Changes
On May 10, 2022 at 3:15:25 PM CDT, Claire Herbert:
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Changed title to CanWIN White paper (previously CanWIN Whitepaper)
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Updated description of CanWIN White paper from
The Canadian Watershed Information Network (CanWIN) is a Canadian spatial data infrastructure (SDI) system hosted at the University of Manitoba and managed by the Centre for Earth Observation Science within the Faculty of Environment, Earth and Resources. We support research and education and inform management, policy and evidence-based decision making within the Nelson River Watershed and into the Arctic via Hudson Bay. By creating an interoperable infrastructure, CanWIN facilitates the discoverability and accessibility of water and climate-related data across the freshwater-marine spectrum.
toThe Canadian Watershed Information Network (CanWIN) is a Canadian spatial research data infrastructure (SRDI) system hosted at the University of Manitoba and managed by the Centre for Earth Observation Science within the Faculty of Environment, Earth and Resources. We support research and education and inform management, policy and evidence-based decision making within the Nelson River Watershed and into the Arctic via Hudson Bay. By creating an interoperable infrastructure, CanWIN facilitates the discoverability and accessibility of water and climate-related data across the freshwater-marine spectrum.
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Uploaded a new file to resource Canadian Watershed Information Network Roadmap in CanWIN White paper
f | 1 | { | f | 1 | { |
2 | "Author": [ | 2 | "Author": [ | ||
3 | { | 3 | { | ||
4 | "affiliation": "Centre for Earth Observation Science - | 4 | "affiliation": "Centre for Earth Observation Science - | ||
5 | University of Manitoba", | 5 | University of Manitoba", | ||
6 | "creatorName": "Herbert, Claire", | 6 | "creatorName": "Herbert, Claire", | ||
7 | "email": "claire.herbert@umanitoba.ca", | 7 | "email": "claire.herbert@umanitoba.ca", | ||
8 | "nameIdentifier": "0000-0003-2724-4200", | 8 | "nameIdentifier": "0000-0003-2724-4200", | ||
9 | "nameIdentifierScheme": "ORCID", | 9 | "nameIdentifierScheme": "ORCID", | ||
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11 | "schemeURI": "http://orcid.org/" | 11 | "schemeURI": "http://orcid.org/" | ||
12 | }, | 12 | }, | ||
13 | { | 13 | { | ||
14 | "affiliation": "Centre for Earth Observation Science - | 14 | "affiliation": "Centre for Earth Observation Science - | ||
15 | University of Manitoba", | 15 | University of Manitoba", | ||
16 | "creatorName": "Candlish, Lauren", | 16 | "creatorName": "Candlish, Lauren", | ||
17 | "email": "lauren.candlish@umanitoba.ca", | 17 | "email": "lauren.candlish@umanitoba.ca", | ||
18 | "nameIdentifier": "", | 18 | "nameIdentifier": "", | ||
19 | "nameType": "Personal" | 19 | "nameType": "Personal" | ||
20 | } | 20 | } | ||
21 | ], | 21 | ], | ||
22 | "PublicationYear": "2021", | 22 | "PublicationYear": "2021", | ||
23 | "Publisher": "University of Manitoba", | 23 | "Publisher": "University of Manitoba", | ||
24 | "ResourceType": "whitepaper", | 24 | "ResourceType": "whitepaper", | ||
25 | "Rights": "Creative Commons Attribution-NoDerivatives 4.0 | 25 | "Rights": "Creative Commons Attribution-NoDerivatives 4.0 | ||
26 | International", | 26 | International", | ||
27 | "Version": "1.3", | 27 | "Version": "1.3", | ||
28 | "author": null, | 28 | "author": null, | ||
29 | "author_email": null, | 29 | "author_email": null, | ||
30 | "awardTitle": "", | 30 | "awardTitle": "", | ||
31 | "awardURI": "https://umanitoba.ca/earth-observation-science/", | 31 | "awardURI": "https://umanitoba.ca/earth-observation-science/", | ||
32 | "citation": "", | 32 | "citation": "", | ||
33 | "creator_user_id": "c3ad971e-75e0-4e57-b825-8ed25f306937", | 33 | "creator_user_id": "c3ad971e-75e0-4e57-b825-8ed25f306937", | ||
34 | "descriptionType": "Abstract", | 34 | "descriptionType": "Abstract", | ||
35 | "funderIdentifier": "", | 35 | "funderIdentifier": "", | ||
36 | "funderIdentifierType": "", | 36 | "funderIdentifierType": "", | ||
37 | "funderName": "", | 37 | "funderName": "", | ||
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39 | "grantNumber": "", | 39 | "grantNumber": "", | ||
n | 40 | "groups": [ | n | 40 | "groups": [], |
41 | { | ||||
42 | "description": "Processes and phenomena of the atmosphere \u2013 | ||||
43 | or \u2018weather and climate\u2019. Examples of data you can find here | ||||
44 | include weather, atmospheric conditions, climate change info. | ||||
45 | \r\n\r\nIn CEOS, related research themes include atmospheric science | ||||
46 | and meteorology.", | ||||
47 | "display_name": "Atmosphere", | ||||
48 | "id": "d5c57e39-a747-4085-ba9c-3cfb44f9d5ef", | ||||
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50 | .au/data/uploads/group/2021-10-31-211610.563086acinspireatmscond.svg", | ||||
51 | "name": "modelling", | ||||
52 | "title": "Atmosphere" | ||||
53 | }, | ||||
54 | { | ||||
55 | "description": "The cryosphere encompasses all the parts of the | ||||
56 | Earth system where water is in solid form, including ice sheets, ice | ||||
57 | shelves, glaciers, snow cover, permafrost (frozen ground), sea ice, | ||||
58 | and river and lake ice. The cryosphere exerts an important influence | ||||
59 | on Earth\u2019s climate. \r\n\r\nIn CEOS, research themes include | ||||
60 | biogeochemistry, glaciology, Ice-associated biology, sea ice | ||||
61 | geophysics and trace metals and contaminants", | ||||
62 | "display_name": "Cryosphere", | ||||
63 | "id": "3707ff10-6424-4858-9ec9-7d67b38831b3", | ||||
64 | "image_display_url": | ||||
65 | loads/group/2021-11-01-152857.585996C3SindicatorscryosphereFig10.png", | ||||
66 | "name": "cryosphere", | ||||
67 | "title": "Cryosphere" | ||||
68 | }, | ||||
69 | { | ||||
70 | "description": "Inland water features, drainage systems and | ||||
71 | their characteristics. Examples of data you can find here include | ||||
72 | river and lake data, water quality data. \r\n\r\nIn CEOS, related | ||||
73 | research themes include biogeochemistry, Inland lakes and waters, | ||||
74 | modelling, remote sensing and technology, trace metals and | ||||
75 | contaminants.", | ||||
76 | "display_name": "Freshwater", | ||||
77 | "id": "8f8cd877-b037-4b1a-b928-f86d9e093741", | ||||
78 | "image_display_url": | ||||
79 | /data/uploads/group/2021-10-31-211937.658599hyinspirehydrography.svg", | ||||
80 | "name": "freshwater", | ||||
81 | "title": "Freshwater" | ||||
82 | }, | ||||
83 | { | ||||
84 | "description": "Features and characteristics of salt water | ||||
85 | bodies.\r\n\r\nIn CEOS, related research themes include | ||||
86 | biogeochemistry, modelling, marine mammals, oil spill response, | ||||
87 | physical oceanography, remote sensing and technology and trace metals | ||||
88 | and contaminants", | ||||
89 | "display_name": "Marine", | ||||
90 | "id": "98238b1c-5be8-41ad-8c6e-74cdc4f5f369", | ||||
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92 | ata/uploads/group/2021-10-31-211516.365746ofinspireoceanographic.svg", | ||||
93 | "name": "marine", | ||||
94 | "title": "Marine" | ||||
95 | } | ||||
96 | ], | ||||
97 | "id": "989e9485-6732-4b5e-88da-31c879a2ee26", | 41 | "id": "989e9485-6732-4b5e-88da-31c879a2ee26", | ||
98 | "isopen": false, | 42 | "isopen": false, | ||
99 | "keywords": "Data Portal,Data centre,Metadata", | 43 | "keywords": "Data Portal,Data centre,Metadata", | ||
100 | "language": "English", | 44 | "language": "English", | ||
101 | "licenceType": "Open", | 45 | "licenceType": "Open", | ||
102 | "license_id": null, | 46 | "license_id": null, | ||
103 | "license_title": null, | 47 | "license_title": null, | ||
104 | "maintainer": null, | 48 | "maintainer": null, | ||
105 | "maintainer_email": null, | 49 | "maintainer_email": null, | ||
106 | "metadata_created": "2021-12-13T16:49:08.595960", | 50 | "metadata_created": "2021-12-13T16:49:08.595960", | ||
n | 107 | "metadata_modified": "2021-12-13T16:54:21.113337", | n | 51 | "metadata_modified": "2022-05-10T20:15:25.140493", |
108 | "name": "canwin-whitepaper", | 52 | "name": "canwin-whitepaper", | ||
109 | "notes": "The Canadian Watershed Information Network (CanWIN) is a | 53 | "notes": "The Canadian Watershed Information Network (CanWIN) is a | ||
n | 110 | Canadian spatial data infrastructure (SDI) system hosted at the | n | 54 | Canadian spatial research data infrastructure (SRDI) system hosted at |
111 | University of Manitoba and managed by the Centre for Earth Observation | 55 | the University of Manitoba and managed by the Centre for Earth | ||
112 | Science within the Faculty of Environment, Earth and Resources. We | 56 | Observation Science within the Faculty of Environment, Earth and | ||
113 | support research and education and inform management, policy and | 57 | Resources. We support research and education and inform management, | ||
114 | evidence-based decision making within the Nelson River Watershed and | 58 | policy and evidence-based decision making within the Nelson River | ||
115 | into the Arctic via Hudson Bay. By creating an interoperable | 59 | Watershed and into the Arctic via Hudson Bay. By creating an | ||
116 | infrastructure, CanWIN facilitates the discoverability and | 60 | interoperable infrastructure, CanWIN facilitates the discoverability | ||
117 | accessibility of water and climate-related data across the | 61 | and accessibility of water and climate-related data across the | ||
118 | freshwater-marine spectrum. ", | 62 | freshwater-marine spectrum. ", | ||
119 | "num_resources": 1, | 63 | "num_resources": 1, | ||
120 | "num_tags": 3, | 64 | "num_tags": 3, | ||
121 | "organization": { | 65 | "organization": { | ||
122 | "approval_status": "approved", | 66 | "approval_status": "approved", | ||
123 | "created": "2017-07-21T13:15:49.935872", | 67 | "created": "2017-07-21T13:15:49.935872", | ||
124 | "description": "The Centre for Earth Observation Science (CEOS) | 68 | "description": "The Centre for Earth Observation Science (CEOS) | ||
125 | was established in 1994 with a mandate to research, preserve and | 69 | was established in 1994 with a mandate to research, preserve and | ||
126 | communicate knowledge of Earth system processes using the technologies | 70 | communicate knowledge of Earth system processes using the technologies | ||
127 | of Earth Observation Science. Research is multidisciplinary and | 71 | of Earth Observation Science. Research is multidisciplinary and | ||
128 | collaborative seeking to understand the complex interrelationships | 72 | collaborative seeking to understand the complex interrelationships | ||
129 | between elements of Earth systems, and how these systems will likely | 73 | between elements of Earth systems, and how these systems will likely | ||
130 | respond to climate change. Although researchers have worked in many | 74 | respond to climate change. Although researchers have worked in many | ||
131 | regions, the Arctic marine system has always been a unifying focus of | 75 | regions, the Arctic marine system has always been a unifying focus of | ||
132 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | 76 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | ||
133 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | 77 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | ||
134 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | 78 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | ||
135 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | 79 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | ||
136 | existing research activity are divided among key themes:\r\n\r\nArctic | 80 | existing research activity are divided among key themes:\r\n\r\nArctic | ||
137 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | 81 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | ||
138 | preservation, archaeo-geophysics, permafrost degredation, lithic | 82 | preservation, archaeo-geophysics, permafrost degredation, lithic | ||
139 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | 83 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | ||
140 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | 84 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | ||
141 | ethnographic analogy, traditional knowledge, climate change and | 85 | ethnographic analogy, traditional knowledge, climate change and | ||
142 | northern heritage resource management.\r\n\r\nAtmospheric | 86 | northern heritage resource management.\r\n\r\nAtmospheric | ||
143 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | 87 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | ||
144 | extreme weather, circulation, eddy correlations, polar vortex, | 88 | extreme weather, circulation, eddy correlations, polar vortex, | ||
145 | climate, teleconnections, geophysical fluid dynamics, flux and energy | 89 | climate, teleconnections, geophysical fluid dynamics, flux and energy | ||
146 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | 90 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | ||
147 | albedo feedback, cloud radiative forcing, pCO2. | 91 | albedo feedback, cloud radiative forcing, pCO2. | ||
148 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | 92 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | ||
149 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | 93 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | ||
150 | metals, minerals, hydrocarbons, brine processes, otolith | 94 | metals, minerals, hydrocarbons, brine processes, otolith | ||
151 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | 95 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | ||
152 | trace metals, PAHs, source, transport, transformation, pathways, | 96 | trace metals, PAHs, source, transport, transformation, pathways, | ||
153 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | 97 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | ||
154 | Observation Science: Active and passive microwave, LiDAR, EM | 98 | Observation Science: Active and passive microwave, LiDAR, EM | ||
155 | induction, spatial-temporal analysis, forward and inverse scattering | 99 | induction, spatial-temporal analysis, forward and inverse scattering | ||
156 | models, complex permittivity, ocean colour, ocean surface roughness, | 100 | models, complex permittivity, ocean colour, ocean surface roughness, | ||
157 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | 101 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | ||
158 | Biophysical processes, primary production; ice algae, ice | 102 | Biophysical processes, primary production; ice algae, ice | ||
159 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | 103 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | ||
160 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | 104 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | ||
161 | transport, nutrient transport, contaminants, landscape processes, | 105 | transport, nutrient transport, contaminants, landscape processes, | ||
162 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | 106 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | ||
163 | whales, habitat, conservation, satellite telemetry, distribution, | 107 | whales, habitat, conservation, satellite telemetry, distribution, | ||
164 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | 108 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | ||
165 | Simulation of sea ice and oceanic regional processes, Nucleus for | 109 | Simulation of sea ice and oceanic regional processes, Nucleus for | ||
166 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | 110 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | ||
167 | interactions, hind cast simulations and projections for sea ice state | 111 | interactions, hind cast simulations and projections for sea ice state | ||
168 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | 112 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | ||
169 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | 113 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | ||
170 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | 114 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | ||
171 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | 115 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | ||
172 | processes, extreme ice features and hazards, snow, ridges, | 116 | processes, extreme ice features and hazards, snow, ridges, | ||
173 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | 117 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | ||
174 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | 118 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | ||
175 | hunting, food security, sea ice use, community-based research, | 119 | hunting, food security, sea ice use, community-based research, | ||
176 | community-based monitoring, two ways of knowing.", | 120 | community-based monitoring, two ways of knowing.", | ||
177 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 121 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
178 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | 122 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | ||
179 | "is_organization": true, | 123 | "is_organization": true, | ||
180 | "name": "ceos2", | 124 | "name": "ceos2", | ||
181 | "state": "active", | 125 | "state": "active", | ||
182 | "title": "CEOS", | 126 | "title": "CEOS", | ||
183 | "type": "organization" | 127 | "type": "organization" | ||
184 | }, | 128 | }, | ||
185 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 129 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
186 | "private": false, | 130 | "private": false, | ||
187 | "related_datasets": "[]", | 131 | "related_datasets": "[]", | ||
188 | "related_programs": "[]", | 132 | "related_programs": "[]", | ||
189 | "relationships_as_object": [], | 133 | "relationships_as_object": [], | ||
190 | "relationships_as_subject": [], | 134 | "relationships_as_subject": [], | ||
191 | "resources": [ | 135 | "resources": [ | ||
192 | { | 136 | { | ||
193 | "cache_last_updated": null, | 137 | "cache_last_updated": null, | ||
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195 | "created": "2021-12-13T16:54:21.130627", | 139 | "created": "2021-12-13T16:54:21.130627", | ||
196 | "datastore_active": false, | 140 | "datastore_active": false, | ||
197 | "datastore_contains_all_records_of_source_file": false, | 141 | "datastore_contains_all_records_of_source_file": false, | ||
198 | "description": "The Canadian Watershed Information Network | 142 | "description": "The Canadian Watershed Information Network | ||
199 | (CanWIN) is a Canadian spatial data infrastructure (SDI) system hosted | 143 | (CanWIN) is a Canadian spatial data infrastructure (SDI) system hosted | ||
200 | at the University of Manitoba and managed by the Centre for Earth | 144 | at the University of Manitoba and managed by the Centre for Earth | ||
201 | Observation Science within the Faculty of Environment, Earth and | 145 | Observation Science within the Faculty of Environment, Earth and | ||
202 | Resources. We support research and education and inform management, | 146 | Resources. We support research and education and inform management, | ||
203 | policy and evidence-based decision making within the Nelson River | 147 | policy and evidence-based decision making within the Nelson River | ||
204 | Watershed and into the Arctic via Hudson Bay. By creating an | 148 | Watershed and into the Arctic via Hudson Bay. By creating an | ||
205 | interoperable infrastructure, CanWIN facilitates the discoverability | 149 | interoperable infrastructure, CanWIN facilitates the discoverability | ||
206 | and accessibility of water and climate-related data across the | 150 | and accessibility of water and climate-related data across the | ||
207 | freshwater-marine spectrum. ", | 151 | freshwater-marine spectrum. ", | ||
208 | "format": "PDF", | 152 | "format": "PDF", | ||
209 | "hash": "", | 153 | "hash": "", | ||
210 | "id": "80188807-3a04-47d6-9584-232ee74e78dd", | 154 | "id": "80188807-3a04-47d6-9584-232ee74e78dd", | ||
211 | "last_modified": "2021-12-13T16:54:21.090064", | 155 | "last_modified": "2021-12-13T16:54:21.090064", | ||
212 | "metadata_modified": "2021-12-13T16:54:21.117215", | 156 | "metadata_modified": "2021-12-13T16:54:21.117215", | ||
213 | "mimetype": "application/pdf", | 157 | "mimetype": "application/pdf", | ||
214 | "mimetype_inner": null, | 158 | "mimetype_inner": null, | ||
215 | "name": "Canadian Watershed Information Network Roadmap", | 159 | "name": "Canadian Watershed Information Network Roadmap", | ||
216 | "package_id": "989e9485-6732-4b5e-88da-31c879a2ee26", | 160 | "package_id": "989e9485-6732-4b5e-88da-31c879a2ee26", | ||
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224 | "url_type": "upload" | 168 | "url_type": "upload" | ||
225 | } | 169 | } | ||
226 | ], | 170 | ], | ||
227 | "rightsIdentifier": "CC-BY-ND-4.0", | 171 | "rightsIdentifier": "CC-BY-ND-4.0", | ||
228 | "rightsIdentifierScheme": "SPDX", | 172 | "rightsIdentifierScheme": "SPDX", | ||
229 | "rightsSchemeURI": "https://spdx.org/licenses", | 173 | "rightsSchemeURI": "https://spdx.org/licenses", | ||
230 | "rightsURI": "https://spdx.org/licenses/CC-BY-ND-4.0.html", | 174 | "rightsURI": "https://spdx.org/licenses/CC-BY-ND-4.0.html", | ||
231 | "schemeURI": | 175 | "schemeURI": | ||
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233 | "state": "active", | 177 | "state": "active", | ||
234 | "subjectScheme": "Polar Data Catalogue", | 178 | "subjectScheme": "Polar Data Catalogue", | ||
235 | "tags": [ | 179 | "tags": [ | ||
236 | { | 180 | { | ||
237 | "display_name": "Data Portal", | 181 | "display_name": "Data Portal", | ||
238 | "id": "ab58eb85-0e7b-4584-9a03-88dcd007d63a", | 182 | "id": "ab58eb85-0e7b-4584-9a03-88dcd007d63a", | ||
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240 | "state": "active", | 184 | "state": "active", | ||
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242 | }, | 186 | }, | ||
243 | { | 187 | { | ||
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246 | "name": "Data centre", | 190 | "name": "Data centre", | ||
247 | "state": "active", | 191 | "state": "active", | ||
248 | "vocabulary_id": null | 192 | "vocabulary_id": null | ||
249 | }, | 193 | }, | ||
250 | { | 194 | { | ||
251 | "display_name": "Metadata", | 195 | "display_name": "Metadata", | ||
252 | "id": "338d532e-a99a-4173-9115-4b07aea00607", | 196 | "id": "338d532e-a99a-4173-9115-4b07aea00607", | ||
253 | "name": "Metadata", | 197 | "name": "Metadata", | ||
254 | "state": "active", | 198 | "state": "active", | ||
255 | "vocabulary_id": null | 199 | "vocabulary_id": null | ||
256 | } | 200 | } | ||
257 | ], | 201 | ], | ||
258 | "theme": [ | 202 | "theme": [ | ||
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263 | ], | 207 | ], | ||
t | 264 | "title": "CanWIN Whitepaper", | t | 208 | "title": "CanWIN White paper", |
265 | "type": "publication", | 209 | "type": "publication", | ||
266 | "url": null, | 210 | "url": null, | ||
267 | "version": null | 211 | "version": null | ||
268 | } | 212 | } |