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On May 23, 2023 at 4:22:53 PM CDT, Yanique Campbell:
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in Particulate organic carbon in ice and water - Hudson Bay 2018 -
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sample_collection
to[{'comment': '', 'instrumentTitle': 'Rosette Sampler ', 'methodDescrioption': '', 'methodDescriptionType': 'Methods', 'methodTitle': 'Water collection ', 'methodUrl': '', 'standardized_instrument_name': 'discrete water samplers'}, {'comment': '', 'instrumentTitle': 'Submersible pump (Cyclone®) ', 'methodDescrioption': '', 'methodDescriptionType': 'Methods', 'methodTitle': 'Water collection ', 'methodUrl': '', 'standardized_instrument_name': ''}, {'comment': '', 'instrumentTitle': 'Core barrel ', 'methodDescrioption': '', 'methodDescriptionType': 'Methods', 'methodTitle': 'Ice core collection', 'methodUrl': '', 'standardized_instrument_name': 'KOVACS ice coring systems'}, {'comment': '', 'instrumentTitle': '', 'methodDescrioption': '', 'methodDescriptionType': 'Methods', 'methodTitle': '', 'methodUrl': '', 'standardized_instrument_name': ''}]
in Particulate organic carbon in ice and water - Hudson Bay 2018 -
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in Particulate organic carbon in ice and water - Hudson Bay 2018 -
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in Particulate organic carbon in ice and water - Hudson Bay 2018 -
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in Particulate organic carbon in ice and water - Hudson Bay 2018
f | 1 | { | f | 1 | { |
2 | "Creator": "Creator", | 2 | "Creator": "Creator", | ||
3 | "Date": "2020-11-06", | 3 | "Date": "2020-11-06", | ||
4 | "IdentifierType": "DOI", | 4 | "IdentifierType": "DOI", | ||
n | 5 | "PublicationYear": "2022", | n | 5 | "PublicationYear": "2023", |
6 | "Publisher": "CanWIN", | 6 | "Publisher": "CanWIN", | ||
7 | "RelatedIdentifierType": "URL", | 7 | "RelatedIdentifierType": "URL", | ||
8 | "RelationType": "IsSupplementTo", | 8 | "RelationType": "IsSupplementTo", | ||
9 | "ResourceType": "carbon data", | 9 | "ResourceType": "carbon data", | ||
10 | "Rights": "Creative Commons Attribution 4.0 International", | 10 | "Rights": "Creative Commons Attribution 4.0 International", | ||
11 | "Version": "1.0", | 11 | "Version": "1.0", | ||
12 | "accessTerms": "CanWIN datasets are licensed individually, however | 12 | "accessTerms": "CanWIN datasets are licensed individually, however | ||
13 | most are licensed under the Creative Commons Attribution 4.0 | 13 | most are licensed under the Creative Commons Attribution 4.0 | ||
14 | International (CC BY 4.0) Public License. Details for the licence | 14 | International (CC BY 4.0) Public License. Details for the licence | ||
15 | applied can be found using the Licence URL link provided with each | 15 | applied can be found using the Licence URL link provided with each | ||
16 | dataset. \r\nBy using data and information provided on this site you | 16 | dataset. \r\nBy using data and information provided on this site you | ||
17 | accept the terms and conditions of the License. Unless otherwise | 17 | accept the terms and conditions of the License. Unless otherwise | ||
18 | specified, the license grants the rights to the public to use and | 18 | specified, the license grants the rights to the public to use and | ||
19 | share the data and results derived therefrom as long as the proper | 19 | share the data and results derived therefrom as long as the proper | ||
20 | acknowledgment is given to the data licensor (citation), that any | 20 | acknowledgment is given to the data licensor (citation), that any | ||
21 | alteration to the data is clearly indicated, and that a link to the | 21 | alteration to the data is clearly indicated, and that a link to the | ||
22 | original data and the license is made available.", | 22 | original data and the license is made available.", | ||
23 | "activityCollectionType": "Field Measurement", | 23 | "activityCollectionType": "Field Measurement", | ||
24 | "analyticalInstrument": [ | 24 | "analyticalInstrument": [ | ||
25 | { | 25 | { | ||
26 | "Title": "", | 26 | "Title": "", | ||
27 | "analyticalInstrumentIdentifier": "", | 27 | "analyticalInstrumentIdentifier": "", | ||
28 | "identifierType": "", | 28 | "identifierType": "", | ||
29 | "name": "DeltaPlus XP Isotope Ratio Mass Spectrometer (IRMS, | 29 | "name": "DeltaPlus XP Isotope Ratio Mass Spectrometer (IRMS, | ||
30 | Thermo Electron Co) ", | 30 | Thermo Electron Co) ", | ||
31 | "titleType": "Alternative Title" | 31 | "titleType": "Alternative Title" | ||
32 | } | 32 | } | ||
33 | ], | 33 | ], | ||
n | 34 | "analyticalMethodName": "Measurement of particulate carbon (Lab | n | ||
35 | Measurement)", | ||||
36 | "author": null, | 34 | "author": null, | ||
37 | "author_email": null, | 35 | "author_email": null, | ||
n | 38 | "award": [ | n | ||
39 | { | ||||
40 | "awardTitle": "", | ||||
41 | "awardURI": "" | ||||
42 | } | ||||
43 | ], | ||||
44 | "campaignEndDate": "", | 36 | "campaignEndDate": "", | ||
45 | "campaignStartDate": "", | 37 | "campaignStartDate": "", | ||
n | 46 | "comments": "Citation: Glaz P, Sirois P, Archambault P, Nozais C. | n | ||
47 | 2014. Impact of Forest Harvesting on Trophic Structure of Eastern | ||||
48 | Canadian Boreal Shield Lakes: Insights from Stable Isotope Analyses. | ||||
49 | PLOS ONE 9(4): e96143. Public Library of Science. doi: | ||||
50 | 10.1371/journal.pone.0096143 ", | ||||
51 | "contributorName": "Matthes, Lisa. C", | 38 | "contributorName": "Matthes, Lisa. C", | ||
52 | "contributorType": "DataCurator", | 39 | "contributorType": "DataCurator", | ||
53 | "contributors": [ | 40 | "contributors": [ | ||
54 | { | 41 | { | ||
55 | "affiliation": "", | 42 | "affiliation": "", | ||
56 | "contributorName": "Mundy, CJ", | 43 | "contributorName": "Mundy, CJ", | ||
57 | "contributorType": "Supervisor", | 44 | "contributorType": "Supervisor", | ||
58 | "email": "", | 45 | "email": "", | ||
59 | "nameIdentifier": "" | 46 | "nameIdentifier": "" | ||
60 | }, | 47 | }, | ||
61 | { | 48 | { | ||
62 | "affiliation": "", | 49 | "affiliation": "", | ||
63 | "contributorName": "Ehns, Jens", | 50 | "contributorName": "Ehns, Jens", | ||
64 | "contributorType": "Supervisor", | 51 | "contributorType": "Supervisor", | ||
65 | "email": "", | 52 | "email": "", | ||
66 | "nameIdentifier": "" | 53 | "nameIdentifier": "" | ||
67 | } | 54 | } | ||
68 | ], | 55 | ], | ||
69 | "creatorName": [ | 56 | "creatorName": [ | ||
70 | { | 57 | { | ||
71 | "author": "Matthes, Lisa. C", | 58 | "author": "Matthes, Lisa. C", | ||
72 | "creatorAffiliation": "Centre for Earth Observation Science - | 59 | "creatorAffiliation": "Centre for Earth Observation Science - | ||
73 | University of Manitoba", | 60 | University of Manitoba", | ||
74 | "creatorEmail": "matthesl@myumanitoba.ca", | 61 | "creatorEmail": "matthesl@myumanitoba.ca", | ||
75 | "creatorNameIdentifier": "0000-0002-7362-0417", | 62 | "creatorNameIdentifier": "0000-0002-7362-0417", | ||
76 | "nameIdentifierScheme": "ORCID", | 63 | "nameIdentifierScheme": "ORCID", | ||
77 | "nameType": "Personal", | 64 | "nameType": "Personal", | ||
78 | "schemeURI": "http://orcid.org/" | 65 | "schemeURI": "http://orcid.org/" | ||
79 | }, | 66 | }, | ||
80 | { | 67 | { | ||
81 | "author": "Mundy, CJ", | 68 | "author": "Mundy, CJ", | ||
82 | "creatorAffiliation": "Centre for Earth Observation Science - | 69 | "creatorAffiliation": "Centre for Earth Observation Science - | ||
83 | University of Manitoba", | 70 | University of Manitoba", | ||
84 | "creatorEmail": "cj.mundy@umanitoba.ca", | 71 | "creatorEmail": "cj.mundy@umanitoba.ca", | ||
85 | "creatorNameIdentifier": "", | 72 | "creatorNameIdentifier": "", | ||
86 | "nameType": "Personal" | 73 | "nameType": "Personal" | ||
87 | }, | 74 | }, | ||
88 | { | 75 | { | ||
89 | "author": "Ehns, Jens", | 76 | "author": "Ehns, Jens", | ||
90 | "creatorAffiliation": "Centre for Earth Observation Science - | 77 | "creatorAffiliation": "Centre for Earth Observation Science - | ||
91 | University of Manitoba", | 78 | University of Manitoba", | ||
92 | "creatorEmail": "jens.ehn@umanitoba.ca", | 79 | "creatorEmail": "jens.ehn@umanitoba.ca", | ||
93 | "creatorNameIdentifier": "", | 80 | "creatorNameIdentifier": "", | ||
94 | "nameType": "Personal" | 81 | "nameType": "Personal" | ||
95 | } | 82 | } | ||
96 | ], | 83 | ], | ||
97 | "creator_user_id": "59fdde0d-f226-4e5e-99ba-562b96c239a0", | 84 | "creator_user_id": "59fdde0d-f226-4e5e-99ba-562b96c239a0", | ||
98 | "dataCuratorAffiliation": "Centre for Earth Observation Science - | 85 | "dataCuratorAffiliation": "Centre for Earth Observation Science - | ||
99 | University of Manitoba", | 86 | University of Manitoba", | ||
100 | "dataCuratorEmail": "matthesl@myumanitoba.ca", | 87 | "dataCuratorEmail": "matthesl@myumanitoba.ca", | ||
101 | "datasetCitation": "", | 88 | "datasetCitation": "", | ||
n | n | 89 | "datasetIdentifier": "10.34992/gt8c-5v78", | ||
102 | "datasetLevel": "", | 90 | "datasetLevel": "", | ||
103 | "datasetPublisher": "CanWIN", | 91 | "datasetPublisher": "CanWIN", | ||
104 | "dateType": "Updated", | 92 | "dateType": "Updated", | ||
105 | "descriptionType": "Abstract", | 93 | "descriptionType": "Abstract", | ||
106 | "embargoDate": "", | 94 | "embargoDate": "", | ||
107 | "endDate": "2018-07-01", | 95 | "endDate": "2018-07-01", | ||
108 | "endDateType": "Other", | 96 | "endDateType": "Other", | ||
109 | "frequency": "Not planned", | 97 | "frequency": "Not planned", | ||
n | 110 | "funderIdentifierType": "", | n | ||
111 | "funderName": "", | ||||
112 | "funderSchemeURI": "", | ||||
113 | "groups": [ | 98 | "groups": [], | ||
114 | { | ||||
115 | "description": "Features and characteristics of salt water | ||||
116 | bodies.\r\n\r\nIn CEOS, related research themes include | ||||
117 | biogeochemistry, modelling, marine mammals, oil spill response, | ||||
118 | physical oceanography, remote sensing and technology and trace metals | ||||
119 | and contaminants", | ||||
120 | "display_name": "Marine", | ||||
121 | "id": "98238b1c-5be8-41ad-8c6e-74cdc4f5f369", | ||||
122 | "image_display_url": | ||||
123 | ata/uploads/group/2021-10-31-211516.365746ofinspireoceanographic.svg", | ||||
124 | "name": "marine", | ||||
125 | "title": "Marine" | ||||
126 | } | ||||
127 | ], | ||||
128 | "id": "3f1231cf-2795-4d6a-8576-6eb5f3fbd8d9", | 99 | "id": "3f1231cf-2795-4d6a-8576-6eb5f3fbd8d9", | ||
129 | "isopen": false, | 100 | "isopen": false, | ||
n | 130 | "keywords": "Biomass,Hudson Bay,Particulate organic | n | ||
131 | carbon,Phytoplankton,Primary production,Sea ice melt,Spring bloom", | ||||
132 | "kvSchemeURI": | 101 | "kvSchemeURI": | ||
133 | "https://www.polardata.ca/pdcinput/public/keywordlibrary", | 102 | "https://www.polardata.ca/pdcinput/public/keywordlibrary", | ||
n | 134 | "laboratory": "University of British Columbia; Universit\u00e9 Laval | n | ||
135 | ", | ||||
136 | "licenceShemeURI": "https://spdx.org/licenses", | 103 | "licenceShemeURI": "https://spdx.org/licenses", | ||
137 | "licenceType": "Open", | 104 | "licenceType": "Open", | ||
138 | "license_id": null, | 105 | "license_id": null, | ||
139 | "license_title": null, | 106 | "license_title": null, | ||
140 | "maintainer": null, | 107 | "maintainer": null, | ||
141 | "maintainer_email": null, | 108 | "maintainer_email": null, | ||
142 | "metadata_created": "2022-03-15T16:32:21.545617", | 109 | "metadata_created": "2022-03-15T16:32:21.545617", | ||
n | 143 | "metadata_modified": "2022-11-02T21:32:09.230481", | n | 110 | "metadata_modified": "2023-05-23T21:22:53.430669", |
144 | "methodCitation": "", | 111 | "methodCitation": "", | ||
n | 145 | "methodDescrioption": "**Water collection** \r\n\r\nWater samples | n | ||
146 | for the measurement of chlorophyll a concentrations were collected | ||||
147 | from the optical depths at 100 (i.e. sea surface), 30, 15, 5, 1, and | ||||
148 | 0.2% of surface irradiance with 12-L Niskin bottles (Rosette), and | ||||
149 | from the ice-water interface, melt ponds and rivers with a pump. | ||||
150 | \r\n\r\n**Ice core collection**\r\n\r\nThe 1-cm or 5-cm bottom section | ||||
151 | of several ice cores was collected, pooled immediately in a dark | ||||
152 | isothermal container and melted in 0.2-\uf06dm filtered seawater (FSW) | ||||
153 | at a ratio of 3:1 (three parts FSW, one part ice core volume) in the | ||||
154 | dark over 24 h to reduce osmotic stress. \r\n\r\n**Additional | ||||
155 | Comments**\r\n\r\n- The rosette on the research vessel CCGS Amundsen | ||||
156 | was equipped with 12-L Niskin bottles. \r\n\r\n- Sea ice sampling was | ||||
157 | performed with a 9-cm core barrel (Mark II, Kovacs Enterprises) on | ||||
158 | snow-covered and white ice areas. No sea-ice cores were collected in | ||||
159 | melt ponds. \r\n", | ||||
160 | "methodDescriptionType": "Methods", | ||||
161 | "methodLink": "", | ||||
162 | "methodSummary": "Particulate organic carbon (POC) and total | ||||
163 | particulate carbon (TPC) were analyzed from water samples filtered | ||||
164 | onto precombusted (450\uf0b0C at 5h) 25-mm GF/F filters. Filter blanks | ||||
165 | for each sampling station were produced by filtering 500 mL of FSW | ||||
166 | through a GF/F filter. Afterwards, filters were wrapped in tinfoil and | ||||
167 | stored at -80\uf0b0C for later analysis using a COSTECH ECS 4010 | ||||
168 | Elemental Analyser coupled with a continuous-flow DeltaPlus XP Isotope | ||||
169 | Ratio Mass Spectrometer (IRMS, Thermo Electron Co) at the University | ||||
170 | of British Columbia following the protocol by Glaz et al. (2014). ", | ||||
171 | "methodUrl": "", | ||||
172 | "name": "particulate-orgcarbon", | 112 | "name": "particulate-orgcarbon", | ||
173 | "notes": "These datasets include measurements of particulate organic | 113 | "notes": "These datasets include measurements of particulate organic | ||
174 | and total carbon of:\r\n\r\n- Bottom-ice algal communities and | 114 | and total carbon of:\r\n\r\n- Bottom-ice algal communities and | ||
175 | Melosira arctica\r\n\r\n- Phytoplankton and melt pond | 115 | Melosira arctica\r\n\r\n- Phytoplankton and melt pond | ||
176 | communities.\r\n\r\nData were collected in Hudson Bay and rivers | 116 | communities.\r\n\r\nData were collected in Hudson Bay and rivers | ||
177 | exiting into the Bay during the BaySys cruise in June/ July | 117 | exiting into the Bay during the BaySys cruise in June/ July | ||
178 | 2018.\r\n", | 118 | 2018.\r\n", | ||
179 | "num_resources": 4, | 119 | "num_resources": 4, | ||
180 | "num_tags": 7, | 120 | "num_tags": 7, | ||
181 | "organization": { | 121 | "organization": { | ||
182 | "approval_status": "approved", | 122 | "approval_status": "approved", | ||
183 | "created": "2017-07-21T13:15:49.935872", | 123 | "created": "2017-07-21T13:15:49.935872", | ||
184 | "description": "The Centre for Earth Observation Science (CEOS) | 124 | "description": "The Centre for Earth Observation Science (CEOS) | ||
185 | was established in 1994 with a mandate to research, preserve and | 125 | was established in 1994 with a mandate to research, preserve and | ||
186 | communicate knowledge of Earth system processes using the technologies | 126 | communicate knowledge of Earth system processes using the technologies | ||
187 | of Earth Observation Science. Research is multidisciplinary and | 127 | of Earth Observation Science. Research is multidisciplinary and | ||
188 | collaborative seeking to understand the complex interrelationships | 128 | collaborative seeking to understand the complex interrelationships | ||
189 | between elements of Earth systems, and how these systems will likely | 129 | between elements of Earth systems, and how these systems will likely | ||
190 | respond to climate change. Although researchers have worked in many | 130 | respond to climate change. Although researchers have worked in many | ||
191 | 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 | ||
192 | 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 | ||
193 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | 133 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | ||
194 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | 134 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | ||
195 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | 135 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | ||
196 | 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 | ||
197 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | 137 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | ||
198 | preservation, archaeo-geophysics, permafrost degredation, lithic | 138 | preservation, archaeo-geophysics, permafrost degredation, lithic | ||
199 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | 139 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | ||
200 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | 140 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | ||
201 | ethnographic analogy, traditional knowledge, climate change and | 141 | ethnographic analogy, traditional knowledge, climate change and | ||
202 | northern heritage resource management.\r\n\r\nAtmospheric | 142 | northern heritage resource management.\r\n\r\nAtmospheric | ||
203 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | 143 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | ||
204 | extreme weather, circulation, eddy correlations, polar vortex, | 144 | extreme weather, circulation, eddy correlations, polar vortex, | ||
205 | climate, teleconnections, geophysical fluid dynamics, flux and energy | 145 | climate, teleconnections, geophysical fluid dynamics, flux and energy | ||
206 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | 146 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | ||
207 | albedo feedback, cloud radiative forcing, pCO2. | 147 | albedo feedback, cloud radiative forcing, pCO2. | ||
208 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | 148 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | ||
209 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | 149 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | ||
210 | metals, minerals, hydrocarbons, brine processes, otolith | 150 | metals, minerals, hydrocarbons, brine processes, otolith | ||
211 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | 151 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | ||
212 | trace metals, PAHs, source, transport, transformation, pathways, | 152 | trace metals, PAHs, source, transport, transformation, pathways, | ||
213 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | 153 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | ||
214 | Observation Science: Active and passive microwave, LiDAR, EM | 154 | Observation Science: Active and passive microwave, LiDAR, EM | ||
215 | induction, spatial-temporal analysis, forward and inverse scattering | 155 | induction, spatial-temporal analysis, forward and inverse scattering | ||
216 | models, complex permittivity, ocean colour, ocean surface roughness, | 156 | models, complex permittivity, ocean colour, ocean surface roughness, | ||
217 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | 157 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | ||
218 | Biophysical processes, primary production; ice algae, ice | 158 | Biophysical processes, primary production; ice algae, ice | ||
219 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | 159 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | ||
220 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | 160 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | ||
221 | transport, nutrient transport, contaminants, landscape processes, | 161 | transport, nutrient transport, contaminants, landscape processes, | ||
222 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | 162 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | ||
223 | whales, habitat, conservation, satellite telemetry, distribution, | 163 | whales, habitat, conservation, satellite telemetry, distribution, | ||
224 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | 164 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | ||
225 | Simulation of sea ice and oceanic regional processes, Nucleus for | 165 | Simulation of sea ice and oceanic regional processes, Nucleus for | ||
226 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | 166 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | ||
227 | interactions, hind cast simulations and projections for sea ice state | 167 | interactions, hind cast simulations and projections for sea ice state | ||
228 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | 168 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | ||
229 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | 169 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | ||
230 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | 170 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | ||
231 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | 171 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | ||
232 | processes, extreme ice features and hazards, snow, ridges, | 172 | processes, extreme ice features and hazards, snow, ridges, | ||
233 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | 173 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | ||
234 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | 174 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | ||
235 | hunting, food security, sea ice use, community-based research, | 175 | hunting, food security, sea ice use, community-based research, | ||
236 | community-based monitoring, two ways of knowing.", | 176 | community-based monitoring, two ways of knowing.", | ||
237 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 177 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
238 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | 178 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | ||
239 | "is_organization": true, | 179 | "is_organization": true, | ||
240 | "name": "ceos", | 180 | "name": "ceos", | ||
241 | "state": "active", | 181 | "state": "active", | ||
242 | "title": "Centre for Earth Observation Science", | 182 | "title": "Centre for Earth Observation Science", | ||
243 | "type": "organization" | 183 | "type": "organization" | ||
244 | }, | 184 | }, | ||
245 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 185 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
246 | "private": false, | 186 | "private": false, | ||
n | n | 187 | "projectImage": "", | ||
247 | "publications": [ | 188 | "publications": [ | ||
248 | { | 189 | { | ||
249 | "RelatedIdentifier": "http://hdl.handle.net/1993/35352", | 190 | "RelatedIdentifier": "http://hdl.handle.net/1993/35352", | ||
250 | "ResourceTypeGeneral": "Dissertation", | 191 | "ResourceTypeGeneral": "Dissertation", | ||
251 | "name": "Light propagation in ice-covered environments: Seasonal | 192 | "name": "Light propagation in ice-covered environments: Seasonal | ||
252 | progression and biological implications. PhD thesis.", | 193 | progression and biological implications. PhD thesis.", | ||
253 | "relatedIdentifierType": "", | 194 | "relatedIdentifierType": "", | ||
254 | "relationType": "Describes", | 195 | "relationType": "Describes", | ||
255 | "resourceType": "Online Resource" | 196 | "resourceType": "Online Resource" | ||
256 | }, | 197 | }, | ||
257 | { | 198 | { | ||
258 | "RelatedIdentifier": "doi.org/10.1525/elementa.2020.00160", | 199 | "RelatedIdentifier": "doi.org/10.1525/elementa.2020.00160", | ||
259 | "ResourceTypeGeneral": "JournalArticle", | 200 | "ResourceTypeGeneral": "JournalArticle", | ||
260 | "name": "Environmental drivers of spring primary production in | 201 | "name": "Environmental drivers of spring primary production in | ||
261 | Hudson Bay", | 202 | Hudson Bay", | ||
262 | "relatedIdentifierType": "DOI", | 203 | "relatedIdentifierType": "DOI", | ||
263 | "relationType": "", | 204 | "relationType": "", | ||
264 | "resourceType": "Online Resource" | 205 | "resourceType": "Online Resource" | ||
265 | } | 206 | } | ||
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