Changes
On June 20, 2022 at 2:45:37 PM CDT, kelsey-friesenumanitoba-ca:
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Changed title to Ice Covered Ecosystems - CAMbridge Bay Process Studies (previously Ice Covered Ecosystems - CAMbridge bay Process Studies (ICE-CAMPS))
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Updated description of Ice Covered Ecosystems - CAMbridge Bay Process Studies from
Sea ice algae are an important contributor of primary production in the Arctic ecosystem. Within the bottom-ice environment, access to nutrients from the underlying ocean is a major factor controlling production, phenology, and taxonomic composition of ice algae. Previous studies have demonstrated that tides and currents play an important role in driving the flux of nutrients to bottom-ice algal communities when biological demand during the spring bloom is high. In this study we investigate how surface currents under land-fast, first-year ice influence nutrient supply based on stoichiometric composition, algal chlorophyll a biomass, and species composition during spring 2016, in Dease Strait, Nunavut. Stronger water dynamics over a shoaled and constricted strait dominated by tidal currents (tidal strait) supported turbulent flow more than 85% of the deployment duration in comparison to outside the tidal strait in an embayment where turbulent flow was only evidenced a small percentage (< 15%) of the time. The system appeared to be nitrate-depleted with surface water concentrations averaging 1.3 mol L–1. Increased currents were correlated significantly with a decrease in ice thickness and an increase in ice algal chlorophyll a. Furthermore, pennate diatoms dominated the ice algal community abundance with greater contribution within the strait where currents were greatest. These observations all support the existence of a greater nutrient flux to the ice bottom where currents increased towards the center of the tidal strait, resulting in an increase of bottom ice chlorophyll a biomass by 5–7 times relative to that outside of the strait. Therefore, expanding beyond the long identified biological hotspots of open water polynyas, this paper presents the argument for newly identified hotspots in regions of strong sub-ice currents but persistent ice covers, so called “invisible polynyas”.
to***Ice Covered Ecosystems - CAMbridge bay Process Studies (ICE-CAMPS)*** Sea ice algae are an important contributor of primary production in the Arctic ecosystem. Within the bottom-ice environment, access to nutrients from the underlying ocean is a major factor controlling production, phenology, and taxonomic composition of ice algae. Previous studies have demonstrated that tides and currents play an important role in driving the flux of nutrients to bottom-ice algal communities when biological demand during the spring bloom is high. In this study we investigate how surface currents under land-fast, first-year ice influence nutrient supply based on stoichiometric composition, algal chlorophyll a biomass, and species composition during spring 2016, in Dease Strait, Nunavut. Stronger water dynamics over a shoaled and constricted strait dominated by tidal currents (tidal strait) supported turbulent flow more than 85% of the deployment duration in comparison to outside the tidal strait in an embayment where turbulent flow was only evidenced a small percentage (< 15%) of the time. The system appeared to be nitrate-depleted with surface water concentrations averaging 1.3 mol L–1. Increased currents were correlated significantly with a decrease in ice thickness and an increase in ice algal chlorophyll a. Furthermore, pennate diatoms dominated the ice algal community abundance with greater contribution within the strait where currents were greatest. These observations all support the existence of a greater nutrient flux to the ice bottom where currents increased towards the center of the tidal strait, resulting in an increase of bottom ice chlorophyll a biomass by 5–7 times relative to that outside of the strait. Therefore, expanding beyond the long identified biological hotspots of open water polynyas, this paper presents the argument for newly identified hotspots in regions of strong sub-ice currents but persistent ice covers, so called “invisible polynyas”.
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Changed value of field
related_datasets
to["610116fd-d761-4d07-b1de-172447f8e4eb", "47fe6adb-6565-4e60-be63-33b3a47b2a42", "a4bb65b0-f3a5-46e9-8b7a-dbe6b9205d1b"]
in Ice Covered Ecosystems - CAMbridge Bay Process Studies
f | 1 | { | f | 1 | { |
2 | "Creator": "Creator", | 2 | "Creator": "Creator", | ||
3 | "GeoLocation": "Dease Straight,Nunavut", | 3 | "GeoLocation": "Dease Straight,Nunavut", | ||
4 | "Identifier": "10.5203/pb1d-a512", | 4 | "Identifier": "10.5203/pb1d-a512", | ||
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-ShareAlike 4.0 | 10 | "Rights": "Creative Commons Attribution-ShareAlike 4.0 | ||
11 | International", | 11 | International", | ||
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 | "author": null, | 23 | "author": null, | ||
24 | "author_email": null, | 24 | "author_email": null, | ||
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35 | "citation": "", | 35 | "citation": "", | ||
36 | "contributorType": "DataCurator", | 36 | "contributorType": "DataCurator", | ||
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38 | "descriptionType": "Abstract", | 38 | "descriptionType": "Abstract", | ||
39 | "endDateType": "Other", | 39 | "endDateType": "Other", | ||
n | 40 | "groups": [ | n | 40 | "groups": [], |
41 | { | ||||
42 | "description": "The cryosphere encompasses all the parts of the | ||||
43 | Earth system where water is in solid form, including ice sheets, ice | ||||
44 | shelves, glaciers, snow cover, permafrost (frozen ground), sea ice, | ||||
45 | and river and lake ice. The cryosphere exerts an important influence | ||||
46 | on Earth\u2019s climate. \r\n\r\nIn CEOS, research themes include | ||||
47 | biogeochemistry, glaciology, Ice-associated biology, sea ice | ||||
48 | geophysics and trace metals and contaminants", | ||||
49 | "display_name": "Cryosphere", | ||||
50 | "id": "3707ff10-6424-4858-9ec9-7d67b38831b3", | ||||
51 | "image_display_url": | ||||
52 | loads/group/2021-11-01-152857.585996C3SindicatorscryosphereFig10.png", | ||||
53 | "name": "cryosphere", | ||||
54 | "title": "Cryosphere" | ||||
55 | }, | ||||
56 | { | ||||
57 | "description": "Features and characteristics of salt water | ||||
58 | bodies.\r\n\r\nIn CEOS, related research themes include | ||||
59 | biogeochemistry, modelling, marine mammals, oil spill response, | ||||
60 | physical oceanography, remote sensing and technology and trace metals | ||||
61 | and contaminants", | ||||
62 | "display_name": "Marine", | ||||
63 | "id": "98238b1c-5be8-41ad-8c6e-74cdc4f5f369", | ||||
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65 | ata/uploads/group/2021-10-31-211516.365746ofinspireoceanographic.svg", | ||||
66 | "name": "marine", | ||||
67 | "title": "Marine" | ||||
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72 | "keywords": "Arctic,Biomass,Chlorophyll,Diatoms,Ice algae,Ice | 43 | "keywords": "Arctic,Biomass,Chlorophyll,Diatoms,Ice algae,Ice | ||
73 | cores,Lipid,Nutrients,Particulate organic carbon,Photosynthetically | 44 | cores,Lipid,Nutrients,Particulate organic carbon,Photosynthetically | ||
74 | available radiation,Taxonomy,Upwelling", | 45 | available radiation,Taxonomy,Upwelling", | ||
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80 | "maintainer_email": null, | 51 | "maintainer_email": null, | ||
81 | "metadata_created": "2022-03-01T17:13:28.874800", | 52 | "metadata_created": "2022-03-01T17:13:28.874800", | ||
n | 82 | "metadata_modified": "2022-03-08T17:03:44.702082", | n | 53 | "metadata_modified": "2022-06-20T19:45:36.956288", |
83 | "name": "ice-camps", | 54 | "name": "ice-camps", | ||
n | 84 | "notes": "Sea ice algae are an important contributor of primary | n | 55 | "notes": "***Ice Covered Ecosystems - CAMbridge bay Process Studies |
56 | (ICE-CAMPS)***\r\n\r\nSea ice algae are an important contributor of | ||||
85 | production in the Arctic ecosystem. Within the bottom-ice environment, | 57 | primary production in the Arctic ecosystem. Within the bottom-ice | ||
86 | access to nutrients from the underlying ocean is a major factor | 58 | environment, access to nutrients from the underlying ocean is a major | ||
87 | controlling production, phenology, and taxonomic composition of ice | 59 | factor controlling production, phenology, and taxonomic composition of | ||
88 | algae. Previous studies have demonstrated that tides and currents play | 60 | ice algae. Previous studies have demonstrated that tides and currents | ||
89 | an important role in driving the flux of nutrients to bottom-ice algal | 61 | play an important role in driving the flux of nutrients to bottom-ice | ||
90 | communities when biological demand during the spring bloom is high. In | 62 | algal communities when biological demand during the spring bloom is | ||
91 | this study we investigate how surface currents under land-fast, | 63 | high. In this study we investigate how surface currents under | ||
92 | first-year ice influence nutrient supply based on stoichiometric | 64 | land-fast, first-year ice influence nutrient supply based on | ||
93 | composition, algal chlorophyll a biomass, and species composition | 65 | stoichiometric composition, algal chlorophyll a biomass, and species | ||
94 | during spring 2016, in Dease Strait, Nunavut. Stronger water dynamics | 66 | composition during spring 2016, in Dease Strait, Nunavut. Stronger | ||
95 | over a shoaled and constricted strait dominated by tidal currents | 67 | water dynamics over a shoaled and constricted strait dominated by | ||
96 | (tidal strait) supported turbulent flow more than 85% of the | 68 | tidal currents (tidal strait) supported turbulent flow more than 85% | ||
97 | deployment duration in comparison to outside the tidal strait in an | 69 | of the deployment duration in comparison to outside the tidal strait | ||
98 | embayment where turbulent flow was only evidenced a small percentage | 70 | in an embayment where turbulent flow was only evidenced a small | ||
99 | (< 15%) of the time. The system appeared to be nitrate-depleted with | 71 | percentage (< 15%) of the time. The system appeared to be | ||
100 | surface water concentrations averaging 1.3 \uf06dmol L\u20131. | 72 | nitrate-depleted with surface water concentrations averaging 1.3 | ||
101 | Increased currents were correlated significantly with a decrease in | 73 | \uf06dmol L\u20131. Increased currents were correlated significantly | ||
102 | ice thickness and an increase in ice algal chlorophyll a. Furthermore, | 74 | with a decrease in ice thickness and an increase in ice algal | ||
103 | pennate diatoms dominated the ice algal community abundance with | 75 | chlorophyll a. Furthermore, pennate diatoms dominated the ice algal | ||
104 | greater contribution within the strait where currents were greatest. | 76 | community abundance with greater contribution within the strait where | ||
105 | These observations all support the existence of a greater nutrient | 77 | currents were greatest. These observations all support the existence | ||
106 | flux to the ice bottom where currents increased towards the center of | 78 | of a greater nutrient flux to the ice bottom where currents increased | ||
107 | the tidal strait, resulting in an increase of bottom ice chlorophyll a | 79 | towards the center of the tidal strait, resulting in an increase of | ||
108 | biomass by 5\u20137 times relative to that outside of the strait. | 80 | bottom ice chlorophyll a biomass by 5\u20137 times relative to that | ||
109 | Therefore, expanding beyond the long identified biological hotspots of | 81 | outside of the strait. Therefore, expanding beyond the long identified | ||
110 | open water polynyas, this paper presents the argument for newly | 82 | biological hotspots of open water polynyas, this paper presents the | ||
111 | identified hotspots in regions of strong sub-ice currents but | 83 | argument for newly identified hotspots in regions of strong sub-ice | ||
112 | persistent ice covers, so called \u201cinvisible polynyas\u201d.", | 84 | currents but persistent ice covers, so called \u201cinvisible | ||
85 | polynyas\u201d.", | ||||
113 | "num_resources": 0, | 86 | "num_resources": 0, | ||
114 | "num_tags": 12, | 87 | "num_tags": 12, | ||
115 | "organization": { | 88 | "organization": { | ||
116 | "approval_status": "approved", | 89 | "approval_status": "approved", | ||
117 | "created": "2017-07-21T13:15:49.935872", | 90 | "created": "2017-07-21T13:15:49.935872", | ||
118 | "description": "The Centre for Earth Observation Science (CEOS) | 91 | "description": "The Centre for Earth Observation Science (CEOS) | ||
119 | was established in 1994 with a mandate to research, preserve and | 92 | was established in 1994 with a mandate to research, preserve and | ||
120 | communicate knowledge of Earth system processes using the technologies | 93 | communicate knowledge of Earth system processes using the technologies | ||
121 | of Earth Observation Science. Research is multidisciplinary and | 94 | of Earth Observation Science. Research is multidisciplinary and | ||
122 | collaborative seeking to understand the complex interrelationships | 95 | collaborative seeking to understand the complex interrelationships | ||
123 | between elements of Earth systems, and how these systems will likely | 96 | between elements of Earth systems, and how these systems will likely | ||
124 | respond to climate change. Although researchers have worked in many | 97 | respond to climate change. Although researchers have worked in many | ||
125 | regions, the Arctic marine system has always been a unifying focus of | 98 | regions, the Arctic marine system has always been a unifying focus of | ||
126 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | 99 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | ||
127 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | 100 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | ||
128 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | 101 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | ||
129 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | 102 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | ||
130 | existing research activity are divided among key themes:\r\n\r\nArctic | 103 | existing research activity are divided among key themes:\r\n\r\nArctic | ||
131 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | 104 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | ||
132 | preservation, archaeo-geophysics, permafrost degredation, lithic | 105 | preservation, archaeo-geophysics, permafrost degredation, lithic | ||
133 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | 106 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | ||
134 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | 107 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | ||
135 | ethnographic analogy, traditional knowledge, climate change and | 108 | ethnographic analogy, traditional knowledge, climate change and | ||
136 | northern heritage resource management.\r\n\r\nAtmospheric | 109 | northern heritage resource management.\r\n\r\nAtmospheric | ||
137 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | 110 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | ||
138 | extreme weather, circulation, eddy correlations, polar vortex, | 111 | extreme weather, circulation, eddy correlations, polar vortex, | ||
139 | climate, teleconnections, geophysical fluid dynamics, flux and energy | 112 | climate, teleconnections, geophysical fluid dynamics, flux and energy | ||
140 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | 113 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | ||
141 | albedo feedback, cloud radiative forcing, pCO2. | 114 | albedo feedback, cloud radiative forcing, pCO2. | ||
142 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | 115 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | ||
143 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | 116 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | ||
144 | metals, minerals, hydrocarbons, brine processes, otolith | 117 | metals, minerals, hydrocarbons, brine processes, otolith | ||
145 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | 118 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | ||
146 | trace metals, PAHs, source, transport, transformation, pathways, | 119 | trace metals, PAHs, source, transport, transformation, pathways, | ||
147 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | 120 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | ||
148 | Observation Science: Active and passive microwave, LiDAR, EM | 121 | Observation Science: Active and passive microwave, LiDAR, EM | ||
149 | induction, spatial-temporal analysis, forward and inverse scattering | 122 | induction, spatial-temporal analysis, forward and inverse scattering | ||
150 | models, complex permittivity, ocean colour, ocean surface roughness, | 123 | models, complex permittivity, ocean colour, ocean surface roughness, | ||
151 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | 124 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | ||
152 | Biophysical processes, primary production; ice algae, ice | 125 | Biophysical processes, primary production; ice algae, ice | ||
153 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | 126 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | ||
154 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | 127 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | ||
155 | transport, nutrient transport, contaminants, landscape processes, | 128 | transport, nutrient transport, contaminants, landscape processes, | ||
156 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | 129 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | ||
157 | whales, habitat, conservation, satellite telemetry, distribution, | 130 | whales, habitat, conservation, satellite telemetry, distribution, | ||
158 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | 131 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | ||
159 | Simulation of sea ice and oceanic regional processes, Nucleus for | 132 | Simulation of sea ice and oceanic regional processes, Nucleus for | ||
160 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | 133 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | ||
161 | interactions, hind cast simulations and projections for sea ice state | 134 | interactions, hind cast simulations and projections for sea ice state | ||
162 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | 135 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | ||
163 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | 136 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | ||
164 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | 137 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | ||
165 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | 138 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | ||
166 | processes, extreme ice features and hazards, snow, ridges, | 139 | processes, extreme ice features and hazards, snow, ridges, | ||
167 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | 140 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | ||
168 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | 141 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | ||
169 | hunting, food security, sea ice use, community-based research, | 142 | hunting, food security, sea ice use, community-based research, | ||
170 | community-based monitoring, two ways of knowing.", | 143 | community-based monitoring, two ways of knowing.", | ||
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173 | "is_organization": true, | 146 | "is_organization": true, | ||
n | 174 | "name": "ceos2", | n | 147 | "name": "ceos", |
175 | "state": "active", | 148 | "state": "active", | ||
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177 | "type": "organization" | 150 | "type": "organization" | ||
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180 | "principalInvestigators": [ | 153 | "principalInvestigators": [ | ||
181 | { | 154 | { | ||
182 | "affiliation": "Centre for Earth Observation Science - | 155 | "affiliation": "Centre for Earth Observation Science - | ||
183 | University of Manitoba", | 156 | University of Manitoba", | ||
184 | "creatorName": "Mundy, C.J", | 157 | "creatorName": "Mundy, C.J", | ||
185 | "email": "cj.mundy@umanitoba.ca", | 158 | "email": "cj.mundy@umanitoba.ca", | ||
186 | "nameIdentifier": "", | 159 | "nameIdentifier": "", | ||
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192 | Science - University of Manitoba", | 165 | Science - University of Manitoba", | ||
193 | "projectDataCuratorEmail": "laura.dalman@umanitoba.ca", | 166 | "projectDataCuratorEmail": "laura.dalman@umanitoba.ca", | ||
194 | "projectDataCuratorName": "Dalman, Laura", | 167 | "projectDataCuratorName": "Dalman, Laura", | ||
195 | "projectEndDate": "", | 168 | "projectEndDate": "", | ||
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197 | "projectStartDate": "2016-05-06", | 170 | "projectStartDate": "2016-05-06", | ||
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212 | "researchProgramName": "ICE-CAMPS", | 186 | "researchProgramName": "ICE-CAMPS", | ||
213 | "resources": [], | 187 | "resources": [], | ||
214 | "rightsIdentifier": "CC-BY-SA-4.0", | 188 | "rightsIdentifier": "CC-BY-SA-4.0", | ||
215 | "rightsIdentifierScheme": "SPDX", | 189 | "rightsIdentifierScheme": "SPDX", | ||
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223 | "status": "Complete", | 197 | "status": "Complete", | ||
224 | "subjectScheme": "Polor Data Catalogue", | 198 | "subjectScheme": "Polor Data Catalogue", | ||
225 | "tags": [ | 199 | "tags": [ | ||
226 | { | 200 | { | ||
227 | "display_name": "Arctic", | 201 | "display_name": "Arctic", | ||
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233 | { | 207 | { | ||
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240 | { | 214 | { | ||
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242 | "id": "d0ae06c6-a989-4560-bf42-69c0be1d4de9", | 216 | "id": "d0ae06c6-a989-4560-bf42-69c0be1d4de9", | ||
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244 | "state": "active", | 218 | "state": "active", | ||
245 | "vocabulary_id": null | 219 | "vocabulary_id": null | ||
246 | }, | 220 | }, | ||
247 | { | 221 | { | ||
248 | "display_name": "Diatoms", | 222 | "display_name": "Diatoms", | ||
249 | "id": "abafcc3b-a054-47f4-9880-5636ac498ff4", | 223 | "id": "abafcc3b-a054-47f4-9880-5636ac498ff4", | ||
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251 | "state": "active", | 225 | "state": "active", | ||
252 | "vocabulary_id": null | 226 | "vocabulary_id": null | ||
253 | }, | 227 | }, | ||
254 | { | 228 | { | ||
255 | "display_name": "Ice algae", | 229 | "display_name": "Ice algae", | ||
256 | "id": "17ef24c8-9d33-4b66-86a3-593c36ceb4bb", | 230 | "id": "17ef24c8-9d33-4b66-86a3-593c36ceb4bb", | ||
257 | "name": "Ice algae", | 231 | "name": "Ice algae", | ||
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259 | "vocabulary_id": null | 233 | "vocabulary_id": null | ||
260 | }, | 234 | }, | ||
261 | { | 235 | { | ||
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263 | "id": "6f4d4013-ab55-4806-a166-a6f201bbc6d1", | 237 | "id": "6f4d4013-ab55-4806-a166-a6f201bbc6d1", | ||
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265 | "state": "active", | 239 | "state": "active", | ||
266 | "vocabulary_id": null | 240 | "vocabulary_id": null | ||
267 | }, | 241 | }, | ||
268 | { | 242 | { | ||
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272 | "state": "active", | 246 | "state": "active", | ||
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277 | "id": "44265c2a-a639-4779-9481-478b0d6262ac", | 251 | "id": "44265c2a-a639-4779-9481-478b0d6262ac", | ||
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282 | { | 256 | { | ||
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294 | "vocabulary_id": null | 268 | "vocabulary_id": null | ||
295 | }, | 269 | }, | ||
296 | { | 270 | { | ||
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301 | "vocabulary_id": null | 275 | "vocabulary_id": null | ||
302 | }, | 276 | }, | ||
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316 | (ICE-CAMPS)", | ||||
317 | "type": "project", | 290 | "type": "project", | ||
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