Changes
On March 11, 2022 at 11:04:11 AM CST, Yanique Campbell:
-
Added resource Algal pigments - ice to Algal pigments in ice and water
f | 1 | { | f | 1 | { |
2 | "Creator": "Creator", | 2 | "Creator": "Creator", | ||
3 | "Date": "2020-11-16", | 3 | "Date": "2020-11-16", | ||
4 | "IdentifierType": "DOI", | 4 | "IdentifierType": "DOI", | ||
5 | "PublicationYear": "2022", | 5 | "PublicationYear": "2022", | ||
6 | "Publisher": "CanWIN", | 6 | "Publisher": "CanWIN", | ||
7 | "RelatedIdentifierType": "URL", | 7 | "RelatedIdentifierType": "URL", | ||
8 | "RelationType": "IsSupplementTo", | 8 | "RelationType": "IsSupplementTo", | ||
9 | "ResourceType": "algal pigments", | 9 | "ResourceType": "algal pigments", | ||
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": "", | 23 | "activityCollectionType": "", | ||
24 | "analyticalInstrument": [ | 24 | "analyticalInstrument": [ | ||
25 | { | 25 | { | ||
26 | "Title": "", | 26 | "Title": "", | ||
27 | "analyticalInstrumentIdentifier": "", | 27 | "analyticalInstrumentIdentifier": "", | ||
28 | "identifierType": "", | 28 | "identifierType": "", | ||
29 | "name": "", | 29 | "name": "", | ||
30 | "titleType": "Alternative Title" | 30 | "titleType": "Alternative Title" | ||
31 | } | 31 | } | ||
32 | ], | 32 | ], | ||
33 | "analyticalMethodName": "Measurement of algal pigments with HPLC", | 33 | "analyticalMethodName": "Measurement of algal pigments with HPLC", | ||
34 | "author": null, | 34 | "author": null, | ||
35 | "author_email": null, | 35 | "author_email": null, | ||
36 | "award": [ | 36 | "award": [ | ||
37 | { | 37 | { | ||
38 | "awardTitle": "", | 38 | "awardTitle": "", | ||
39 | "awardURI": "" | 39 | "awardURI": "" | ||
40 | } | 40 | } | ||
41 | ], | 41 | ], | ||
42 | "campaignEndDate": "", | 42 | "campaignEndDate": "", | ||
43 | "campaignStartDate": "", | 43 | "campaignStartDate": "", | ||
44 | "comments": "", | 44 | "comments": "", | ||
45 | "contributorName": "Matthes, Lisa. C", | 45 | "contributorName": "Matthes, Lisa. C", | ||
46 | "contributorType": "DataCurator", | 46 | "contributorType": "DataCurator", | ||
47 | "contributors": [ | 47 | "contributors": [ | ||
48 | { | 48 | { | ||
49 | "affiliation": "Centre for Earth Observation Science - | 49 | "affiliation": "Centre for Earth Observation Science - | ||
50 | University of Manitoba", | 50 | University of Manitoba", | ||
51 | "contributorName": "Mundy, CJ", | 51 | "contributorName": "Mundy, CJ", | ||
52 | "contributorType": "Supervisor", | 52 | "contributorType": "Supervisor", | ||
53 | "email": "cj.mundy@umanitoba.ca", | 53 | "email": "cj.mundy@umanitoba.ca", | ||
54 | "nameIdentifier": "" | 54 | "nameIdentifier": "" | ||
55 | }, | 55 | }, | ||
56 | { | 56 | { | ||
57 | "affiliation": "Centre for Earth Observation Science - | 57 | "affiliation": "Centre for Earth Observation Science - | ||
58 | University of Manitoba", | 58 | University of Manitoba", | ||
59 | "contributorName": "Ehns, Jens", | 59 | "contributorName": "Ehns, Jens", | ||
60 | "contributorType": "Supervisor", | 60 | "contributorType": "Supervisor", | ||
61 | "email": "jens.ehn@umanitoba.ca", | 61 | "email": "jens.ehn@umanitoba.ca", | ||
62 | "nameIdentifier": "" | 62 | "nameIdentifier": "" | ||
63 | } | 63 | } | ||
64 | ], | 64 | ], | ||
65 | "creatorName": [ | 65 | "creatorName": [ | ||
66 | { | 66 | { | ||
67 | "author": "Matthes, Lisa. C", | 67 | "author": "Matthes, Lisa. C", | ||
68 | "creatorAffiliation": "Centre for Earth Observation Science - | 68 | "creatorAffiliation": "Centre for Earth Observation Science - | ||
69 | University of Manitoba", | 69 | University of Manitoba", | ||
70 | "creatorEmail": "matthesl@myumanitoba.ca", | 70 | "creatorEmail": "matthesl@myumanitoba.ca", | ||
71 | "creatorNameIdentifier": "0000-0002-7362-0417", | 71 | "creatorNameIdentifier": "0000-0002-7362-0417", | ||
72 | "nameIdentifierScheme": "ORCID", | 72 | "nameIdentifierScheme": "ORCID", | ||
73 | "nameType": "Personal", | 73 | "nameType": "Personal", | ||
74 | "schemeURI": "http://orcid.org/" | 74 | "schemeURI": "http://orcid.org/" | ||
75 | }, | 75 | }, | ||
76 | { | 76 | { | ||
77 | "author": "Mundy, CJ", | 77 | "author": "Mundy, CJ", | ||
78 | "creatorAffiliation": "Centre for Earth Observation Science - | 78 | "creatorAffiliation": "Centre for Earth Observation Science - | ||
79 | University of Manitoba", | 79 | University of Manitoba", | ||
80 | "creatorEmail": "cj.mundy@umanitoba.ca", | 80 | "creatorEmail": "cj.mundy@umanitoba.ca", | ||
81 | "creatorNameIdentifier": "", | 81 | "creatorNameIdentifier": "", | ||
82 | "nameType": "Personal" | 82 | "nameType": "Personal" | ||
83 | }, | 83 | }, | ||
84 | { | 84 | { | ||
85 | "author": "Ehns, Jens", | 85 | "author": "Ehns, Jens", | ||
86 | "creatorAffiliation": "Centre for Earth Observation Science - | 86 | "creatorAffiliation": "Centre for Earth Observation Science - | ||
87 | University of Manitoba", | 87 | University of Manitoba", | ||
88 | "creatorEmail": "jens.ehn@umanitoba.ca", | 88 | "creatorEmail": "jens.ehn@umanitoba.ca", | ||
89 | "creatorNameIdentifier": "", | 89 | "creatorNameIdentifier": "", | ||
90 | "nameType": "Personal" | 90 | "nameType": "Personal" | ||
91 | } | 91 | } | ||
92 | ], | 92 | ], | ||
93 | "creator_user_id": "59fdde0d-f226-4e5e-99ba-562b96c239a0", | 93 | "creator_user_id": "59fdde0d-f226-4e5e-99ba-562b96c239a0", | ||
94 | "dataCuratorAffiliation": "Centre for Earth Observation Science - | 94 | "dataCuratorAffiliation": "Centre for Earth Observation Science - | ||
95 | University of Manitoba", | 95 | University of Manitoba", | ||
96 | "dataCuratorEmail": "matthesl@myumanitoba.ca", | 96 | "dataCuratorEmail": "matthesl@myumanitoba.ca", | ||
97 | "datasetCitation": "", | 97 | "datasetCitation": "", | ||
98 | "datasetLevel": "", | 98 | "datasetLevel": "", | ||
99 | "datasetPublisher": "CanWIN", | 99 | "datasetPublisher": "CanWIN", | ||
100 | "dateType": "Updated", | 100 | "dateType": "Updated", | ||
101 | "descriptionType": "Abstract", | 101 | "descriptionType": "Abstract", | ||
102 | "embargoDate": "", | 102 | "embargoDate": "", | ||
103 | "endDate": "2018-06-24", | 103 | "endDate": "2018-06-24", | ||
104 | "endDateType": "Other", | 104 | "endDateType": "Other", | ||
105 | "frequency": "Not planned", | 105 | "frequency": "Not planned", | ||
106 | "funderIdentifierType": "", | 106 | "funderIdentifierType": "", | ||
107 | "funderName": "", | 107 | "funderName": "", | ||
108 | "funderSchemeURI": "", | 108 | "funderSchemeURI": "", | ||
109 | "groups": [ | 109 | "groups": [ | ||
110 | { | 110 | { | ||
111 | "description": "Features and characteristics of salt water | 111 | "description": "Features and characteristics of salt water | ||
112 | bodies.\r\n\r\nIn CEOS, related research themes include | 112 | bodies.\r\n\r\nIn CEOS, related research themes include | ||
113 | biogeochemistry, modelling, marine mammals, oil spill response, | 113 | biogeochemistry, modelling, marine mammals, oil spill response, | ||
114 | physical oceanography, remote sensing and technology and trace metals | 114 | physical oceanography, remote sensing and technology and trace metals | ||
115 | and contaminants", | 115 | and contaminants", | ||
116 | "display_name": "Marine", | 116 | "display_name": "Marine", | ||
117 | "id": "98238b1c-5be8-41ad-8c6e-74cdc4f5f369", | 117 | "id": "98238b1c-5be8-41ad-8c6e-74cdc4f5f369", | ||
118 | "image_display_url": | 118 | "image_display_url": | ||
119 | ata/uploads/group/2021-10-31-211516.365746ofinspireoceanographic.svg", | 119 | ata/uploads/group/2021-10-31-211516.365746ofinspireoceanographic.svg", | ||
120 | "name": "marine", | 120 | "name": "marine", | ||
121 | "title": "Marine" | 121 | "title": "Marine" | ||
122 | } | 122 | } | ||
123 | ], | 123 | ], | ||
124 | "id": "219b7f18-e6f4-452f-80bb-c457156bf845", | 124 | "id": "219b7f18-e6f4-452f-80bb-c457156bf845", | ||
125 | "isopen": false, | 125 | "isopen": false, | ||
126 | "keywords": "Hudson Bay,Ice algae,Biomass,Photoacclimation,Spring | 126 | "keywords": "Hudson Bay,Ice algae,Biomass,Photoacclimation,Spring | ||
127 | bloom,Primary production,Sea ice melt,HPLC", | 127 | bloom,Primary production,Sea ice melt,HPLC", | ||
128 | "kvSchemeURI": | 128 | "kvSchemeURI": | ||
129 | "https://www.polardata.ca/pdcinput/public/keywordlibrary", | 129 | "https://www.polardata.ca/pdcinput/public/keywordlibrary", | ||
130 | "laboratory": "Alfred Wegener Institute, Helmholtz Centre for Polar | 130 | "laboratory": "Alfred Wegener Institute, Helmholtz Centre for Polar | ||
131 | and Marine Research, Bremerhaven, Germany", | 131 | and Marine Research, Bremerhaven, Germany", | ||
132 | "licenceShemeURI": "https://spdx.org/licenses", | 132 | "licenceShemeURI": "https://spdx.org/licenses", | ||
133 | "licenceType": "Open", | 133 | "licenceType": "Open", | ||
134 | "license_id": null, | 134 | "license_id": null, | ||
135 | "license_title": null, | 135 | "license_title": null, | ||
136 | "maintainer": null, | 136 | "maintainer": null, | ||
137 | "maintainer_email": null, | 137 | "maintainer_email": null, | ||
138 | "metadata_created": "2022-03-11T17:03:18.644229", | 138 | "metadata_created": "2022-03-11T17:03:18.644229", | ||
n | 139 | "metadata_modified": "2022-03-11T17:03:18.644235", | n | 139 | "metadata_modified": "2022-03-11T17:04:11.257029", |
140 | "methodCitation": "", | 140 | "methodCitation": "", | ||
141 | "methodDescrioption": "**Ice core collection**\r\n\r\nThe 1-cm | 141 | "methodDescrioption": "**Ice core collection**\r\n\r\nThe 1-cm | ||
142 | bottom section of three ice cores were collected, pooled immediately | 142 | bottom section of three ice cores were collected, pooled immediately | ||
143 | in a dark isothermal container and melted in 0.2-\uf06dm filtered | 143 | in a dark isothermal container and melted in 0.2-\uf06dm filtered | ||
144 | seawater (FSW) at a ratio of 3:1 (three parts FSW, one part ice core | 144 | seawater (FSW) at a ratio of 3:1 (three parts FSW, one part ice core | ||
145 | volume) in the dark over 24 h to reduce osmotic stress.\r\n\r\n", | 145 | volume) in the dark over 24 h to reduce osmotic stress.\r\n\r\n", | ||
146 | "methodDescriptionType": "Methods", | 146 | "methodDescriptionType": "Methods", | ||
147 | "methodLink": "", | 147 | "methodLink": "", | ||
148 | "methodSummary": "The concentration of selected algal pigments was | 148 | "methodSummary": "The concentration of selected algal pigments was | ||
149 | determined by reverse-phase high-performance liquid chromatography | 149 | determined by reverse-phase high-performance liquid chromatography | ||
150 | (HPLC) after the cruise. For HPLC analysis, filters were stored in | 150 | (HPLC) after the cruise. For HPLC analysis, filters were stored in | ||
151 | 2-mL cryovials, wrapped in tinfoil and flash-frozen in liquid | 151 | 2-mL cryovials, wrapped in tinfoil and flash-frozen in liquid | ||
152 | nitrogen. Samples were then stored at -80\u2000C until analysis. | 152 | nitrogen. Samples were then stored at -80\u2000C until analysis. | ||
153 | Pigments were extracted in 1.5 mL 100% Acetone at -20\u2000C, | 153 | Pigments were extracted in 1.5 mL 100% Acetone at -20\u2000C, | ||
154 | homogenized (Precellys, Bertin Instruments) with glass beads and | 154 | homogenized (Precellys, Bertin Instruments) with glass beads and | ||
155 | centrifuged for 5 min at 12,500 rpm in a cooled centrifuge (\u2000C). | 155 | centrifuged for 5 min at 12,500 rpm in a cooled centrifuge (\u2000C). | ||
156 | The supernatant was filtered through 0.2-\u03bcm HPLC-filters and | 156 | The supernatant was filtered through 0.2-\u03bcm HPLC-filters and | ||
157 | samples were stored in Eppendorf tubes at -80\u2000C prior to | 157 | samples were stored in Eppendorf tubes at -80\u2000C prior to | ||
158 | analysis. Subsamples of the pigment extracts were measured with | 158 | analysis. Subsamples of the pigment extracts were measured with | ||
159 | reverse-phase HPLC with a VARIAN Microsorb-MV3 C8 column (4.6 mm x 100 | 159 | reverse-phase HPLC with a VARIAN Microsorb-MV3 C8 column (4.6 mm x 100 | ||
160 | mm), using HPLC-grade solvents (Merck), a Waters 1525 binary pump | 160 | mm), using HPLC-grade solvents (Merck), a Waters 1525 binary pump | ||
161 | equipped with an autosampler (OPTIMASTM), a Waters 2996 PDA | 161 | equipped with an autosampler (OPTIMASTM), a Waters 2996 PDA | ||
162 | (photodiode array detector) and the EMPOWER software. Chlorophyll, | 162 | (photodiode array detector) and the EMPOWER software. Chlorophyll, | ||
163 | derivate and carotenoid absorption peaks were detected at 440 nm, | 163 | derivate and carotenoid absorption peaks were detected at 440 nm, | ||
164 | while phaeopigments were detected at 410 nm. Pigments and derivates | 164 | while phaeopigments were detected at 410 nm. Pigments and derivates | ||
165 | were identified based on retention time and the spectral properties of | 165 | were identified based on retention time and the spectral properties of | ||
166 | external pigment standards.", | 166 | external pigment standards.", | ||
167 | "methodUrl": "", | 167 | "methodUrl": "", | ||
168 | "name": "algal-pigments-in-ice-and-water", | 168 | "name": "algal-pigments-in-ice-and-water", | ||
169 | "notes": "The dataset includes measurements of pigment | 169 | "notes": "The dataset includes measurements of pigment | ||
170 | concentrations of:\r\n\r\n- bottom-ice communities\r\n\r\n- melt | 170 | concentrations of:\r\n\r\n- bottom-ice communities\r\n\r\n- melt | ||
171 | ponds\r\n\r\nData was collected in Hudson Bay during the BaySys cruise | 171 | ponds\r\n\r\nData was collected in Hudson Bay during the BaySys cruise | ||
172 | in June/ July 2018. Pigment concentrations were determined with | 172 | in June/ July 2018. Pigment concentrations were determined with | ||
173 | reverse-phase high-performance liquid chromatography (HPLC). Pigment | 173 | reverse-phase high-performance liquid chromatography (HPLC). Pigment | ||
174 | concentrations of bottom-ice algal communities are estimated for | 174 | concentrations of bottom-ice algal communities are estimated for | ||
175 | volume and area.", | 175 | volume and area.", | ||
n | 176 | "num_resources": 0, | n | 176 | "num_resources": 1, |
177 | "num_tags": 8, | 177 | "num_tags": 8, | ||
178 | "organization": { | 178 | "organization": { | ||
179 | "approval_status": "approved", | 179 | "approval_status": "approved", | ||
180 | "created": "2017-07-21T13:15:49.935872", | 180 | "created": "2017-07-21T13:15:49.935872", | ||
181 | "description": "The Centre for Earth Observation Science (CEOS) | 181 | "description": "The Centre for Earth Observation Science (CEOS) | ||
182 | was established in 1994 with a mandate to research, preserve and | 182 | was established in 1994 with a mandate to research, preserve and | ||
183 | communicate knowledge of Earth system processes using the technologies | 183 | communicate knowledge of Earth system processes using the technologies | ||
184 | of Earth Observation Science. Research is multidisciplinary and | 184 | of Earth Observation Science. Research is multidisciplinary and | ||
185 | collaborative seeking to understand the complex interrelationships | 185 | collaborative seeking to understand the complex interrelationships | ||
186 | between elements of Earth systems, and how these systems will likely | 186 | between elements of Earth systems, and how these systems will likely | ||
187 | respond to climate change. Although researchers have worked in many | 187 | respond to climate change. Although researchers have worked in many | ||
188 | regions, the Arctic marine system has always been a unifying focus of | 188 | regions, the Arctic marine system has always been a unifying focus of | ||
189 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | 189 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | ||
190 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | 190 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | ||
191 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | 191 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | ||
192 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | 192 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | ||
193 | existing research activity are divided among key themes:\r\n\r\nArctic | 193 | existing research activity are divided among key themes:\r\n\r\nArctic | ||
194 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | 194 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | ||
195 | preservation, archaeo-geophysics, permafrost degredation, lithic | 195 | preservation, archaeo-geophysics, permafrost degredation, lithic | ||
196 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | 196 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | ||
197 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | 197 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | ||
198 | ethnographic analogy, traditional knowledge, climate change and | 198 | ethnographic analogy, traditional knowledge, climate change and | ||
199 | northern heritage resource management.\r\n\r\nAtmospheric | 199 | northern heritage resource management.\r\n\r\nAtmospheric | ||
200 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | 200 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | ||
201 | extreme weather, circulation, eddy correlations, polar vortex, | 201 | extreme weather, circulation, eddy correlations, polar vortex, | ||
202 | climate, teleconnections, geophysical fluid dynamics, flux and energy | 202 | climate, teleconnections, geophysical fluid dynamics, flux and energy | ||
203 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | 203 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | ||
204 | albedo feedback, cloud radiative forcing, pCO2. | 204 | albedo feedback, cloud radiative forcing, pCO2. | ||
205 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | 205 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | ||
206 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | 206 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | ||
207 | metals, minerals, hydrocarbons, brine processes, otolith | 207 | metals, minerals, hydrocarbons, brine processes, otolith | ||
208 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | 208 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | ||
209 | trace metals, PAHs, source, transport, transformation, pathways, | 209 | trace metals, PAHs, source, transport, transformation, pathways, | ||
210 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | 210 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | ||
211 | Observation Science: Active and passive microwave, LiDAR, EM | 211 | Observation Science: Active and passive microwave, LiDAR, EM | ||
212 | induction, spatial-temporal analysis, forward and inverse scattering | 212 | induction, spatial-temporal analysis, forward and inverse scattering | ||
213 | models, complex permittivity, ocean colour, ocean surface roughness, | 213 | models, complex permittivity, ocean colour, ocean surface roughness, | ||
214 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | 214 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | ||
215 | Biophysical processes, primary production; ice algae, ice | 215 | Biophysical processes, primary production; ice algae, ice | ||
216 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | 216 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | ||
217 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | 217 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | ||
218 | transport, nutrient transport, contaminants, landscape processes, | 218 | transport, nutrient transport, contaminants, landscape processes, | ||
219 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | 219 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | ||
220 | whales, habitat, conservation, satellite telemetry, distribution, | 220 | whales, habitat, conservation, satellite telemetry, distribution, | ||
221 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | 221 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | ||
222 | Simulation of sea ice and oceanic regional processes, Nucleus for | 222 | Simulation of sea ice and oceanic regional processes, Nucleus for | ||
223 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | 223 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | ||
224 | interactions, hind cast simulations and projections for sea ice state | 224 | interactions, hind cast simulations and projections for sea ice state | ||
225 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | 225 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | ||
226 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | 226 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | ||
227 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | 227 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | ||
228 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | 228 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | ||
229 | processes, extreme ice features and hazards, snow, ridges, | 229 | processes, extreme ice features and hazards, snow, ridges, | ||
230 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | 230 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | ||
231 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | 231 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | ||
232 | hunting, food security, sea ice use, community-based research, | 232 | hunting, food security, sea ice use, community-based research, | ||
233 | community-based monitoring, two ways of knowing.", | 233 | community-based monitoring, two ways of knowing.", | ||
234 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 234 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
235 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | 235 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | ||
236 | "is_organization": true, | 236 | "is_organization": true, | ||
237 | "name": "ceos2", | 237 | "name": "ceos2", | ||
238 | "state": "active", | 238 | "state": "active", | ||
239 | "title": "CEOS", | 239 | "title": "CEOS", | ||
240 | "type": "organization" | 240 | "type": "organization" | ||
241 | }, | 241 | }, | ||
242 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 242 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
243 | "private": false, | 243 | "private": false, | ||
244 | "publications": [ | 244 | "publications": [ | ||
245 | { | 245 | { | ||
246 | "RelatedIdentifier": "http://hdl.handle.net/1993/35352", | 246 | "RelatedIdentifier": "http://hdl.handle.net/1993/35352", | ||
247 | "ResourceTypeGeneral": "Dissertation", | 247 | "ResourceTypeGeneral": "Dissertation", | ||
248 | "name": "Light propagation in ice-covered environments: Seasonal | 248 | "name": "Light propagation in ice-covered environments: Seasonal | ||
249 | progression and biological implications. PhD thesis.", | 249 | progression and biological implications. PhD thesis.", | ||
250 | "relatedIdentifierType": "URL", | 250 | "relatedIdentifierType": "URL", | ||
251 | "relationType": "Describes", | 251 | "relationType": "Describes", | ||
252 | "resourceType": "Online Resource" | 252 | "resourceType": "Online Resource" | ||
253 | }, | 253 | }, | ||
254 | { | 254 | { | ||
255 | "RelatedIdentifier": "doi.org/10.1525/elementa.2020.00160", | 255 | "RelatedIdentifier": "doi.org/10.1525/elementa.2020.00160", | ||
256 | "ResourceTypeGeneral": "JournalArticle", | 256 | "ResourceTypeGeneral": "JournalArticle", | ||
257 | "name": "Environmental drivers of spring primary production in | 257 | "name": "Environmental drivers of spring primary production in | ||
258 | Hudson Bay", | 258 | Hudson Bay", | ||
259 | "relatedIdentifierType": "DOI", | 259 | "relatedIdentifierType": "DOI", | ||
260 | "relationType": "", | 260 | "relationType": "", | ||
261 | "resourceType": "Online Resource" | 261 | "resourceType": "Online Resource" | ||
262 | } | 262 | } | ||
263 | ], | 263 | ], | ||
264 | "relatedIdentifier": "", | 264 | "relatedIdentifier": "", | ||
265 | "related_campaigns": "[\"8333c717-31e7-46f6-8843-0e7aa6864269\"]", | 265 | "related_campaigns": "[\"8333c717-31e7-46f6-8843-0e7aa6864269\"]", | ||
266 | "related_deployments": "[]", | 266 | "related_deployments": "[]", | ||
267 | "related_instruments": "[]", | 267 | "related_instruments": "[]", | ||
268 | "related_platforms": "[\"57d47f61-57ca-4114-aba4-5c63587f6875\"]", | 268 | "related_platforms": "[\"57d47f61-57ca-4114-aba4-5c63587f6875\"]", | ||
269 | "related_programs": "[\"1e8f35a1-16b2-4c6f-b207-9a681ff02920\"]", | 269 | "related_programs": "[\"1e8f35a1-16b2-4c6f-b207-9a681ff02920\"]", | ||
270 | "related_publications": "[]", | 270 | "related_publications": "[]", | ||
271 | "relationships_as_object": [], | 271 | "relationships_as_object": [], | ||
272 | "relationships_as_subject": [], | 272 | "relationships_as_subject": [], | ||
273 | "resourceTypeGeneral": "Dataset", | 273 | "resourceTypeGeneral": "Dataset", | ||
t | 274 | "resources": [], | t | 274 | "resources": [ |
275 | { | ||||
276 | "cache_last_updated": null, | ||||
277 | "cache_url": null, | ||||
278 | "created": "2022-03-11T17:04:11.274679", | ||||
279 | "datastore_active": false, | ||||
280 | "datastore_contains_all_records_of_source_file": false, | ||||
281 | "description": "Pigment concentrations of bottom-ice communities | ||||
282 | in Hudson Bay.", | ||||
283 | "format": "", | ||||
284 | "hash": "", | ||||
285 | "id": "21e15411-9ede-4b15-8724-f0208c3d8e4d", | ||||
286 | "last_modified": "2022-03-11T17:04:11.211750", | ||||
287 | "metadata_modified": "2022-03-11T17:04:11.260213", | ||||
288 | "mimetype": null, | ||||
289 | "mimetype_inner": null, | ||||
290 | "name": "Algal pigments - ice", | ||||
291 | "package_id": "219b7f18-e6f4-452f-80bb-c457156bf845", | ||||
292 | "position": 0, | ||||
293 | "resCategory": "data", | ||||
294 | "resource_type": null, | ||||
295 | "size": 23589, | ||||
296 | "state": "active", | ||||
297 | "url": | ||||
298 | 5-8724-f0208c3d8e4d/download/baysys2018_hplc_algal_pigments_ice.xlsx", | ||||
299 | "url_type": "upload" | ||||
300 | } | ||||
301 | ], | ||||
275 | "rightsIdentifier": "CC-BY-4.0", | 302 | "rightsIdentifier": "CC-BY-4.0", | ||
276 | "rightsIdentifierScheme": "SPDX", | 303 | "rightsIdentifierScheme": "SPDX", | ||
277 | "rightsURI": "https://spdx.org/licenses/CC-BY-4.0.html", | 304 | "rightsURI": "https://spdx.org/licenses/CC-BY-4.0.html", | ||
278 | "sample_collection": [ | 305 | "sample_collection": [ | ||
279 | { | 306 | { | ||
280 | "instrumentTitle": "", | 307 | "instrumentTitle": "", | ||
281 | "methodTitle": "Ice core collection", | 308 | "methodTitle": "Ice core collection", | ||
282 | "standardized_instrument_name": "" | 309 | "standardized_instrument_name": "" | ||
283 | } | 310 | } | ||
284 | ], | 311 | ], | ||
285 | "spatial": | 312 | "spatial": | ||
286 | 686],[-96.5653278917,65.7796870686],[-96.5653278917,50.281440688]]]}", | 313 | 686],[-96.5653278917,65.7796870686],[-96.5653278917,50.281440688]]]}", | ||
287 | "spatial_regions": "hudson-bay", | 314 | "spatial_regions": "hudson-bay", | ||
288 | "startDate": "2018-06-06", | 315 | "startDate": "2018-06-06", | ||
289 | "startDateType": "Collected", | 316 | "startDateType": "Collected", | ||
290 | "state": "draft", | 317 | "state": "draft", | ||
291 | "status": "Planned", | 318 | "status": "Planned", | ||
292 | "subjectScheme": "Polar Data Catalogue", | 319 | "subjectScheme": "Polar Data Catalogue", | ||
293 | "supplementalResources": [ | 320 | "supplementalResources": [ | ||
294 | { | 321 | { | ||
295 | "RelatedIdentifier": "", | 322 | "RelatedIdentifier": "", | ||
296 | "ResourceTypeGeneral": "", | 323 | "ResourceTypeGeneral": "", | ||
297 | "name": "", | 324 | "name": "", | ||
298 | "relatedIdentifierType": "", | 325 | "relatedIdentifierType": "", | ||
299 | "relationship": "", | 326 | "relationship": "", | ||
300 | "resourceType": "Online Resource", | 327 | "resourceType": "Online Resource", | ||
301 | "seriesName": "" | 328 | "seriesName": "" | ||
302 | } | 329 | } | ||
303 | ], | 330 | ], | ||
304 | "tags": [ | 331 | "tags": [ | ||
305 | { | 332 | { | ||
306 | "display_name": "Biomass", | 333 | "display_name": "Biomass", | ||
307 | "id": "fc309547-46ea-4854-bc33-9f5835046d41", | 334 | "id": "fc309547-46ea-4854-bc33-9f5835046d41", | ||
308 | "name": "Biomass", | 335 | "name": "Biomass", | ||
309 | "state": "active", | 336 | "state": "active", | ||
310 | "vocabulary_id": null | 337 | "vocabulary_id": null | ||
311 | }, | 338 | }, | ||
312 | { | 339 | { | ||
313 | "display_name": "HPLC", | 340 | "display_name": "HPLC", | ||
314 | "id": "2488b7c3-a807-4e09-8cba-c4f0aef4bb7c", | 341 | "id": "2488b7c3-a807-4e09-8cba-c4f0aef4bb7c", | ||
315 | "name": "HPLC", | 342 | "name": "HPLC", | ||
316 | "state": "active", | 343 | "state": "active", | ||
317 | "vocabulary_id": null | 344 | "vocabulary_id": null | ||
318 | }, | 345 | }, | ||
319 | { | 346 | { | ||
320 | "display_name": "Hudson Bay", | 347 | "display_name": "Hudson Bay", | ||
321 | "id": "e8708f68-d619-4444-8951-96582b048848", | 348 | "id": "e8708f68-d619-4444-8951-96582b048848", | ||
322 | "name": "Hudson Bay", | 349 | "name": "Hudson Bay", | ||
323 | "state": "active", | 350 | "state": "active", | ||
324 | "vocabulary_id": null | 351 | "vocabulary_id": null | ||
325 | }, | 352 | }, | ||
326 | { | 353 | { | ||
327 | "display_name": "Ice algae", | 354 | "display_name": "Ice algae", | ||
328 | "id": "17ef24c8-9d33-4b66-86a3-593c36ceb4bb", | 355 | "id": "17ef24c8-9d33-4b66-86a3-593c36ceb4bb", | ||
329 | "name": "Ice algae", | 356 | "name": "Ice algae", | ||
330 | "state": "active", | 357 | "state": "active", | ||
331 | "vocabulary_id": null | 358 | "vocabulary_id": null | ||
332 | }, | 359 | }, | ||
333 | { | 360 | { | ||
334 | "display_name": "Photoacclimation", | 361 | "display_name": "Photoacclimation", | ||
335 | "id": "6a865eea-d278-4e4b-98c8-5bf860c78244", | 362 | "id": "6a865eea-d278-4e4b-98c8-5bf860c78244", | ||
336 | "name": "Photoacclimation", | 363 | "name": "Photoacclimation", | ||
337 | "state": "active", | 364 | "state": "active", | ||
338 | "vocabulary_id": null | 365 | "vocabulary_id": null | ||
339 | }, | 366 | }, | ||
340 | { | 367 | { | ||
341 | "display_name": "Primary production", | 368 | "display_name": "Primary production", | ||
342 | "id": "568c406b-0974-4083-a7e8-794d5a73fade", | 369 | "id": "568c406b-0974-4083-a7e8-794d5a73fade", | ||
343 | "name": "Primary production", | 370 | "name": "Primary production", | ||
344 | "state": "active", | 371 | "state": "active", | ||
345 | "vocabulary_id": null | 372 | "vocabulary_id": null | ||
346 | }, | 373 | }, | ||
347 | { | 374 | { | ||
348 | "display_name": "Sea ice melt", | 375 | "display_name": "Sea ice melt", | ||
349 | "id": "b6bd462a-302a-47d2-98c6-ad0abbd70488", | 376 | "id": "b6bd462a-302a-47d2-98c6-ad0abbd70488", | ||
350 | "name": "Sea ice melt", | 377 | "name": "Sea ice melt", | ||
351 | "state": "active", | 378 | "state": "active", | ||
352 | "vocabulary_id": null | 379 | "vocabulary_id": null | ||
353 | }, | 380 | }, | ||
354 | { | 381 | { | ||
355 | "display_name": "Spring bloom", | 382 | "display_name": "Spring bloom", | ||
356 | "id": "f1d9a903-164f-4f84-b12c-efcea91a5434", | 383 | "id": "f1d9a903-164f-4f84-b12c-efcea91a5434", | ||
357 | "name": "Spring bloom", | 384 | "name": "Spring bloom", | ||
358 | "state": "active", | 385 | "state": "active", | ||
359 | "vocabulary_id": null | 386 | "vocabulary_id": null | ||
360 | } | 387 | } | ||
361 | ], | 388 | ], | ||
362 | "theme": [ | 389 | "theme": [ | ||
363 | "98238b1c-5be8-41ad-8c6e-74cdc4f5f369" | 390 | "98238b1c-5be8-41ad-8c6e-74cdc4f5f369" | ||
364 | ], | 391 | ], | ||
365 | "title": "Algal pigments in ice and water", | 392 | "title": "Algal pigments in ice and water", | ||
366 | "titleType": "Alternative Title", | 393 | "titleType": "Alternative Title", | ||
367 | "type": "dataset", | 394 | "type": "dataset", | ||
368 | "url": null, | 395 | "url": null, | ||
369 | "useTerms": "By accessing this data you agree to [CanWIN's Terms of | 396 | "useTerms": "By accessing this data you agree to [CanWIN's Terms of | ||
370 | anwin-data-statement/resource/5b942a87-ef4e-466e-8319-f588844e89c0).", | 397 | anwin-data-statement/resource/5b942a87-ef4e-466e-8319-f588844e89c0).", | ||
371 | "variablesMeasured": "", | 398 | "variablesMeasured": "", | ||
372 | "version": null | 399 | "version": null | ||
373 | } | 400 | } |