Changes
On December 13, 2021 at 10:54:21 AM CST, Claire Herbert:
-
Added resource Canadian Watershed Information Network Roadmap to CanWIN Whitepaper
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", | ||
10 | "nameType": "Personal", | 10 | "nameType": "Personal", | ||
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": "", | ||
38 | "funderSchemeURI": "", | 38 | "funderSchemeURI": "", | ||
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", | ||||
49 | "image_display_url": | ||||
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", | ||||
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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", | ||||
91 | "image_display_url": | ||||
92 | ata/uploads/group/2021-10-31-211516.365746ofinspireoceanographic.svg", | ||||
93 | "name": "marine", | ||||
94 | "title": "Marine" | ||||
95 | } | ||||
96 | ], | ||||
41 | "id": "989e9485-6732-4b5e-88da-31c879a2ee26", | 97 | "id": "989e9485-6732-4b5e-88da-31c879a2ee26", | ||
42 | "isopen": false, | 98 | "isopen": false, | ||
43 | "keywords": "Data Portal,Data centre,Metadata", | 99 | "keywords": "Data Portal,Data centre,Metadata", | ||
44 | "language": "English", | 100 | "language": "English", | ||
45 | "licenceType": "Open", | 101 | "licenceType": "Open", | ||
46 | "license_id": null, | 102 | "license_id": null, | ||
47 | "license_title": null, | 103 | "license_title": null, | ||
48 | "maintainer": null, | 104 | "maintainer": null, | ||
49 | "maintainer_email": null, | 105 | "maintainer_email": null, | ||
50 | "metadata_created": "2021-12-13T16:49:08.595960", | 106 | "metadata_created": "2021-12-13T16:49:08.595960", | ||
n | 51 | "metadata_modified": "2021-12-13T16:52:30.522732", | n | 107 | "metadata_modified": "2021-12-13T16:54:21.113337", |
52 | "name": "canwin-whitepaper", | 108 | "name": "canwin-whitepaper", | ||
53 | "notes": "The Canadian Watershed Information Network (CanWIN) is a | 109 | "notes": "The Canadian Watershed Information Network (CanWIN) is a | ||
54 | Canadian spatial data infrastructure (SDI) system hosted at the | 110 | Canadian spatial data infrastructure (SDI) system hosted at the | ||
55 | University of Manitoba and managed by the Centre for Earth Observation | 111 | University of Manitoba and managed by the Centre for Earth Observation | ||
56 | Science within the Faculty of Environment, Earth and Resources. We | 112 | Science within the Faculty of Environment, Earth and Resources. We | ||
57 | support research and education and inform management, policy and | 113 | support research and education and inform management, policy and | ||
58 | evidence-based decision making within the Nelson River Watershed and | 114 | evidence-based decision making within the Nelson River Watershed and | ||
59 | into the Arctic via Hudson Bay. By creating an interoperable | 115 | into the Arctic via Hudson Bay. By creating an interoperable | ||
60 | infrastructure, CanWIN facilitates the discoverability and | 116 | infrastructure, CanWIN facilitates the discoverability and | ||
61 | accessibility of water and climate-related data across the | 117 | accessibility of water and climate-related data across the | ||
62 | freshwater-marine spectrum. ", | 118 | freshwater-marine spectrum. ", | ||
n | 63 | "num_resources": 0, | n | 119 | "num_resources": 1, |
64 | "num_tags": 3, | 120 | "num_tags": 3, | ||
65 | "organization": { | 121 | "organization": { | ||
66 | "approval_status": "approved", | 122 | "approval_status": "approved", | ||
67 | "created": "2017-07-21T13:15:49.935872", | 123 | "created": "2017-07-21T13:15:49.935872", | ||
68 | "description": "The Centre for Earth Observation Science (CEOS) | 124 | "description": "The Centre for Earth Observation Science (CEOS) | ||
69 | was established in 1994 with a mandate to research, preserve and | 125 | was established in 1994 with a mandate to research, preserve and | ||
70 | communicate knowledge of Earth system processes using the technologies | 126 | communicate knowledge of Earth system processes using the technologies | ||
71 | of Earth Observation Science. Research is multidisciplinary and | 127 | of Earth Observation Science. Research is multidisciplinary and | ||
72 | collaborative seeking to understand the complex interrelationships | 128 | collaborative seeking to understand the complex interrelationships | ||
73 | between elements of Earth systems, and how these systems will likely | 129 | between elements of Earth systems, and how these systems will likely | ||
74 | respond to climate change. Although researchers have worked in many | 130 | respond to climate change. Although researchers have worked in many | ||
75 | regions, the Arctic marine system has always been a unifying focus of | 131 | regions, the Arctic marine system has always been a unifying focus of | ||
76 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | 132 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | ||
77 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | 133 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | ||
78 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | 134 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | ||
79 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | 135 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | ||
80 | existing research activity are divided among key themes:\r\n\r\nArctic | 136 | existing research activity are divided among key themes:\r\n\r\nArctic | ||
81 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | 137 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | ||
82 | preservation, archaeo-geophysics, permafrost degredation, lithic | 138 | preservation, archaeo-geophysics, permafrost degredation, lithic | ||
83 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | 139 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | ||
84 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | 140 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | ||
85 | ethnographic analogy, traditional knowledge, climate change and | 141 | ethnographic analogy, traditional knowledge, climate change and | ||
86 | northern heritage resource management.\r\n\r\nAtmospheric | 142 | northern heritage resource management.\r\n\r\nAtmospheric | ||
87 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | 143 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | ||
88 | extreme weather, circulation, eddy correlations, polar vortex, | 144 | extreme weather, circulation, eddy correlations, polar vortex, | ||
89 | climate, teleconnections, geophysical fluid dynamics, flux and energy | 145 | climate, teleconnections, geophysical fluid dynamics, flux and energy | ||
90 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | 146 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | ||
91 | albedo feedback, cloud radiative forcing, pCO2. | 147 | albedo feedback, cloud radiative forcing, pCO2. | ||
92 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | 148 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | ||
93 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | 149 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | ||
94 | metals, minerals, hydrocarbons, brine processes, otolith | 150 | metals, minerals, hydrocarbons, brine processes, otolith | ||
95 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | 151 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | ||
96 | trace metals, PAHs, source, transport, transformation, pathways, | 152 | trace metals, PAHs, source, transport, transformation, pathways, | ||
97 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | 153 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | ||
98 | Observation Science: Active and passive microwave, LiDAR, EM | 154 | Observation Science: Active and passive microwave, LiDAR, EM | ||
99 | induction, spatial-temporal analysis, forward and inverse scattering | 155 | induction, spatial-temporal analysis, forward and inverse scattering | ||
100 | models, complex permittivity, ocean colour, ocean surface roughness, | 156 | models, complex permittivity, ocean colour, ocean surface roughness, | ||
101 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | 157 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | ||
102 | Biophysical processes, primary production; ice algae, ice | 158 | Biophysical processes, primary production; ice algae, ice | ||
103 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | 159 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | ||
104 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | 160 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | ||
105 | transport, nutrient transport, contaminants, landscape processes, | 161 | transport, nutrient transport, contaminants, landscape processes, | ||
106 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | 162 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | ||
107 | whales, habitat, conservation, satellite telemetry, distribution, | 163 | whales, habitat, conservation, satellite telemetry, distribution, | ||
108 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | 164 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | ||
109 | Simulation of sea ice and oceanic regional processes, Nucleus for | 165 | Simulation of sea ice and oceanic regional processes, Nucleus for | ||
110 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | 166 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | ||
111 | interactions, hind cast simulations and projections for sea ice state | 167 | interactions, hind cast simulations and projections for sea ice state | ||
112 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | 168 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | ||
113 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | 169 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | ||
114 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | 170 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | ||
115 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | 171 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | ||
116 | processes, extreme ice features and hazards, snow, ridges, | 172 | processes, extreme ice features and hazards, snow, ridges, | ||
117 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | 173 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | ||
118 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | 174 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | ||
119 | hunting, food security, sea ice use, community-based research, | 175 | hunting, food security, sea ice use, community-based research, | ||
120 | community-based monitoring, two ways of knowing.", | 176 | community-based monitoring, two ways of knowing.", | ||
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123 | "is_organization": true, | 179 | "is_organization": true, | ||
124 | "name": "ceos2", | 180 | "name": "ceos2", | ||
125 | "state": "active", | 181 | "state": "active", | ||
126 | "title": "CEOS", | 182 | "title": "CEOS", | ||
127 | "type": "organization" | 183 | "type": "organization" | ||
128 | }, | 184 | }, | ||
129 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 185 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
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131 | "related_datasets": "[]", | 187 | "related_datasets": "[]", | ||
132 | "related_programs": "[]", | 188 | "related_programs": "[]", | ||
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134 | "relationships_as_subject": [], | 190 | "relationships_as_subject": [], | ||
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192 | { | ||||
193 | "cache_last_updated": null, | ||||
194 | "cache_url": null, | ||||
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196 | "datastore_active": false, | ||||
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198 | "description": "The Canadian Watershed Information Network | ||||
199 | (CanWIN) is a Canadian spatial data infrastructure (SDI) system hosted | ||||
200 | at the University of Manitoba and managed by the Centre for Earth | ||||
201 | Observation Science within the Faculty of Environment, Earth and | ||||
202 | Resources. We support research and education and inform management, | ||||
203 | policy and evidence-based decision making within the Nelson River | ||||
204 | Watershed and into the Arctic via Hudson Bay. By creating an | ||||
205 | interoperable infrastructure, CanWIN facilitates the discoverability | ||||
206 | and accessibility of water and climate-related data across the | ||||
207 | freshwater-marine spectrum. ", | ||||
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211 | "last_modified": "2021-12-13T16:54:21.090064", | ||||
212 | "metadata_modified": "2021-12-13T16:54:21.117215", | ||||
213 | "mimetype": "application/pdf", | ||||
214 | "mimetype_inner": null, | ||||
215 | "name": "Canadian Watershed Information Network Roadmap", | ||||
216 | "package_id": "989e9485-6732-4b5e-88da-31c879a2ee26", | ||||
217 | "position": 0, | ||||
218 | "resCategory": "documents", | ||||
219 | "resource_type": null, | ||||
220 | "size": 6222403, | ||||
221 | "state": "active", | ||||
222 | "url": | ||||
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224 | "url_type": "upload" | ||||
225 | } | ||||
226 | ], | ||||
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138 | "rightsSchemeURI": "https://spdx.org/licenses", | 229 | "rightsSchemeURI": "https://spdx.org/licenses", | ||
139 | "rightsURI": "https://spdx.org/licenses/CC-BY-ND-4.0.html", | 230 | "rightsURI": "https://spdx.org/licenses/CC-BY-ND-4.0.html", | ||
140 | "schemeURI": | 231 | "schemeURI": | ||
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142 | "state": "active", | 233 | "state": "active", | ||
143 | "subjectScheme": "Polar Data Catalogue", | 234 | "subjectScheme": "Polar Data Catalogue", | ||
144 | "tags": [ | 235 | "tags": [ | ||
145 | { | 236 | { | ||
146 | "display_name": "Data Portal", | 237 | "display_name": "Data Portal", | ||
147 | "id": "ab58eb85-0e7b-4584-9a03-88dcd007d63a", | 238 | "id": "ab58eb85-0e7b-4584-9a03-88dcd007d63a", | ||
148 | "name": "Data Portal", | 239 | "name": "Data Portal", | ||
149 | "state": "active", | 240 | "state": "active", | ||
150 | "vocabulary_id": null | 241 | "vocabulary_id": null | ||
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152 | { | 243 | { | ||
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156 | "state": "active", | 247 | "state": "active", | ||
157 | "vocabulary_id": null | 248 | "vocabulary_id": null | ||
158 | }, | 249 | }, | ||
159 | { | 250 | { | ||
160 | "display_name": "Metadata", | 251 | "display_name": "Metadata", | ||
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162 | "name": "Metadata", | 253 | "name": "Metadata", | ||
163 | "state": "active", | 254 | "state": "active", | ||
164 | "vocabulary_id": null | 255 | "vocabulary_id": null | ||
165 | } | 256 | } | ||
166 | ], | 257 | ], | ||
167 | "theme": [ | 258 | "theme": [ | ||
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172 | ], | 263 | ], | ||
173 | "title": "CanWIN Whitepaper", | 264 | "title": "CanWIN Whitepaper", | ||
174 | "type": "publication", | 265 | "type": "publication", | ||
175 | "url": null, | 266 | "url": null, | ||
176 | "version": null | 267 | "version": null | ||
177 | } | 268 | } |