74 | responsible for bringing together humanitarian actors to ensure a | ||||
75 | coherent response to emergencies. The HDX team includes OCHA staff and | ||||
76 | a number of consultants who are based in North America, Europe and | ||||
77 | Africa.", | ||||
78 | "id": "ad11db0c-27d3-433d-bc99-973c2ffae709", | ||||
79 | "image_url": | 92 | "image_url": | ||
n | 80 | "https://data.humdata.org/images/homepage/logo-hdx.svg", | n | 93 | ttps://opencitieslab.org/odd/static/dist/img/ocl_logo_header-nav.png", |
81 | "is_organization": true, | 94 | "is_organization": true, | ||
n | 82 | "name": "hdx-the-humanitarian-data-exchange", | n | 95 | "name": "open-cities-lab", |
83 | "revision_id": "e6c349dd-82c3-4176-a1c7-a4d89d8eae93", | 96 | "revision_id": "35e0d462-e6b8-4c18-8743-e9361e136009", | ||
84 | "state": "active", | 97 | "state": "active", | ||
n | 85 | "title": "HDX - The Humanitarian Data Exchange", | n | 98 | "title": "Open Cities Lab", |
86 | "type": "organization" | 99 | "type": "organization" | ||
87 | }, | 100 | }, | ||
n | 88 | "owner_org": "ad11db0c-27d3-433d-bc99-973c2ffae709", | n | 101 | "owner_org": "8e526815-d516-4f6c-9ae0-a4d62555c30c", |
89 | "private": false, | 102 | "private": false, | ||
90 | "relationships_as_object": [], | 103 | "relationships_as_object": [], | ||
91 | "relationships_as_subject": [], | 104 | "relationships_as_subject": [], | ||
92 | "resources": [ | 105 | "resources": [ | ||
93 | { | 106 | { | ||
94 | "cache_last_updated": null, | 107 | "cache_last_updated": null, | ||
95 | "cache_url": null, | 108 | "cache_url": null, | ||
96 | "created": "2021-06-09T14:01:55.981849", | 109 | "created": "2021-06-09T14:01:55.981849", | ||
97 | "datastore_active": false, | 110 | "datastore_active": false, | ||
98 | "description": "", | 111 | "description": "", | ||
99 | "format": "geotiff", | 112 | "format": "geotiff", | ||
100 | "hash": "", | 113 | "hash": "", | ||
101 | "id": "8b012d5a-fc1e-485b-8a08-eaf3e1ee258d", | 114 | "id": "8b012d5a-fc1e-485b-8a08-eaf3e1ee258d", | ||
102 | "last_modified": null, | 115 | "last_modified": null, | ||
103 | "mimetype": null, | 116 | "mimetype": null, | ||
104 | "mimetype_inner": null, | 117 | "mimetype_inner": null, | ||
105 | "name": "gha_general_2020_geotiff.zip", | 118 | "name": "gha_general_2020_geotiff.zip", | ||
106 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | 119 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | ||
107 | "position": 0, | 120 | "position": 0, | ||
108 | "resource_type": null, | 121 | "resource_type": null, | ||
109 | "revision_id": "036d1d41-a8bf-491a-9dea-55d053f4069b", | 122 | "revision_id": "036d1d41-a8bf-491a-9dea-55d053f4069b", | ||
110 | "size": null, | 123 | "size": null, | ||
111 | "state": "active", | 124 | "state": "active", | ||
112 | "url": | 125 | "url": | ||
113 | c8-8cdd-4e61-b95a-125e2fde605c/download/gha_general_2020_geotiff.zip", | 126 | c8-8cdd-4e61-b95a-125e2fde605c/download/gha_general_2020_geotiff.zip", | ||
114 | "url_type": null | 127 | "url_type": null | ||
115 | }, | 128 | }, | ||
116 | { | 129 | { | ||
117 | "cache_last_updated": null, | 130 | "cache_last_updated": null, | ||
118 | "cache_url": null, | 131 | "cache_url": null, | ||
119 | "created": "2021-06-09T14:02:13.426427", | 132 | "created": "2021-06-09T14:02:13.426427", | ||
120 | "datastore_active": false, | 133 | "datastore_active": false, | ||
121 | "description": "", | 134 | "description": "", | ||
122 | "format": "CSV", | 135 | "format": "CSV", | ||
123 | "hash": "", | 136 | "hash": "", | ||
124 | "id": "39a90b35-5aaa-4704-a7b4-a6ba67abe5ef", | 137 | "id": "39a90b35-5aaa-4704-a7b4-a6ba67abe5ef", | ||
125 | "last_modified": null, | 138 | "last_modified": null, | ||
126 | "mimetype": null, | 139 | "mimetype": null, | ||
127 | "mimetype_inner": null, | 140 | "mimetype_inner": null, | ||
128 | "name": "gha_general_2020_csv.zip", | 141 | "name": "gha_general_2020_csv.zip", | ||
129 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | 142 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | ||
130 | "position": 1, | 143 | "position": 1, | ||
131 | "resource_type": null, | 144 | "resource_type": null, | ||
132 | "revision_id": "567613c6-24eb-4288-bb7d-189e198aa250", | 145 | "revision_id": "567613c6-24eb-4288-bb7d-189e198aa250", | ||
133 | "size": null, | 146 | "size": null, | ||
134 | "state": "active", | 147 | "state": "active", | ||
135 | "url": | 148 | "url": | ||
136 | 60c9e7-847d-4b2b-99c5-6575a7ae88aa/download/gha_general_2020_csv.zip", | 149 | 60c9e7-847d-4b2b-99c5-6575a7ae88aa/download/gha_general_2020_csv.zip", | ||
137 | "url_type": null | 150 | "url_type": null | ||
138 | }, | 151 | }, | ||
139 | { | 152 | { | ||
140 | "cache_last_updated": null, | 153 | "cache_last_updated": null, | ||
141 | "cache_url": null, | 154 | "cache_url": null, | ||
142 | "created": "2021-06-09T14:02:30.621361", | 155 | "created": "2021-06-09T14:02:30.621361", | ||
143 | "datastore_active": false, | 156 | "datastore_active": false, | ||
144 | "description": "", | 157 | "description": "", | ||
145 | "format": "CSV", | 158 | "format": "CSV", | ||
146 | "hash": "", | 159 | "hash": "", | ||
147 | "id": "131ad331-a347-4207-b099-3afff85965c3", | 160 | "id": "131ad331-a347-4207-b099-3afff85965c3", | ||
148 | "last_modified": null, | 161 | "last_modified": null, | ||
149 | "mimetype": null, | 162 | "mimetype": null, | ||
150 | "mimetype_inner": null, | 163 | "mimetype_inner": null, | ||
151 | "name": "gha_children_under_five_2020_csv.zip", | 164 | "name": "gha_children_under_five_2020_csv.zip", | ||
152 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | 165 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | ||
153 | "position": 2, | 166 | "position": 2, | ||
154 | "resource_type": null, | 167 | "resource_type": null, | ||
155 | "revision_id": "30b7d3f5-fc63-4f12-82a6-27d30f134328", | 168 | "revision_id": "30b7d3f5-fc63-4f12-82a6-27d30f134328", | ||
156 | "size": null, | 169 | "size": null, | ||
157 | "state": "active", | 170 | "state": "active", | ||
158 | "url": | 171 | "url": | ||
159 | 4961-9907-32668c37536d/download/gha_children_under_five_2020_csv.zip", | 172 | 4961-9907-32668c37536d/download/gha_children_under_five_2020_csv.zip", | ||
160 | "url_type": null | 173 | "url_type": null | ||
161 | }, | 174 | }, | ||
162 | { | 175 | { | ||
163 | "cache_last_updated": null, | 176 | "cache_last_updated": null, | ||
164 | "cache_url": null, | 177 | "cache_url": null, | ||
165 | "created": "2021-06-09T14:02:55.471932", | 178 | "created": "2021-06-09T14:02:55.471932", | ||
166 | "datastore_active": false, | 179 | "datastore_active": false, | ||
167 | "description": "", | 180 | "description": "", | ||
168 | "format": "geotiff", | 181 | "format": "geotiff", | ||
169 | "hash": "", | 182 | "hash": "", | ||
170 | "id": "625e43fe-fcd4-4d10-8dc6-0ecb9adf165e", | 183 | "id": "625e43fe-fcd4-4d10-8dc6-0ecb9adf165e", | ||
171 | "last_modified": null, | 184 | "last_modified": null, | ||
172 | "mimetype": null, | 185 | "mimetype": null, | ||
173 | "mimetype_inner": null, | 186 | "mimetype_inner": null, | ||
174 | "name": "gha_children_under_five_2020_geotiff.zip", | 187 | "name": "gha_children_under_five_2020_geotiff.zip", | ||
175 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | 188 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | ||
176 | "position": 3, | 189 | "position": 3, | ||
177 | "resource_type": null, | 190 | "resource_type": null, | ||
178 | "revision_id": "4edbccf6-adb4-4fec-8b0c-7e0e4faf03ab", | 191 | "revision_id": "4edbccf6-adb4-4fec-8b0c-7e0e4faf03ab", | ||
179 | "size": null, | 192 | "size": null, | ||
180 | "state": "active", | 193 | "state": "active", | ||
181 | "url": | 194 | "url": | ||
182 | -9eb5-84bf9e2e35d8/download/gha_children_under_five_2020_geotiff.zip", | 195 | -9eb5-84bf9e2e35d8/download/gha_children_under_five_2020_geotiff.zip", | ||
183 | "url_type": null | 196 | "url_type": null | ||
184 | }, | 197 | }, | ||
185 | { | 198 | { | ||
186 | "cache_last_updated": null, | 199 | "cache_last_updated": null, | ||
187 | "cache_url": null, | 200 | "cache_url": null, | ||
188 | "created": "2021-06-09T14:03:32.525187", | 201 | "created": "2021-06-09T14:03:32.525187", | ||
189 | "datastore_active": false, | 202 | "datastore_active": false, | ||
190 | "description": "", | 203 | "description": "", | ||
191 | "format": "CSV", | 204 | "format": "CSV", | ||
192 | "hash": "", | 205 | "hash": "", | ||
193 | "id": "9101d546-bd05-4744-9f49-62439cb12e5e", | 206 | "id": "9101d546-bd05-4744-9f49-62439cb12e5e", | ||
194 | "last_modified": null, | 207 | "last_modified": null, | ||
195 | "mimetype": null, | 208 | "mimetype": null, | ||
196 | "mimetype_inner": null, | 209 | "mimetype_inner": null, | ||
197 | "name": "gha_elderly_60_plus_2020_csv.zip", | 210 | "name": "gha_elderly_60_plus_2020_csv.zip", | ||
198 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | 211 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | ||
199 | "position": 4, | 212 | "position": 4, | ||
200 | "resource_type": null, | 213 | "resource_type": null, | ||
201 | "revision_id": "2c09ba5c-0488-4829-b89a-cda18f323957", | 214 | "revision_id": "2c09ba5c-0488-4829-b89a-cda18f323957", | ||
202 | "size": null, | 215 | "size": null, | ||
203 | "state": "active", | 216 | "state": "active", | ||
204 | "url": | 217 | "url": | ||
205 | 44e-41e5-8b93-fb20184c4f2f/download/gha_elderly_60_plus_2020_csv.zip", | 218 | 44e-41e5-8b93-fb20184c4f2f/download/gha_elderly_60_plus_2020_csv.zip", | ||
206 | "url_type": null | 219 | "url_type": null | ||
207 | }, | 220 | }, | ||
208 | { | 221 | { | ||
209 | "cache_last_updated": null, | 222 | "cache_last_updated": null, | ||
210 | "cache_url": null, | 223 | "cache_url": null, | ||
211 | "created": "2021-06-09T14:04:05.456922", | 224 | "created": "2021-06-09T14:04:05.456922", | ||
212 | "datastore_active": false, | 225 | "datastore_active": false, | ||
213 | "description": "", | 226 | "description": "", | ||
214 | "format": "geotiff", | 227 | "format": "geotiff", | ||
215 | "hash": "", | 228 | "hash": "", | ||
216 | "id": "0b2d26b1-8548-4a49-befb-79416b59ade2", | 229 | "id": "0b2d26b1-8548-4a49-befb-79416b59ade2", | ||
217 | "last_modified": null, | 230 | "last_modified": null, | ||
218 | "mimetype": null, | 231 | "mimetype": null, | ||
219 | "mimetype_inner": null, | 232 | "mimetype_inner": null, | ||
220 | "name": "gha_elderly_60_plus_2020_geotiff.zip", | 233 | "name": "gha_elderly_60_plus_2020_geotiff.zip", | ||
221 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | 234 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | ||
222 | "position": 5, | 235 | "position": 5, | ||
223 | "resource_type": null, | 236 | "resource_type": null, | ||
224 | "revision_id": "2c09ba5c-0488-4829-b89a-cda18f323957", | 237 | "revision_id": "2c09ba5c-0488-4829-b89a-cda18f323957", | ||
225 | "size": null, | 238 | "size": null, | ||
226 | "state": "active", | 239 | "state": "active", | ||
227 | "url": | 240 | "url": | ||
228 | 4114-8a58-1b3e0aec31dc/download/gha_elderly_60_plus_2020_geotiff.zip", | 241 | 4114-8a58-1b3e0aec31dc/download/gha_elderly_60_plus_2020_geotiff.zip", | ||
229 | "url_type": null | 242 | "url_type": null | ||
230 | }, | 243 | }, | ||
231 | { | 244 | { | ||
232 | "cache_last_updated": null, | 245 | "cache_last_updated": null, | ||
233 | "cache_url": null, | 246 | "cache_url": null, | ||
234 | "created": "2021-06-09T14:04:30.573189", | 247 | "created": "2021-06-09T14:04:30.573189", | ||
235 | "datastore_active": false, | 248 | "datastore_active": false, | ||
236 | "description": "", | 249 | "description": "", | ||
237 | "format": "CSV", | 250 | "format": "CSV", | ||
238 | "hash": "", | 251 | "hash": "", | ||
239 | "id": "b27955c6-09ef-4d4f-880c-a7b4e11cb67a", | 252 | "id": "b27955c6-09ef-4d4f-880c-a7b4e11cb67a", | ||
240 | "last_modified": null, | 253 | "last_modified": null, | ||
241 | "mimetype": null, | 254 | "mimetype": null, | ||
242 | "mimetype_inner": null, | 255 | "mimetype_inner": null, | ||
243 | "name": "gha_men_2020_csv.zip", | 256 | "name": "gha_men_2020_csv.zip", | ||
244 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | 257 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | ||
245 | "position": 6, | 258 | "position": 6, | ||
246 | "resource_type": null, | 259 | "resource_type": null, | ||
247 | "revision_id": "2c09ba5c-0488-4829-b89a-cda18f323957", | 260 | "revision_id": "2c09ba5c-0488-4829-b89a-cda18f323957", | ||
248 | "size": null, | 261 | "size": null, | ||
249 | "state": "active", | 262 | "state": "active", | ||
250 | "url": | 263 | "url": | ||
251 | e/f1e8c84c-6268-4f3f-8262-eb17e79acf7b/download/gha_men_2020_csv.zip", | 264 | e/f1e8c84c-6268-4f3f-8262-eb17e79acf7b/download/gha_men_2020_csv.zip", | ||
252 | "url_type": null | 265 | "url_type": null | ||
253 | }, | 266 | }, | ||
254 | { | 267 | { | ||
255 | "cache_last_updated": null, | 268 | "cache_last_updated": null, | ||
256 | "cache_url": null, | 269 | "cache_url": null, | ||
257 | "created": "2021-06-09T14:05:05.412596", | 270 | "created": "2021-06-09T14:05:05.412596", | ||
258 | "datastore_active": false, | 271 | "datastore_active": false, | ||
259 | "description": "", | 272 | "description": "", | ||
260 | "format": "geotiff", | 273 | "format": "geotiff", | ||
261 | "hash": "", | 274 | "hash": "", | ||
262 | "id": "053a97cc-d08b-48f4-9635-10cfc9862595", | 275 | "id": "053a97cc-d08b-48f4-9635-10cfc9862595", | ||
263 | "last_modified": null, | 276 | "last_modified": null, | ||
264 | "mimetype": null, | 277 | "mimetype": null, | ||
265 | "mimetype_inner": null, | 278 | "mimetype_inner": null, | ||
266 | "name": "gha_men_2020_geotiff.zip", | 279 | "name": "gha_men_2020_geotiff.zip", | ||
267 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | 280 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | ||
268 | "position": 7, | 281 | "position": 7, | ||
269 | "resource_type": null, | 282 | "resource_type": null, | ||
270 | "revision_id": "2c09ba5c-0488-4829-b89a-cda18f323957", | 283 | "revision_id": "2c09ba5c-0488-4829-b89a-cda18f323957", | ||
271 | "size": null, | 284 | "size": null, | ||
272 | "state": "active", | 285 | "state": "active", | ||
273 | "url": | 286 | "url": | ||
274 | 128c82-3765-4e5b-9b66-8655b56b467a/download/gha_men_2020_geotiff.zip", | 287 | 128c82-3765-4e5b-9b66-8655b56b467a/download/gha_men_2020_geotiff.zip", | ||
275 | "url_type": null | 288 | "url_type": null | ||
276 | }, | 289 | }, | ||
277 | { | 290 | { | ||
278 | "cache_last_updated": null, | 291 | "cache_last_updated": null, | ||
279 | "cache_url": null, | 292 | "cache_url": null, | ||
280 | "created": "2021-06-09T14:05:36.247064", | 293 | "created": "2021-06-09T14:05:36.247064", | ||
281 | "datastore_active": false, | 294 | "datastore_active": false, | ||
282 | "description": "", | 295 | "description": "", | ||
283 | "format": "CSV", | 296 | "format": "CSV", | ||
284 | "hash": "", | 297 | "hash": "", | ||
285 | "id": "9da1f381-ed86-4e7a-b510-3ce951dc3e18", | 298 | "id": "9da1f381-ed86-4e7a-b510-3ce951dc3e18", | ||
286 | "last_modified": null, | 299 | "last_modified": null, | ||
287 | "mimetype": null, | 300 | "mimetype": null, | ||
288 | "mimetype_inner": null, | 301 | "mimetype_inner": null, | ||
289 | "name": "gha_women_of_reproductive_age_15_49_2020_csv.zip", | 302 | "name": "gha_women_of_reproductive_age_15_49_2020_csv.zip", | ||
290 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | 303 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | ||
291 | "position": 8, | 304 | "position": 8, | ||
292 | "resource_type": null, | 305 | "resource_type": null, | ||
293 | "revision_id": "2c09ba5c-0488-4829-b89a-cda18f323957", | 306 | "revision_id": "2c09ba5c-0488-4829-b89a-cda18f323957", | ||
294 | "size": null, | 307 | "size": null, | ||
295 | "state": "active", | 308 | "state": "active", | ||
296 | "url": | 309 | "url": | ||
297 | 7eb58bed44/download/gha_women_of_reproductive_age_15_49_2020_csv.zip", | 310 | 7eb58bed44/download/gha_women_of_reproductive_age_15_49_2020_csv.zip", | ||
298 | "url_type": null | 311 | "url_type": null | ||
299 | }, | 312 | }, | ||
300 | { | 313 | { | ||
301 | "cache_last_updated": null, | 314 | "cache_last_updated": null, | ||
302 | "cache_url": null, | 315 | "cache_url": null, | ||
303 | "created": "2021-06-09T14:05:55.346507", | 316 | "created": "2021-06-09T14:05:55.346507", | ||
304 | "datastore_active": false, | 317 | "datastore_active": false, | ||
305 | "description": "", | 318 | "description": "", | ||
306 | "format": "geotiff", | 319 | "format": "geotiff", | ||
307 | "hash": "", | 320 | "hash": "", | ||
308 | "id": "13612739-2b4f-4b4b-9a57-52c905e35cfa", | 321 | "id": "13612739-2b4f-4b4b-9a57-52c905e35cfa", | ||
309 | "last_modified": null, | 322 | "last_modified": null, | ||
310 | "mimetype": null, | 323 | "mimetype": null, | ||
311 | "mimetype_inner": null, | 324 | "mimetype_inner": null, | ||
312 | "name": "gha_women_of_reproductive_age_15_49_2020_geotiff.zip", | 325 | "name": "gha_women_of_reproductive_age_15_49_2020_geotiff.zip", | ||
313 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | 326 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | ||
314 | "position": 9, | 327 | "position": 9, | ||
315 | "resource_type": null, | 328 | "resource_type": null, | ||
316 | "revision_id": "2c09ba5c-0488-4829-b89a-cda18f323957", | 329 | "revision_id": "2c09ba5c-0488-4829-b89a-cda18f323957", | ||
317 | "size": null, | 330 | "size": null, | ||
318 | "state": "active", | 331 | "state": "active", | ||
319 | "url": | 332 | "url": | ||
320 | 4ca89a/download/gha_women_of_reproductive_age_15_49_2020_geotiff.zip", | 333 | 4ca89a/download/gha_women_of_reproductive_age_15_49_2020_geotiff.zip", | ||
321 | "url_type": null | 334 | "url_type": null | ||
322 | }, | 335 | }, | ||
323 | { | 336 | { | ||
324 | "cache_last_updated": null, | 337 | "cache_last_updated": null, | ||
325 | "cache_url": null, | 338 | "cache_url": null, | ||
326 | "created": "2021-06-09T14:06:12.681393", | 339 | "created": "2021-06-09T14:06:12.681393", | ||
327 | "datastore_active": false, | 340 | "datastore_active": false, | ||
328 | "description": "", | 341 | "description": "", | ||
329 | "format": "CSV", | 342 | "format": "CSV", | ||
330 | "hash": "", | 343 | "hash": "", | ||
331 | "id": "49607a11-4d3d-4f97-9d9a-4b31cdad8a2a", | 344 | "id": "49607a11-4d3d-4f97-9d9a-4b31cdad8a2a", | ||
332 | "last_modified": null, | 345 | "last_modified": null, | ||
333 | "mimetype": null, | 346 | "mimetype": null, | ||
334 | "mimetype_inner": null, | 347 | "mimetype_inner": null, | ||
335 | "name": "gha_youth_15_24_2020_csv.zip", | 348 | "name": "gha_youth_15_24_2020_csv.zip", | ||
336 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | 349 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | ||
337 | "position": 10, | 350 | "position": 10, | ||
338 | "resource_type": null, | 351 | "resource_type": null, | ||
339 | "revision_id": "2c09ba5c-0488-4829-b89a-cda18f323957", | 352 | "revision_id": "2c09ba5c-0488-4829-b89a-cda18f323957", | ||
340 | "size": null, | 353 | "size": null, | ||
341 | "state": "active", | 354 | "state": "active", | ||
342 | "url": | 355 | "url": | ||
343 | a7-9573-48e1-8d5b-db3cebe865bb/download/gha_youth_15_24_2020_csv.zip", | 356 | a7-9573-48e1-8d5b-db3cebe865bb/download/gha_youth_15_24_2020_csv.zip", | ||
344 | "url_type": null | 357 | "url_type": null | ||
345 | }, | 358 | }, | ||
346 | { | 359 | { | ||
347 | "cache_last_updated": null, | 360 | "cache_last_updated": null, | ||
348 | "cache_url": null, | 361 | "cache_url": null, | ||
349 | "created": "2021-06-09T14:06:28.907192", | 362 | "created": "2021-06-09T14:06:28.907192", | ||
350 | "datastore_active": false, | 363 | "datastore_active": false, | ||
351 | "description": "", | 364 | "description": "", | ||
352 | "format": "geotiff", | 365 | "format": "geotiff", | ||
353 | "hash": "", | 366 | "hash": "", | ||
354 | "id": "5f025802-4de4-427b-aa98-1c0e30876733", | 367 | "id": "5f025802-4de4-427b-aa98-1c0e30876733", | ||
355 | "last_modified": null, | 368 | "last_modified": null, | ||
356 | "mimetype": null, | 369 | "mimetype": null, | ||
357 | "mimetype_inner": null, | 370 | "mimetype_inner": null, | ||
358 | "name": "gha_youth_15_24_2020_geotiff.zip", | 371 | "name": "gha_youth_15_24_2020_geotiff.zip", | ||
359 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | 372 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | ||
360 | "position": 11, | 373 | "position": 11, | ||
361 | "resource_type": null, | 374 | "resource_type": null, | ||
362 | "revision_id": "2c09ba5c-0488-4829-b89a-cda18f323957", | 375 | "revision_id": "2c09ba5c-0488-4829-b89a-cda18f323957", | ||
363 | "size": null, | 376 | "size": null, | ||
364 | "state": "active", | 377 | "state": "active", | ||
365 | "url": | 378 | "url": | ||
366 | 6d8-48f1-b0da-845b3b1d0e97/download/gha_youth_15_24_2020_geotiff.zip", | 379 | 6d8-48f1-b0da-845b3b1d0e97/download/gha_youth_15_24_2020_geotiff.zip", | ||
367 | "url_type": null | 380 | "url_type": null | ||
368 | }, | 381 | }, | ||
369 | { | 382 | { | ||
370 | "cache_last_updated": null, | 383 | "cache_last_updated": null, | ||
371 | "cache_url": null, | 384 | "cache_url": null, | ||
372 | "created": "2021-06-09T14:07:06.204887", | 385 | "created": "2021-06-09T14:07:06.204887", | ||
373 | "datastore_active": false, | 386 | "datastore_active": false, | ||
374 | "description": "This file has information about the cloud cover | 387 | "description": "This file has information about the cloud cover | ||
375 | percentage and capture data of the satellite images used", | 388 | percentage and capture data of the satellite images used", | ||
376 | "format": "JSON", | 389 | "format": "JSON", | ||
377 | "hash": "", | 390 | "hash": "", | ||
378 | "id": "7b091193-082a-480f-8b8c-26bff687649a", | 391 | "id": "7b091193-082a-480f-8b8c-26bff687649a", | ||
379 | "last_modified": null, | 392 | "last_modified": null, | ||
380 | "mimetype": null, | 393 | "mimetype": null, | ||
381 | "mimetype_inner": null, | 394 | "mimetype_inner": null, | ||
382 | "name": "gha_dg_metadata.json.zip", | 395 | "name": "gha_dg_metadata.json.zip", | ||
383 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | 396 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | ||
384 | "position": 12, | 397 | "position": 12, | ||
385 | "resource_type": null, | 398 | "resource_type": null, | ||
386 | "revision_id": "2c09ba5c-0488-4829-b89a-cda18f323957", | 399 | "revision_id": "2c09ba5c-0488-4829-b89a-cda18f323957", | ||
387 | "size": null, | 400 | "size": null, | ||
388 | "state": "active", | 401 | "state": "active", | ||
389 | "url": | 402 | "url": | ||
390 | 7ab973-42d7-4716-a4ce-69ea88eccf45/download/gha_dg_metadata.json.zip", | 403 | 7ab973-42d7-4716-a4ce-69ea88eccf45/download/gha_dg_metadata.json.zip", | ||
391 | "url_type": null | 404 | "url_type": null | ||
392 | }, | 405 | }, | ||
393 | { | 406 | { | ||
394 | "cache_last_updated": null, | 407 | "cache_last_updated": null, | ||
395 | "cache_url": null, | 408 | "cache_url": null, | ||
396 | "created": "2022-06-15T17:26:41.570810", | 409 | "created": "2022-06-15T17:26:41.570810", | ||
397 | "datastore_active": false, | 410 | "datastore_active": false, | ||
398 | "description": "VERSION 1.5. The world's most accurate | 411 | "description": "VERSION 1.5. The world's most accurate | ||
399 | population datasets. Seven maps/datasets for the distribution of | 412 | population datasets. Seven maps/datasets for the distribution of | ||
400 | various populations in Nigeria: (1) Overall population density (2) | 413 | various populations in Nigeria: (1) Overall population density (2) | ||
401 | Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) | 414 | Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) | ||
402 | Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).", | 415 | Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).", | ||
403 | "format": "", | 416 | "format": "", | ||
404 | "hash": "", | 417 | "hash": "", | ||
405 | "id": "61a01f7e-33ac-453e-bd71-691754879824", | 418 | "id": "61a01f7e-33ac-453e-bd71-691754879824", | ||
406 | "last_modified": null, | 419 | "last_modified": null, | ||
407 | "mimetype": null, | 420 | "mimetype": null, | ||
408 | "mimetype_inner": null, | 421 | "mimetype_inner": null, | ||
409 | "name": "Ghana: high resolution population density maps", | 422 | "name": "Ghana: high resolution population density maps", | ||
410 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | 423 | "package_id": "2cf5970c-47cf-435c-88b6-f938d67041e0", | ||
411 | "position": 13, | 424 | "position": 13, | ||
412 | "resource_type": null, | 425 | "resource_type": null, | ||
413 | "revision_id": "5ce18c0e-4cef-43bb-9774-28fd2c09be60", | 426 | "revision_id": "5ce18c0e-4cef-43bb-9774-28fd2c09be60", | ||
414 | "size": null, | 427 | "size": null, | ||
415 | "state": "active", | 428 | "state": "active", | ||
416 | "url": | 429 | "url": | ||
417 | s://data.humdata.org/dataset/highresolutionpopulationdensitymaps-gha", | 430 | s://data.humdata.org/dataset/highresolutionpopulationdensitymaps-gha", | ||
418 | "url_type": null | 431 | "url_type": null | ||
419 | } | 432 | } | ||
420 | ], | 433 | ], | ||
t | 421 | "revision_id": "1bc87301-e8a4-46e8-8fa2-5cdaa5c8a090", | t | 434 | "revision_id": "4d9d9aee-4624-4b51-baf1-469ce08c95eb", |
422 | "state": "active", | 435 | "state": "active", | ||
423 | "tags": [ | 436 | "tags": [ | ||
424 | { | 437 | { | ||
425 | "display_name": "children", | 438 | "display_name": "children", | ||
426 | "id": "a31aa94e-cdbe-470b-b953-602bfc01eeab", | 439 | "id": "a31aa94e-cdbe-470b-b953-602bfc01eeab", | ||
427 | "name": "children", | 440 | "name": "children", | ||
428 | "state": "active", | 441 | "state": "active", | ||
429 | "vocabulary_id": null | 442 | "vocabulary_id": null | ||
430 | }, | 443 | }, | ||
431 | { | 444 | { | ||
432 | "display_name": "demographic", | 445 | "display_name": "demographic", | ||
433 | "id": "b38c78bf-f4fb-459c-b8ff-9c41e3f4f9ae", | 446 | "id": "b38c78bf-f4fb-459c-b8ff-9c41e3f4f9ae", | ||
434 | "name": "demographic", | 447 | "name": "demographic", | ||
435 | "state": "active", | 448 | "state": "active", | ||
436 | "vocabulary_id": null | 449 | "vocabulary_id": null | ||
437 | }, | 450 | }, | ||
438 | { | 451 | { | ||
439 | "display_name": "elderly", | 452 | "display_name": "elderly", | ||
440 | "id": "9c11b077-a76b-4a95-b6ee-afb6c112f48c", | 453 | "id": "9c11b077-a76b-4a95-b6ee-afb6c112f48c", | ||
441 | "name": "elderly", | 454 | "name": "elderly", | ||
442 | "state": "active", | 455 | "state": "active", | ||
443 | "vocabulary_id": null | 456 | "vocabulary_id": null | ||
444 | }, | 457 | }, | ||
445 | { | 458 | { | ||
446 | "display_name": "geodata", | 459 | "display_name": "geodata", | ||
447 | "id": "7801f2cc-853c-4190-b21a-641a82b8d1f1", | 460 | "id": "7801f2cc-853c-4190-b21a-641a82b8d1f1", | ||
448 | "name": "geodata", | 461 | "name": "geodata", | ||
449 | "state": "active", | 462 | "state": "active", | ||
450 | "vocabulary_id": null | 463 | "vocabulary_id": null | ||
451 | }, | 464 | }, | ||
452 | { | 465 | { | ||
453 | "display_name": "ghana", | 466 | "display_name": "ghana", | ||
454 | "id": "47eec602-5e10-4083-b862-ac1f0b74aaf4", | 467 | "id": "47eec602-5e10-4083-b862-ac1f0b74aaf4", | ||
455 | "name": "ghana", | 468 | "name": "ghana", | ||
456 | "state": "active", | 469 | "state": "active", | ||
457 | "vocabulary_id": null | 470 | "vocabulary_id": null | ||
458 | }, | 471 | }, | ||
459 | { | 472 | { | ||
460 | "display_name": "men", | 473 | "display_name": "men", | ||
461 | "id": "887bf1dd-dcf9-42ab-9e75-7ee55de689a2", | 474 | "id": "887bf1dd-dcf9-42ab-9e75-7ee55de689a2", | ||
462 | "name": "men", | 475 | "name": "men", | ||
463 | "state": "active", | 476 | "state": "active", | ||
464 | "vocabulary_id": null | 477 | "vocabulary_id": null | ||
465 | }, | 478 | }, | ||
466 | { | 479 | { | ||
467 | "display_name": "population density", | 480 | "display_name": "population density", | ||
468 | "id": "98311ff5-1cea-4f34-92fb-c0757c6ce5ca", | 481 | "id": "98311ff5-1cea-4f34-92fb-c0757c6ce5ca", | ||
469 | "name": "population density", | 482 | "name": "population density", | ||
470 | "state": "active", | 483 | "state": "active", | ||
471 | "vocabulary_id": null | 484 | "vocabulary_id": null | ||
472 | }, | 485 | }, | ||
473 | { | 486 | { | ||
474 | "display_name": "reproductive", | 487 | "display_name": "reproductive", | ||
475 | "id": "6fb38736-99e6-40c9-b3b3-da34da5e6cf5", | 488 | "id": "6fb38736-99e6-40c9-b3b3-da34da5e6cf5", | ||
476 | "name": "reproductive", | 489 | "name": "reproductive", | ||
477 | "state": "active", | 490 | "state": "active", | ||
478 | "vocabulary_id": null | 491 | "vocabulary_id": null | ||
479 | }, | 492 | }, | ||
480 | { | 493 | { | ||
481 | "display_name": "women", | 494 | "display_name": "women", | ||
482 | "id": "d8f22a99-abe8-41cb-ae9c-4b543eee7cdf", | 495 | "id": "d8f22a99-abe8-41cb-ae9c-4b543eee7cdf", | ||
483 | "name": "women", | 496 | "name": "women", | ||
484 | "state": "active", | 497 | "state": "active", | ||
485 | "vocabulary_id": null | 498 | "vocabulary_id": null | ||
486 | }, | 499 | }, | ||
487 | { | 500 | { | ||
488 | "display_name": "youth", | 501 | "display_name": "youth", | ||
489 | "id": "98ff881a-a277-4d3a-9641-7657ad12e6a7", | 502 | "id": "98ff881a-a277-4d3a-9641-7657ad12e6a7", | ||
490 | "name": "youth", | 503 | "name": "youth", | ||
491 | "state": "active", | 504 | "state": "active", | ||
492 | "vocabulary_id": null | 505 | "vocabulary_id": null | ||
493 | } | 506 | } | ||
494 | ], | 507 | ], | ||
495 | "title": "Ghana: High Resolution Population Density Maps + | 508 | "title": "Ghana: High Resolution Population Density Maps + | ||
496 | Demographic Estimates", | 509 | Demographic Estimates", | ||
497 | "type": "dataset", | 510 | "type": "dataset", | ||
498 | "url": | 511 | "url": | ||
499 | s://data.humdata.org/dataset/highresolutionpopulationdensitymaps-gha", | 512 | s://data.humdata.org/dataset/highresolutionpopulationdensitymaps-gha", | ||
500 | "version": "" | 513 | "version": "" | ||
501 | } | 514 | } |