Changes
On May 13, 2022 at 9:24:36 AM CDT, Claire Herbert:
-
Changed value of field
related_subprograms
to["143260eb-ca0f-46fb-a55a-0be91a7eaa33", "7532a329-624f-48e7-a02d-9fb00d38ca81", "4fa3a804-a8cb-4178-b4e1-4209f76ca184"]
in The Manitoba Great Lakes Program -
Changed value of field
related_publications
to["a94cdb6d-6634-4deb-815e-e67a75c84286", "c5799573-734b-4d52-870f-8b997fb57d9c"]
in The Manitoba Great Lakes Program -
Changed value of field
related_campaigns
to["a9cc3947-2764-4a18-87ec-5f4466eb084d", "ae169b7f-00dd-4533-828c-90d84dcb919e", "dc4d75fc-a46e-4b70-9b9d-d557c05124df", "c795c705-c3da-4df0-9005-8f081d485cf1", "04725018-4822-4d38-b87b-b0f63510c4ba", "8bf4a1bd-9695-4ec8-aae3-6b3fa785733c"]
in The Manitoba Great Lakes Program
f | 1 | { | f | 1 | { |
2 | "Creator": "Creator", | 2 | "Creator": "Creator", | ||
3 | "GeoLocation": "Lake Winnipeg Basin,Manitoba Great Lakes", | 3 | "GeoLocation": "Lake Winnipeg Basin,Manitoba Great Lakes", | ||
4 | "Identifier": "10.5203/2nq5-pc53", | 4 | "Identifier": "10.5203/2nq5-pc53", | ||
5 | "IdentifierType": "DOI", | 5 | "IdentifierType": "DOI", | ||
6 | "PublicationYear": "2022", | 6 | "PublicationYear": "2022", | ||
7 | "Publisher": "CanWIN", | 7 | "Publisher": "CanWIN", | ||
8 | "ResourceType": "Online Resource", | 8 | "ResourceType": "Online Resource", | ||
9 | "ResourceTypeGeneral": "Collection", | 9 | "ResourceTypeGeneral": "Collection", | ||
10 | "Rights": "Creative Commons Attribution 4.0 International", | 10 | "Rights": "Creative Commons Attribution 4.0 International", | ||
11 | "accessTerms": "CanWIN datasets are licensed individually, however | 11 | "accessTerms": "CanWIN datasets are licensed individually, however | ||
12 | most are licensed under the Creative Commons Attribution 4.0 | 12 | most are licensed under the Creative Commons Attribution 4.0 | ||
13 | International (CC BY 4.0) Public License. Details for the licence | 13 | International (CC BY 4.0) Public License. Details for the licence | ||
14 | applied can be found using the Licence URL link provided with each | 14 | applied can be found using the Licence URL link provided with each | ||
15 | dataset.\r\n\r\nBy using data and information provided on this site | 15 | dataset.\r\n\r\nBy using data and information provided on this site | ||
16 | you accept the terms and conditions of the License. Unless otherwise | 16 | you accept the terms and conditions of the License. Unless otherwise | ||
17 | specified, the license grants the rights to the public to use and | 17 | specified, the license grants the rights to the public to use and | ||
18 | share the data and results derived therefrom as long as the proper | 18 | share the data and results derived therefrom as long as the proper | ||
19 | acknowledgment is given to the data licensor (citation), that any | 19 | acknowledgment is given to the data licensor (citation), that any | ||
20 | alteration to the data is clearly indicated, and that a link to the | 20 | alteration to the data is clearly indicated, and that a link to the | ||
21 | original data and the license is made available.", | 21 | original data and the license is made available.", | ||
22 | "author": null, | 22 | "author": null, | ||
23 | "author_email": null, | 23 | "author_email": null, | ||
24 | "citation": " ", | 24 | "citation": " ", | ||
25 | "coInvestigators": [ | 25 | "coInvestigators": [ | ||
26 | { | 26 | { | ||
27 | "affiliation": "Centre for Earth Observation Science - | 27 | "affiliation": "Centre for Earth Observation Science - | ||
28 | University of Manitoba", | 28 | University of Manitoba", | ||
29 | "contributorName": "Papakyriakou, Tim", | 29 | "contributorName": "Papakyriakou, Tim", | ||
30 | "contributorType": "ProjectMember", | 30 | "contributorType": "ProjectMember", | ||
31 | "email": "Tim.Papakyriakou@umanitoba.ca", | 31 | "email": "Tim.Papakyriakou@umanitoba.ca", | ||
32 | "nameIdentifier": "" | 32 | "nameIdentifier": "" | ||
33 | }, | 33 | }, | ||
34 | { | 34 | { | ||
35 | "affiliation": "Centre for Earth Observation Science - | 35 | "affiliation": "Centre for Earth Observation Science - | ||
36 | University of Manitoba", | 36 | University of Manitoba", | ||
37 | "contributorName": "Herbert, Claire", | 37 | "contributorName": "Herbert, Claire", | ||
38 | "contributorType": "ProjectManager", | 38 | "contributorType": "ProjectManager", | ||
39 | "email": "Claire.Herbert@umanitoba.ca", | 39 | "email": "Claire.Herbert@umanitoba.ca", | ||
40 | "nameIdentifier": "0000-0003-2724-4200", | 40 | "nameIdentifier": "0000-0003-2724-4200", | ||
41 | "nameIdentifierScheme": "ORCID", | 41 | "nameIdentifierScheme": "ORCID", | ||
42 | "schemeURI": "http://orcid.org/" | 42 | "schemeURI": "http://orcid.org/" | ||
43 | }, | 43 | }, | ||
44 | { | 44 | { | ||
45 | "affiliation": "Centre for Earth Observation Science - | 45 | "affiliation": "Centre for Earth Observation Science - | ||
46 | University of Manitoba", | 46 | University of Manitoba", | ||
47 | "contributorName": "McCullough, Greg", | 47 | "contributorName": "McCullough, Greg", | ||
48 | "contributorType": "ProjectLeader", | 48 | "contributorType": "ProjectLeader", | ||
49 | "email": "Greg.McCullough@umanitoba.ca", | 49 | "email": "Greg.McCullough@umanitoba.ca", | ||
50 | "nameIdentifier": "" | 50 | "nameIdentifier": "" | ||
51 | } | 51 | } | ||
52 | ], | 52 | ], | ||
53 | "contributorType": "DataCurator", | 53 | "contributorType": "DataCurator", | ||
54 | "creator_user_id": "4c109602-71d0-4ebc-b670-92f67b3004fd", | 54 | "creator_user_id": "4c109602-71d0-4ebc-b670-92f67b3004fd", | ||
55 | "descriptionType": "Abstract", | 55 | "descriptionType": "Abstract", | ||
56 | "eastBoundLongitude": "-27.066243609948597", | 56 | "eastBoundLongitude": "-27.066243609948597", | ||
57 | "endDateType": "Other", | 57 | "endDateType": "Other", | ||
n | 58 | "groups": [ | n | 58 | "groups": [], |
59 | { | ||||
60 | "description": "Inland water features, drainage systems and | ||||
61 | their characteristics. Examples of data you can find here include | ||||
62 | river and lake data, water quality data. \r\n\r\nIn CEOS, related | ||||
63 | research themes include biogeochemistry, Inland lakes and waters, | ||||
64 | modelling, remote sensing and technology, trace metals and | ||||
65 | contaminants.", | ||||
66 | "display_name": "Freshwater", | ||||
67 | "id": "8f8cd877-b037-4b1a-b928-f86d9e093741", | ||||
68 | "image_display_url": | ||||
69 | /data/uploads/group/2021-10-31-211937.658599hyinspirehydrography.svg", | ||||
70 | "name": "freshwater", | ||||
71 | "title": "Freshwater" | ||||
72 | } | ||||
73 | ], | ||||
74 | "id": "2f8c057e-a1df-4ff8-8a76-744212ea379a", | 59 | "id": "2f8c057e-a1df-4ff8-8a76-744212ea379a", | ||
75 | "isopen": false, | 60 | "isopen": false, | ||
76 | "keywords": "Carbon fluxes,Climate change,Freshwaters,Lake | 61 | "keywords": "Carbon fluxes,Climate change,Freshwaters,Lake | ||
77 | Manitoba,Lake Waterhen,Lake Winnipeg Basin,Lake | 62 | Manitoba,Lake Waterhen,Lake Winnipeg Basin,Lake | ||
78 | Winnipegosis,Manitoba,Nelson River watershed,Remote sensing data", | 63 | Winnipegosis,Manitoba,Nelson River watershed,Remote sensing data", | ||
79 | "kvSchemeURI": | 64 | "kvSchemeURI": | ||
80 | "https://www.polardata.ca/pdcinput/public/keywordlibrary ", | 65 | "https://www.polardata.ca/pdcinput/public/keywordlibrary ", | ||
81 | "license_id": null, | 66 | "license_id": null, | ||
82 | "license_title": null, | 67 | "license_title": null, | ||
83 | "maintainer": null, | 68 | "maintainer": null, | ||
84 | "maintainer_email": null, | 69 | "maintainer_email": null, | ||
85 | "metadata_created": "2021-07-26T16:46:10.600302", | 70 | "metadata_created": "2021-07-26T16:46:10.600302", | ||
n | 86 | "metadata_modified": "2022-02-27T17:54:54.376587", | n | 71 | "metadata_modified": "2022-05-13T14:24:36.406501", |
87 | "name": "mbgl", | 72 | "name": "mbgl", | ||
88 | "northBoundLatitude": "140.81676721572876", | 73 | "northBoundLatitude": "140.81676721572876", | ||
89 | "notes": "The Manitoba Great Lakes (MBGL) program is led by | 74 | "notes": "The Manitoba Great Lakes (MBGL) program is led by | ||
90 | researchers at the Centre for Earth Observation Science (CEOS) at the | 75 | researchers at the Centre for Earth Observation Science (CEOS) at the | ||
91 | University of Manitoba, and is a multi-disciplinary collaboration | 76 | University of Manitoba, and is a multi-disciplinary collaboration | ||
92 | dedicated to conducting research and providing data for science-based | 77 | dedicated to conducting research and providing data for science-based | ||
93 | decision making in the Hudson Bay Watershed. \r\n\r\nThe upper | 78 | decision making in the Hudson Bay Watershed. \r\n\r\nThe upper | ||
94 | Manitoba Great Lakes (Lake Manitoba, Winnipegosis and Waterhen) | 79 | Manitoba Great Lakes (Lake Manitoba, Winnipegosis and Waterhen) | ||
95 | include the 27th (Winnipegosis) and 32nd (Manitoba) largest lakes in | 80 | include the 27th (Winnipegosis) and 32nd (Manitoba) largest lakes in | ||
96 | the world. They are important drinking water sources for the people | 81 | the world. They are important drinking water sources for the people | ||
97 | who live near their shores, and important recreational and fisheries | 82 | who live near their shores, and important recreational and fisheries | ||
98 | resources for the region and the Province as a whole. Moreover, they | 83 | resources for the region and the Province as a whole. Moreover, they | ||
99 | help to protect Lake Winnipeg by filtering nutrients and contaminants | 84 | help to protect Lake Winnipeg by filtering nutrients and contaminants | ||
100 | in runoff from its western watershed. In particular, the operation of | 85 | in runoff from its western watershed. In particular, the operation of | ||
101 | the Portage Diversion during flood events has effectively shifted | 86 | the Portage Diversion during flood events has effectively shifted | ||
102 | significant fractions of the Assiniboine River nutrient and | 87 | significant fractions of the Assiniboine River nutrient and | ||
103 | contaminant load from the south basin of Lake Winnipeg to the south | 88 | contaminant load from the south basin of Lake Winnipeg to the south | ||
104 | basin of Lake Manitoba, with undocumented impacts on the latter. | 89 | basin of Lake Manitoba, with undocumented impacts on the latter. | ||
105 | \r\n<br /> \r\nCurrently, the physical, chemical, biological and | 90 | \r\n<br /> \r\nCurrently, the physical, chemical, biological and | ||
106 | geological processes in the lakes are not well understood. Therefore, | 91 | geological processes in the lakes are not well understood. Therefore, | ||
107 | we have a poor ability to predict responses to change in factors such | 92 | we have a poor ability to predict responses to change in factors such | ||
108 | as climate, fishing pressure, and nutrient or contaminant loading from | 93 | as climate, fishing pressure, and nutrient or contaminant loading from | ||
109 | the watershed, or to understand impacts carried downstream to Lake | 94 | the watershed, or to understand impacts carried downstream to Lake | ||
110 | Winnipeg, into Hudson Bay and the arctic. For example, climate change | 95 | Winnipeg, into Hudson Bay and the arctic. For example, climate change | ||
111 | impacts include direct lake warming, which intensifies in-lake | 96 | impacts include direct lake warming, which intensifies in-lake | ||
112 | chemical and biological processes, and increasingly intense | 97 | chemical and biological processes, and increasingly intense | ||
113 | precipitation events. It is likely that this has led to increased | 98 | precipitation events. It is likely that this has led to increased | ||
114 | runoff and more frequent flooding, and hence, increasing nutrient and | 99 | runoff and more frequent flooding, and hence, increasing nutrient and | ||
115 | contaminant transport from the watershed to the lakes, but we have no | 100 | contaminant transport from the watershed to the lakes, but we have no | ||
116 | data to support this speculation. In Lake Manitoba, commercial catch | 101 | data to support this speculation. In Lake Manitoba, commercial catch | ||
117 | of the most valuable species, pickerel, has declined by more than half | 102 | of the most valuable species, pickerel, has declined by more than half | ||
118 | since the 1980s. This may be due to pike in-migration through the | 103 | since the 1980s. This may be due to pike in-migration through the | ||
119 | Portage Diversion, or to high fishing pressure; we have too little | 104 | Portage Diversion, or to high fishing pressure; we have too little | ||
120 | information to know the cause. Most recently, in the summer of 2021, | 105 | information to know the cause. Most recently, in the summer of 2021, | ||
121 | zebra mussel larvae were discovered in Lake Manitoba; again, without | 106 | zebra mussel larvae were discovered in Lake Manitoba; again, without | ||
122 | better information, the impact of this invasive species is a matter of | 107 | better information, the impact of this invasive species is a matter of | ||
123 | conjecture. Overall, lake management and governance are being decided | 108 | conjecture. Overall, lake management and governance are being decided | ||
124 | without adequate scientific support. \r\n<br /> \r\nThe MBGL program | 109 | without adequate scientific support. \r\n<br /> \r\nThe MBGL program | ||
125 | deploys moorings to measure physical and biological parameters in the | 110 | deploys moorings to measure physical and biological parameters in the | ||
126 | lakes. Through various initiatives, including graduate programs, we | 111 | lakes. Through various initiatives, including graduate programs, we | ||
127 | also collect nutrient, biological and physical data from the MBGL | 112 | also collect nutrient, biological and physical data from the MBGL | ||
128 | lakes as well as the surrounding watersheds. Other projects include | 113 | lakes as well as the surrounding watersheds. Other projects include | ||
129 | studying nutrient forcing of algal biomass and associated algal | 114 | studying nutrient forcing of algal biomass and associated algal | ||
130 | toxins. We look at water quality indicators such as chlorophyll, | 115 | toxins. We look at water quality indicators such as chlorophyll, | ||
131 | suspended solids and dissolved organic carbon and can use them to | 116 | suspended solids and dissolved organic carbon and can use them to | ||
132 | create visualizations such as maps of chlorophyll concentration in | 117 | create visualizations such as maps of chlorophyll concentration in | ||
133 | surface water. These methods combined with satellite data can be used | 118 | surface water. These methods combined with satellite data can be used | ||
134 | for early detection of algal blooms and identify potential sites where | 119 | for early detection of algal blooms and identify potential sites where | ||
135 | algal toxins may occur.\r\n<br />\r\nThrough our multi-disciplinary | 120 | algal toxins may occur.\r\n<br />\r\nThrough our multi-disciplinary | ||
136 | research the MBGL program will provide biological and physical data to | 121 | research the MBGL program will provide biological and physical data to | ||
137 | support science-based decision making in the Hudson Bay Watershed, at | 122 | support science-based decision making in the Hudson Bay Watershed, at | ||
138 | local, regional and hemispherical scales", | 123 | local, regional and hemispherical scales", | ||
139 | "num_resources": 0, | 124 | "num_resources": 0, | ||
140 | "num_tags": 10, | 125 | "num_tags": 10, | ||
141 | "organization": { | 126 | "organization": { | ||
142 | "approval_status": "approved", | 127 | "approval_status": "approved", | ||
143 | "created": "2017-07-21T13:15:49.935872", | 128 | "created": "2017-07-21T13:15:49.935872", | ||
144 | "description": "The Centre for Earth Observation Science (CEOS) | 129 | "description": "The Centre for Earth Observation Science (CEOS) | ||
145 | was established in 1994 with a mandate to research, preserve and | 130 | was established in 1994 with a mandate to research, preserve and | ||
146 | communicate knowledge of Earth system processes using the technologies | 131 | communicate knowledge of Earth system processes using the technologies | ||
147 | of Earth Observation Science. Research is multidisciplinary and | 132 | of Earth Observation Science. Research is multidisciplinary and | ||
148 | collaborative seeking to understand the complex interrelationships | 133 | collaborative seeking to understand the complex interrelationships | ||
149 | between elements of Earth systems, and how these systems will likely | 134 | between elements of Earth systems, and how these systems will likely | ||
150 | respond to climate change. Although researchers have worked in many | 135 | respond to climate change. Although researchers have worked in many | ||
151 | regions, the Arctic marine system has always been a unifying focus of | 136 | regions, the Arctic marine system has always been a unifying focus of | ||
152 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | 137 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | ||
153 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | 138 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | ||
154 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | 139 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | ||
155 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | 140 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | ||
156 | existing research activity are divided among key themes:\r\n\r\nArctic | 141 | existing research activity are divided among key themes:\r\n\r\nArctic | ||
157 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | 142 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | ||
158 | preservation, archaeo-geophysics, permafrost degredation, lithic | 143 | preservation, archaeo-geophysics, permafrost degredation, lithic | ||
159 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | 144 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | ||
160 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | 145 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | ||
161 | ethnographic analogy, traditional knowledge, climate change and | 146 | ethnographic analogy, traditional knowledge, climate change and | ||
162 | northern heritage resource management.\r\n\r\nAtmospheric | 147 | northern heritage resource management.\r\n\r\nAtmospheric | ||
163 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | 148 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | ||
164 | extreme weather, circulation, eddy correlations, polar vortex, | 149 | extreme weather, circulation, eddy correlations, polar vortex, | ||
165 | climate, teleconnections, geophysical fluid dynamics, flux and energy | 150 | climate, teleconnections, geophysical fluid dynamics, flux and energy | ||
166 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | 151 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | ||
167 | albedo feedback, cloud radiative forcing, pCO2. | 152 | albedo feedback, cloud radiative forcing, pCO2. | ||
168 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | 153 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | ||
169 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | 154 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | ||
170 | metals, minerals, hydrocarbons, brine processes, otolith | 155 | metals, minerals, hydrocarbons, brine processes, otolith | ||
171 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | 156 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | ||
172 | trace metals, PAHs, source, transport, transformation, pathways, | 157 | trace metals, PAHs, source, transport, transformation, pathways, | ||
173 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | 158 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | ||
174 | Observation Science: Active and passive microwave, LiDAR, EM | 159 | Observation Science: Active and passive microwave, LiDAR, EM | ||
175 | induction, spatial-temporal analysis, forward and inverse scattering | 160 | induction, spatial-temporal analysis, forward and inverse scattering | ||
176 | models, complex permittivity, ocean colour, ocean surface roughness, | 161 | models, complex permittivity, ocean colour, ocean surface roughness, | ||
177 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | 162 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | ||
178 | Biophysical processes, primary production; ice algae, ice | 163 | Biophysical processes, primary production; ice algae, ice | ||
179 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | 164 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | ||
180 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | 165 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | ||
181 | transport, nutrient transport, contaminants, landscape processes, | 166 | transport, nutrient transport, contaminants, landscape processes, | ||
182 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | 167 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | ||
183 | whales, habitat, conservation, satellite telemetry, distribution, | 168 | whales, habitat, conservation, satellite telemetry, distribution, | ||
184 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | 169 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | ||
185 | Simulation of sea ice and oceanic regional processes, Nucleus for | 170 | Simulation of sea ice and oceanic regional processes, Nucleus for | ||
186 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | 171 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | ||
187 | interactions, hind cast simulations and projections for sea ice state | 172 | interactions, hind cast simulations and projections for sea ice state | ||
188 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | 173 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | ||
189 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | 174 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | ||
190 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | 175 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | ||
191 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | 176 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | ||
192 | processes, extreme ice features and hazards, snow, ridges, | 177 | processes, extreme ice features and hazards, snow, ridges, | ||
193 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | 178 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | ||
194 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | 179 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | ||
195 | hunting, food security, sea ice use, community-based research, | 180 | hunting, food security, sea ice use, community-based research, | ||
196 | community-based monitoring, two ways of knowing.", | 181 | community-based monitoring, two ways of knowing.", | ||
197 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 182 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
198 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | 183 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | ||
199 | "is_organization": true, | 184 | "is_organization": true, | ||
200 | "name": "ceos2", | 185 | "name": "ceos2", | ||
201 | "state": "active", | 186 | "state": "active", | ||
202 | "title": "CEOS", | 187 | "title": "CEOS", | ||
203 | "type": "organization" | 188 | "type": "organization" | ||
204 | }, | 189 | }, | ||
205 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 190 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
206 | "principalInvestigators": [ | 191 | "principalInvestigators": [ | ||
207 | { | 192 | { | ||
208 | "affiliation": "Centre for Earth Observation Science - | 193 | "affiliation": "Centre for Earth Observation Science - | ||
209 | University of Manitoba", | 194 | University of Manitoba", | ||
210 | "creatorName": "Barber, David", | 195 | "creatorName": "Barber, David", | ||
211 | "email": "david.barber@umanitoba.ca", | 196 | "email": "david.barber@umanitoba.ca", | ||
212 | "nameIdentifier": "0000-0001-9466-3291", | 197 | "nameIdentifier": "0000-0001-9466-3291", | ||
213 | "nameIdentifierScheme": "ORCID", | 198 | "nameIdentifierScheme": "ORCID", | ||
214 | "nameType": "Personal", | 199 | "nameType": "Personal", | ||
215 | "schemeURI": "http://orcid.org/" | 200 | "schemeURI": "http://orcid.org/" | ||
216 | } | 201 | } | ||
217 | ], | 202 | ], | ||
218 | "private": false, | 203 | "private": false, | ||
219 | "projectDataCuratorAffiliation": "Centre for Earth Observation | 204 | "projectDataCuratorAffiliation": "Centre for Earth Observation | ||
220 | Science - University of Manitoba", | 205 | Science - University of Manitoba", | ||
221 | "projectDataCuratorEmail": "portalco@umanitoba.ca", | 206 | "projectDataCuratorEmail": "portalco@umanitoba.ca", | ||
222 | "projectDataCuratorName": "Herbert, Claire", | 207 | "projectDataCuratorName": "Herbert, Claire", | ||
223 | "projectEndDate": "", | 208 | "projectEndDate": "", | ||
224 | "projectImage": | 209 | "projectImage": | ||
225 | lic/2021-11/manitoba-great-lakes-program-hero-boat.jpg?itok=lGrLZpnX", | 210 | lic/2021-11/manitoba-great-lakes-program-hero-boat.jpg?itok=lGrLZpnX", | ||
226 | "projectStartDate": "2012-04-01", | 211 | "projectStartDate": "2012-04-01", | ||
227 | "relatedIdentifier": | 212 | "relatedIdentifier": | ||
228 | a.ca/earth-observation-science/research/manitoba-great-lakes-program", | 213 | a.ca/earth-observation-science/research/manitoba-great-lakes-program", | ||
229 | "relatedIdentifierType": "URL", | 214 | "relatedIdentifierType": "URL", | ||
n | n | 215 | "related_campaigns": "[\"a9cc3947-2764-4a18-87ec-5f4466eb084d\", | ||
216 | \"ae169b7f-00dd-4533-828c-90d84dcb919e\", | ||||
217 | \"dc4d75fc-a46e-4b70-9b9d-d557c05124df\", | ||||
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