Changes
On 28 June 2023 at 7:31:15 am UTC, ckan_admin:
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f | 1 | { | f | 1 | { |
2 | "author": "", | 2 | "author": "", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
4 | "creator_user_id": "ad823657-25d6-44fa-84f9-59872bdc984c", | 4 | "creator_user_id": "ad823657-25d6-44fa-84f9-59872bdc984c", | ||
5 | "extras": [ | 5 | "extras": [ | ||
6 | { | 6 | { | ||
7 | "key": "ADP ID", | 7 | "key": "ADP ID", | ||
8 | "value": | 8 | "value": | ||
9 | source-TUA_PHIDU-UoM_AURIN_DB_1:phidu_birthplace_top_ten_nes_lga_2016" | 9 | source-TUA_PHIDU-UoM_AURIN_DB_1:phidu_birthplace_top_ten_nes_lga_2016" | ||
10 | }, | 10 | }, | ||
11 | { | 11 | { | ||
12 | "key": "Access Level", | 12 | "key": "Access Level", | ||
13 | "value": "Open Access" | 13 | "value": "Open Access" | ||
14 | }, | 14 | }, | ||
15 | { | 15 | { | ||
16 | "key": "Aggregation Level", | 16 | "key": "Aggregation Level", | ||
17 | "value": "lga2016" | 17 | "value": "lga2016" | ||
18 | }, | 18 | }, | ||
19 | { | 19 | { | ||
20 | "key": "Attribute List", | 20 | "key": "Attribute List", | ||
21 | "value": ", Country Of Origin - China (Excluding Special | 21 | "value": ", Country Of Origin - China (Excluding Special | ||
22 | Administrative Regions Of Hong Kong & Macau, And Taiwan) 2016 Urp % | 22 | Administrative Regions Of Hong Kong & Macau, And Taiwan) 2016 Urp % | ||
23 | Population Born In China, Country Of Origin - China (Excluding Special | 23 | Population Born In China, Country Of Origin - China (Excluding Special | ||
24 | Administrative Regions Of Hong Kong & Macau, And Taiwan) 2016 Urp | 24 | Administrative Regions Of Hong Kong & Macau, And Taiwan) 2016 Urp | ||
25 | People Born In China, Country Of Origin - China (Excluding Special | 25 | People Born In China, Country Of Origin - China (Excluding Special | ||
26 | Administrative Regions Of Hong Kong & Macau, And Taiwan) 2016 Urp | 26 | Administrative Regions Of Hong Kong & Macau, And Taiwan) 2016 Urp | ||
27 | Total Population, Country Of Origin - Germany 2016 Urp % Population | 27 | Total Population, Country Of Origin - Germany 2016 Urp % Population | ||
28 | Born In Germany, Country Of Origin - Germany 2016 Urp People Born In | 28 | Born In Germany, Country Of Origin - Germany 2016 Urp People Born In | ||
29 | Germany, Country Of Origin - Germany 2016 Urp Total Population, | 29 | Germany, Country Of Origin - Germany 2016 Urp Total Population, | ||
30 | Country Of Origin - Greece 2016 Urp % Population Born In Greece, | 30 | Country Of Origin - Greece 2016 Urp % Population Born In Greece, | ||
31 | Country Of Origin - Greece 2016 Urp People Born In Greece, Country Of | 31 | Country Of Origin - Greece 2016 Urp People Born In Greece, Country Of | ||
32 | Origin - Greece 2016 Urp Total Population, Country Of Origin - India | 32 | Origin - Greece 2016 Urp Total Population, Country Of Origin - India | ||
33 | 2016 Urp % Population Born In India, Country Of Origin - India 2016 | 33 | 2016 Urp % Population Born In India, Country Of Origin - India 2016 | ||
34 | Urp People Born In India, Country Of Origin - India 2016 Urp Total | 34 | Urp People Born In India, Country Of Origin - India 2016 Urp Total | ||
35 | Population, Country Of Origin - Italy 2016 Urp % Population Born In | 35 | Population, Country Of Origin - Italy 2016 Urp % Population Born In | ||
36 | Italy, Country Of Origin - Italy 2016 Urp People Born In Italy, | 36 | Italy, Country Of Origin - Italy 2016 Urp People Born In Italy, | ||
37 | Country Of Origin - Italy 2016 Urp Total Population, Country Of Origin | 37 | Country Of Origin - Italy 2016 Urp Total Population, Country Of Origin | ||
38 | - Malaysia 2016 Urp % Population Born In Malaysia, Country Of Origin - | 38 | - Malaysia 2016 Urp % Population Born In Malaysia, Country Of Origin - | ||
39 | Malaysia 2016 Urp People Born In Malaysia, Country Of Origin - | 39 | Malaysia 2016 Urp People Born In Malaysia, Country Of Origin - | ||
40 | Malaysia 2016 Urp Total Population, Country Of Origin - Philippines | 40 | Malaysia 2016 Urp Total Population, Country Of Origin - Philippines | ||
41 | 2016 Urp % Population Born In The Philippines, Country Of Origin - | 41 | 2016 Urp % Population Born In The Philippines, Country Of Origin - | ||
42 | Philippines 2016 Urp People Born In The Philippines, Country Of Origin | 42 | Philippines 2016 Urp People Born In The Philippines, Country Of Origin | ||
43 | - Philippines 2016 Urp Total Population, Country Of Origin - South | 43 | - Philippines 2016 Urp Total Population, Country Of Origin - South | ||
44 | Korea 2016 Urp % Population Born In The South Korea, Country Of Origin | 44 | Korea 2016 Urp % Population Born In The South Korea, Country Of Origin | ||
45 | - South Korea 2016 Urp People Born In The South Korea, Country Of | 45 | - South Korea 2016 Urp People Born In The South Korea, Country Of | ||
46 | Origin - South Korea 2016 Urp Total Population, Country Of Origin - | 46 | Origin - South Korea 2016 Urp Total Population, Country Of Origin - | ||
47 | Sri Lanka 2016 Urp % Population Born In Sri Lanka, Country Of Origin - | 47 | Sri Lanka 2016 Urp % Population Born In Sri Lanka, Country Of Origin - | ||
48 | Sri Lanka 2016 Urp People Born In Sri Lanka, Country Of Origin - Sri | 48 | Sri Lanka 2016 Urp People Born In Sri Lanka, Country Of Origin - Sri | ||
49 | Lanka 2016 Urp Total Population, Country Of Origin - Vietnam 2016 Urp | 49 | Lanka 2016 Urp Total Population, Country Of Origin - Vietnam 2016 Urp | ||
50 | % Population Born In Vietnam, Country Of Origin - Vietnam 2016 Urp | 50 | % Population Born In Vietnam, Country Of Origin - Vietnam 2016 Urp | ||
51 | People Born In Vietnam, Country Of Origin - Vietnam 2016 Urp Total | 51 | People Born In Vietnam, Country Of Origin - Vietnam 2016 Urp Total | ||
52 | Population, LGA Code 2016, LGA Name 2016" | 52 | Population, LGA Code 2016, LGA Name 2016" | ||
53 | }, | 53 | }, | ||
54 | { | 54 | { | ||
55 | "key": "Attribution", | 55 | "key": "Attribution", | ||
56 | "value": "Torrens University Australia - Public Health | 56 | "value": "Torrens University Australia - Public Health | ||
57 | Information Development Unit, (2021): PHIDU - Birthplace - Top 10 NES | 57 | Information Development Unit, (2021): PHIDU - Birthplace - Top 10 NES | ||
58 | Countries (LGA) 2016; accessed from AURIN on [date of access]." | 58 | Countries (LGA) 2016; accessed from AURIN on [date of access]." | ||
59 | }, | 59 | }, | ||
60 | { | 60 | { | ||
61 | "key": "Coordinate Ref. System", | 61 | "key": "Coordinate Ref. System", | ||
62 | "value": "EPSG:4283 (GDA_1994)" | 62 | "value": "EPSG:4283 (GDA_1994)" | ||
63 | }, | 63 | }, | ||
64 | { | 64 | { | ||
65 | "key": "Copyright Notice", | 65 | "key": "Copyright Notice", | ||
66 | "value": "\u00a9 Torrens University Australia - Public Health | 66 | "value": "\u00a9 Torrens University Australia - Public Health | ||
67 | Information Development Unit 2021" | 67 | Information Development Unit 2021" | ||
68 | }, | 68 | }, | ||
69 | { | 69 | { | ||
70 | "key": "Geometry Field", | 70 | "key": "Geometry Field", | ||
71 | "value": "lga_code" | 71 | "value": "lga_code" | ||
72 | }, | 72 | }, | ||
73 | { | 73 | { | ||
74 | "key": "Key", | 74 | "key": "Key", | ||
75 | "value": "lga_code" | 75 | "value": "lga_code" | ||
76 | }, | 76 | }, | ||
77 | { | 77 | { | ||
78 | "key": "Type", | 78 | "key": "Type", | ||
79 | "value": "dataset" | 79 | "value": "dataset" | ||
80 | }, | 80 | }, | ||
81 | { | 81 | { | ||
82 | "key": "spatial", | 82 | "key": "spatial", | ||
83 | "value": "{\"type\": \"Polygon\", \"coordinates\": [[[96.81, | 83 | "value": "{\"type\": \"Polygon\", \"coordinates\": [[[96.81, | ||
84 | -43.75], [159.11, -43.75], [159.11, -9.14], [96.81, -9.14], [96.81, | 84 | -43.75], [159.11, -43.75], [159.11, -9.14], [96.81, -9.14], [96.81, | ||
85 | -43.75]]]}" | 85 | -43.75]]]}" | ||
86 | } | 86 | } | ||
87 | ], | 87 | ], | ||
n | 88 | "groups": [], | n | 88 | "groups": [ |
89 | { | ||||
90 | "description": "Data licenced under various Open Data licences. | ||||
91 | Please check the licence for each dataset individually. To gain access | ||||
92 | head to the [ADP Access Dashboard](https://adp-access.aurin.org.au/) | ||||
93 | and accept the ADP Terms of Use.", | ||||
94 | "display_name": "Open Access", | ||||
95 | "id": "dbc8a185-ce67-449c-850e-afa744887450", | ||||
96 | "image_display_url": | ||||
97 | "https://resources.aurin.org.au/icons/unlocked_orange.png", | ||||
98 | "name": "open", | ||||
99 | "title": "Open Access" | ||||
100 | } | ||||
101 | ], | ||||
89 | "id": "277cf610-0b98-4296-bf01-acee4d068a8e", | 102 | "id": "277cf610-0b98-4296-bf01-acee4d068a8e", | ||
90 | "isopen": true, | 103 | "isopen": true, | ||
91 | "license_id": "CC-BY-NC-SA-3.0-AU", | 104 | "license_id": "CC-BY-NC-SA-3.0-AU", | ||
92 | "license_title": "Creative Commons | 105 | "license_title": "Creative Commons | ||
93 | Attribution-NonCommercial-ShareAlike 3.0 Australia (CC BY-NC-SA 3.0 | 106 | Attribution-NonCommercial-ShareAlike 3.0 Australia (CC BY-NC-SA 3.0 | ||
94 | AU)", | 107 | AU)", | ||
95 | "license_url": | 108 | "license_url": | ||
96 | "https://creativecommons.org/licenses/by-nc-sa/3.0/au/", | 109 | "https://creativecommons.org/licenses/by-nc-sa/3.0/au/", | ||
97 | "maintainer": null, | 110 | "maintainer": null, | ||
98 | "maintainer_email": null, | 111 | "maintainer_email": null, | ||
99 | "metadata_created": "2023-06-28T07:31:14.909238", | 112 | "metadata_created": "2023-06-28T07:31:14.909238", | ||
t | 100 | "metadata_modified": "2023-06-28T07:31:15.132575", | t | 113 | "metadata_modified": "2023-06-28T07:31:15.456330", |
101 | "name": "tua-phidu-phidu-birthplace-top-ten-nes-lga-2016-lga2016", | 114 | "name": "tua-phidu-phidu-birthplace-top-ten-nes-lga-2016-lga2016", | ||
102 | "notes": "This dataset, released August 2017, contains the top ten | 115 | "notes": "This dataset, released August 2017, contains the top ten | ||
103 | birthplaces of people born in non-English speaking countries, | 116 | birthplaces of people born in non-English speaking countries, | ||
104 | 2016.\nThe data comprise residents of Australia who were born overseas | 117 | 2016.\nThe data comprise residents of Australia who were born overseas | ||
105 | in one of the predominantly non-English speaking countries which are | 118 | in one of the predominantly non-English speaking countries which are | ||
106 | in the top ten for Australia in terms of high numbers of migrants. | 119 | in the top ten for Australia in terms of high numbers of migrants. | ||
107 | These are, from highest to lowest: China, India, Philippines, Vietnam, | 120 | These are, from highest to lowest: China, India, Philippines, Vietnam, | ||
108 | Italy, Malaysia, Sri Lanka, Germany, Republic of Korea (South), and | 121 | Italy, Malaysia, Sri Lanka, Germany, Republic of Korea (South), and | ||
109 | Greece.\nThe data is by Local Government Area (LGA) 2016 geographic | 122 | Greece.\nThe data is by Local Government Area (LGA) 2016 geographic | ||
110 | boundaries.\n\nFor more information please see the [data source | 123 | boundaries.\n\nFor more information please see the [data source | ||
111 | rrens.edu.au/current/data/sha-aust/notes/phidu_data_sources_notes.pdf) | 124 | rrens.edu.au/current/data/sha-aust/notes/phidu_data_sources_notes.pdf) | ||
112 | on the data. \n\nSource: Compiled by PHIDU based on the ABS Census of | 125 | on the data. \n\nSource: Compiled by PHIDU based on the ABS Census of | ||
113 | Population and Housing, August 2016.\n\n AURIN has spatially enabled | 126 | Population and Housing, August 2016.\n\n AURIN has spatially enabled | ||
114 | the [original | 127 | the [original | ||
115 | lases/data#social-health-atlases-of-australia-local-government-areas). | 128 | lases/data#social-health-atlases-of-australia-local-government-areas). | ||
116 | Data that was not shown/not applicable/not published/not available for | 129 | Data that was not shown/not applicable/not published/not available for | ||
117 | the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original | 130 | the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original | ||
118 | PHIDU data) was removed.It has been replaced by by Blank cells. For | 131 | PHIDU data) was removed.It has been replaced by by Blank cells. For | ||
119 | other keys and abbreviations refer to [PHIDU | 132 | other keys and abbreviations refer to [PHIDU | ||
120 | Keys](https://cloudstor.aarnet.edu.au/plus/s/1ryaKpnBQB6cMCp).", | 133 | Keys](https://cloudstor.aarnet.edu.au/plus/s/1ryaKpnBQB6cMCp).", | ||
121 | "num_resources": 1, | 134 | "num_resources": 1, | ||
122 | "num_tags": 4, | 135 | "num_tags": 4, | ||
123 | "organization": { | 136 | "organization": { | ||
124 | "approval_status": "approved", | 137 | "approval_status": "approved", | ||
125 | "created": "2023-06-28T06:14:34.290612", | 138 | "created": "2023-06-28T06:14:34.290612", | ||
126 | "description": "", | 139 | "description": "", | ||
127 | "id": "6af2fd4d-8220-4ab1-9b53-b5932f04915b", | 140 | "id": "6af2fd4d-8220-4ab1-9b53-b5932f04915b", | ||
128 | "image_url": | 141 | "image_url": | ||
129 | "https://resources.aurin.org.au/ckan/logos/tua_phidu.png", | 142 | "https://resources.aurin.org.au/ckan/logos/tua_phidu.png", | ||
130 | "is_organization": true, | 143 | "is_organization": true, | ||
131 | "name": "tua_phidu", | 144 | "name": "tua_phidu", | ||
132 | "state": "active", | 145 | "state": "active", | ||
133 | "title": "Torrens University Australia - Public Health Information | 146 | "title": "Torrens University Australia - Public Health Information | ||
134 | Development Unit", | 147 | Development Unit", | ||
135 | "type": "organization" | 148 | "type": "organization" | ||
136 | }, | 149 | }, | ||
137 | "owner_org": "6af2fd4d-8220-4ab1-9b53-b5932f04915b", | 150 | "owner_org": "6af2fd4d-8220-4ab1-9b53-b5932f04915b", | ||
138 | "private": false, | 151 | "private": false, | ||
139 | "relationships_as_object": [], | 152 | "relationships_as_object": [], | ||
140 | "relationships_as_subject": [], | 153 | "relationships_as_subject": [], | ||
141 | "resources": [ | 154 | "resources": [ | ||
142 | { | 155 | { | ||
143 | "cache_last_updated": null, | 156 | "cache_last_updated": null, | ||
144 | "cache_url": null, | 157 | "cache_url": null, | ||
145 | "created": "2023-06-28T07:31:15.154359", | 158 | "created": "2023-06-28T07:31:15.154359", | ||
146 | "description": "Download this dataset via the AURIN Download | 159 | "description": "Download this dataset via the AURIN Download | ||
147 | Manager", | 160 | Manager", | ||
148 | "format": "HTML", | 161 | "format": "HTML", | ||
149 | "hash": "", | 162 | "hash": "", | ||
150 | "id": "6e1b57da-1f15-46ac-8d6b-9f913cfc3755", | 163 | "id": "6e1b57da-1f15-46ac-8d6b-9f913cfc3755", | ||
151 | "last_modified": null, | 164 | "last_modified": null, | ||
152 | "metadata_modified": "2023-06-28T07:31:15.139343", | 165 | "metadata_modified": "2023-06-28T07:31:15.139343", | ||
153 | "mimetype": null, | 166 | "mimetype": null, | ||
154 | "mimetype_inner": null, | 167 | "mimetype_inner": null, | ||
155 | "name": "AURIN Download Manager", | 168 | "name": "AURIN Download Manager", | ||
156 | "package_id": "277cf610-0b98-4296-bf01-acee4d068a8e", | 169 | "package_id": "277cf610-0b98-4296-bf01-acee4d068a8e", | ||
157 | "position": 0, | 170 | "position": 0, | ||
158 | "resource_type": null, | 171 | "resource_type": null, | ||
159 | "size": null, | 172 | "size": null, | ||
160 | "state": "active", | 173 | "state": "active", | ||
161 | "url": | 174 | "url": | ||
162 | g.au/dataset/tua-phidu-phidu-birthplace-top-ten-nes-lga-2016-lga2016", | 175 | g.au/dataset/tua-phidu-phidu-birthplace-top-ten-nes-lga-2016-lga2016", | ||
163 | "url_type": null | 176 | "url_type": null | ||
164 | } | 177 | } | ||
165 | ], | 178 | ], | ||
166 | "state": "active", | 179 | "state": "active", | ||
167 | "tags": [ | 180 | "tags": [ | ||
168 | { | 181 | { | ||
169 | "display_name": "Demography", | 182 | "display_name": "Demography", | ||
170 | "id": "3e53d389-08cc-4b5b-9b37-646124365c66", | 183 | "id": "3e53d389-08cc-4b5b-9b37-646124365c66", | ||
171 | "name": "Demography", | 184 | "name": "Demography", | ||
172 | "state": "active", | 185 | "state": "active", | ||
173 | "vocabulary_id": null | 186 | "vocabulary_id": null | ||
174 | }, | 187 | }, | ||
175 | { | 188 | { | ||
176 | "display_name": "HEALTH SCIENCES", | 189 | "display_name": "HEALTH SCIENCES", | ||
177 | "id": "eb3abd88-b95a-475a-9e1f-4a61d7b625fe", | 190 | "id": "eb3abd88-b95a-475a-9e1f-4a61d7b625fe", | ||
178 | "name": "HEALTH SCIENCES", | 191 | "name": "HEALTH SCIENCES", | ||
179 | "state": "active", | 192 | "state": "active", | ||
180 | "vocabulary_id": null | 193 | "vocabulary_id": null | ||
181 | }, | 194 | }, | ||
182 | { | 195 | { | ||
183 | "display_name": "HUMAN SOCIETY", | 196 | "display_name": "HUMAN SOCIETY", | ||
184 | "id": "2d8807a1-99ac-4fb2-be2f-cfcc0782bc13", | 197 | "id": "2d8807a1-99ac-4fb2-be2f-cfcc0782bc13", | ||
185 | "name": "HUMAN SOCIETY", | 198 | "name": "HUMAN SOCIETY", | ||
186 | "state": "active", | 199 | "state": "active", | ||
187 | "vocabulary_id": null | 200 | "vocabulary_id": null | ||
188 | }, | 201 | }, | ||
189 | { | 202 | { | ||
190 | "display_name": "Public health", | 203 | "display_name": "Public health", | ||
191 | "id": "d3679db4-8fcf-43f0-915d-823ee65d4e55", | 204 | "id": "d3679db4-8fcf-43f0-915d-823ee65d4e55", | ||
192 | "name": "Public health", | 205 | "name": "Public health", | ||
193 | "state": "active", | 206 | "state": "active", | ||
194 | "vocabulary_id": null | 207 | "vocabulary_id": null | ||
195 | } | 208 | } | ||
196 | ], | 209 | ], | ||
197 | "title": "PHIDU - Birthplace - Top 10 NES Countries (LGA) 2016", | 210 | "title": "PHIDU - Birthplace - Top 10 NES Countries (LGA) 2016", | ||
198 | "type": "dataset", | 211 | "type": "dataset", | ||
199 | "url": "https://adp.aurin.org.au/geoserver/wfs", | 212 | "url": "https://adp.aurin.org.au/geoserver/wfs", | ||
200 | "version": null | 213 | "version": null | ||
201 | } | 214 | } |