Changes
On November 12, 2021 at 3:02:54 PM CST, Claire Herbert:
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No fields were updated. See the metadata diff for more details.
f | 1 | { | f | 1 | { |
2 | "Creator": "Creator", | 2 | "Creator": "Creator", | ||
3 | "Date": "2021-02-04", | 3 | "Date": "2021-02-04", | ||
4 | "IdentifierType": "DOI", | 4 | "IdentifierType": "DOI", | ||
5 | "PublicationYear": "2021", | 5 | "PublicationYear": "2021", | ||
6 | "Publisher": "CanWIN", | 6 | "Publisher": "CanWIN", | ||
7 | "RelatedIdentifierType": "URL", | 7 | "RelatedIdentifierType": "URL", | ||
8 | "RelationType": "IsSupplementTo", | 8 | "RelationType": "IsSupplementTo", | ||
9 | "ResourceType": "Phytoplankton bloom", | 9 | "ResourceType": "Phytoplankton bloom", | ||
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, details | 12 | "accessTerms": "CanWIN datasets are licensed individually, details | ||
13 | for each licence used can be found using the Licence URL link provided | 13 | for each licence used can be found using the Licence URL link provided | ||
14 | with each dataset. \r\nBy accessing this Web site and Database, you | 14 | with each dataset. \r\nBy accessing this Web site and Database, you | ||
15 | are agreeing to be bound by CanWIN's Terms of Use, all applicable laws | 15 | are agreeing to be bound by CanWIN's Terms of Use, all applicable laws | ||
16 | and regulations, and agree that you are responsible for compliance | 16 | and regulations, and agree that you are responsible for compliance | ||
17 | with any applicable local laws. If you do not agree with any of these | 17 | with any applicable local laws. If you do not agree with any of these | ||
18 | terms, do not use this site. Any claim relating to this web site shall | 18 | terms, do not use this site. Any claim relating to this web site shall | ||
19 | be governed by the laws of the Province of Manitoba without regard to | 19 | be governed by the laws of the Province of Manitoba without regard to | ||
20 | its conflict of law provisions", | 20 | its conflict of law provisions", | ||
21 | "activityCollectionType": "", | 21 | "activityCollectionType": "", | ||
22 | "analyticalInstrument": [ | 22 | "analyticalInstrument": [ | ||
23 | { | 23 | { | ||
24 | "Title": "", | 24 | "Title": "", | ||
25 | "analyticalInstrumentIdentifier": "", | 25 | "analyticalInstrumentIdentifier": "", | ||
26 | "identifierType": "", | 26 | "identifierType": "", | ||
27 | "name": "", | 27 | "name": "", | ||
28 | "titleType": "Alternative Title" | 28 | "titleType": "Alternative Title" | ||
29 | } | 29 | } | ||
30 | ], | 30 | ], | ||
31 | "analyticalMethodName": "", | 31 | "analyticalMethodName": "", | ||
32 | "author": null, | 32 | "author": null, | ||
33 | "author_email": null, | 33 | "author_email": null, | ||
34 | "award": [ | 34 | "award": [ | ||
35 | { | 35 | { | ||
36 | "awardTitle": "", | 36 | "awardTitle": "", | ||
37 | "awardURI": "" | 37 | "awardURI": "" | ||
38 | } | 38 | } | ||
39 | ], | 39 | ], | ||
40 | "campaignEndDate": "", | 40 | "campaignEndDate": "", | ||
41 | "campaignStartDate": "", | 41 | "campaignStartDate": "", | ||
42 | "comments": "", | 42 | "comments": "", | ||
43 | "contributorName": "Lucas Barbedo", | 43 | "contributorName": "Lucas Barbedo", | ||
44 | "contributorType": "DataCurator", | 44 | "contributorType": "DataCurator", | ||
45 | "contributors": [ | 45 | "contributors": [ | ||
46 | { | 46 | { | ||
47 | "affiliation": "Universit\u00e9 du Qu\u00e9bec \u00e0 Rimouski", | 47 | "affiliation": "Universit\u00e9 du Qu\u00e9bec \u00e0 Rimouski", | ||
48 | "contributorName": "Belanger, Simon", | 48 | "contributorName": "Belanger, Simon", | ||
49 | "contributorType": "Researcher", | 49 | "contributorType": "Researcher", | ||
50 | "email": "", | 50 | "email": "", | ||
51 | "nameIdentifier": "ORCID", | 51 | "nameIdentifier": "ORCID", | ||
52 | "nameIdentifierScheme": "ORCID", | 52 | "nameIdentifierScheme": "ORCID", | ||
53 | "schemeURI": "http://orcid.org/" | 53 | "schemeURI": "http://orcid.org/" | ||
54 | }, | 54 | }, | ||
55 | { | 55 | { | ||
56 | "affiliation": "Universit\u00e9 Laval", | 56 | "affiliation": "Universit\u00e9 Laval", | ||
57 | "contributorName": "Tremblay, Jean-Eric", | 57 | "contributorName": "Tremblay, Jean-Eric", | ||
58 | "contributorType": "Researcher", | 58 | "contributorType": "Researcher", | ||
59 | "email": "", | 59 | "email": "", | ||
60 | "nameIdentifier": "ORCID", | 60 | "nameIdentifier": "ORCID", | ||
61 | "nameIdentifierScheme": "ORCID", | 61 | "nameIdentifierScheme": "ORCID", | ||
62 | "schemeURI": "http://orcid.org/" | 62 | "schemeURI": "http://orcid.org/" | ||
63 | } | 63 | } | ||
64 | ], | 64 | ], | ||
65 | "creatorName": [ | 65 | "creatorName": [ | ||
66 | { | 66 | { | ||
67 | "__extras": { | 67 | "__extras": { | ||
68 | "nameIdentifierScheme": "ORCID", | 68 | "nameIdentifierScheme": "ORCID", | ||
69 | "schemeURI": "http://orcid.org/" | 69 | "schemeURI": "http://orcid.org/" | ||
70 | }, | 70 | }, | ||
71 | "author": "Barbedo, Lucas", | 71 | "author": "Barbedo, Lucas", | ||
72 | "creatorAffiliation": "Universit\u00e9 du Qu\u00e9bec \u00e0 | 72 | "creatorAffiliation": "Universit\u00e9 du Qu\u00e9bec \u00e0 | ||
73 | Rimouski", | 73 | Rimouski", | ||
74 | "creatorEmail": "lucasbarbedo@gmail.com", | 74 | "creatorEmail": "lucasbarbedo@gmail.com", | ||
75 | "creatorNameIdentifier": "0000-0003-4599-8348", | 75 | "creatorNameIdentifier": "0000-0003-4599-8348", | ||
76 | "nameType": "Personal" | 76 | "nameType": "Personal" | ||
77 | } | 77 | } | ||
78 | ], | 78 | ], | ||
79 | "creator_user_id": "c3ad971e-75e0-4e57-b825-8ed25f306937", | 79 | "creator_user_id": "c3ad971e-75e0-4e57-b825-8ed25f306937", | ||
80 | "dataCuratorAffiliation": "Universit\u00e9 du Qu\u00e9bec \u00e0 | 80 | "dataCuratorAffiliation": "Universit\u00e9 du Qu\u00e9bec \u00e0 | ||
81 | Rimouski", | 81 | Rimouski", | ||
82 | "dataCuratorEmail": "lucasbarbedo@gmail.com", | 82 | "dataCuratorEmail": "lucasbarbedo@gmail.com", | ||
83 | "datasetCitation": "Barbedo, L. 2020. \"Sea-Ice Edge Phytoplankton | 83 | "datasetCitation": "Barbedo, L. 2020. \"Sea-Ice Edge Phytoplankton | ||
84 | Bloom\", Baysys Team 3 - Marine Ecosystems, 10.34992/1e0k-4m16, | 84 | Bloom\", Baysys Team 3 - Marine Ecosystems, 10.34992/1e0k-4m16, | ||
85 | Canadian Watershed Information Network, V1.", | 85 | Canadian Watershed Information Network, V1.", | ||
86 | "datasetIdentifier": "10.34992/1e0k-4m16", | 86 | "datasetIdentifier": "10.34992/1e0k-4m16", | ||
87 | "datasetLevel": "1.2", | 87 | "datasetLevel": "1.2", | ||
88 | "datasetPublisher": "CanWIN", | 88 | "datasetPublisher": "CanWIN", | ||
89 | "dateType": "Updated", | 89 | "dateType": "Updated", | ||
90 | "descriptionType": "Abstract", | 90 | "descriptionType": "Abstract", | ||
91 | "embargoDate": "", | 91 | "embargoDate": "", | ||
92 | "endDate": "2021-11-11", | 92 | "endDate": "2021-11-11", | ||
93 | "endDateType": "Other", | 93 | "endDateType": "Other", | ||
94 | "frequency": "As needed", | 94 | "frequency": "As needed", | ||
95 | "funderIdentifierType": "", | 95 | "funderIdentifierType": "", | ||
96 | "funderName": "", | 96 | "funderName": "", | ||
97 | "funderSchemeURI": "", | 97 | "funderSchemeURI": "", | ||
n | 98 | "groups": [], | n | 98 | "groups": [ |
99 | { | ||||
100 | "description": "The cryosphere encompasses all the parts of the | ||||
101 | Earth system where water is in solid form, including ice sheets, ice | ||||
102 | shelves, glaciers, snow cover, permafrost (frozen ground), sea ice, | ||||
103 | and river and lake ice. The cryosphere exerts an important influence | ||||
104 | on Earth\u2019s climate. Image and description from | ||||
105 | https://climate.copernicus.eu.", | ||||
106 | "display_name": "Cryosphere", | ||||
107 | "id": "3707ff10-6424-4858-9ec9-7d67b38831b3", | ||||
108 | "image_display_url": | ||||
109 | loads/group/2021-11-01-152857.585996C3SindicatorscryosphereFig10.png", | ||||
110 | "name": "cryosphere", | ||||
111 | "title": "Cryosphere" | ||||
112 | }, | ||||
113 | { | ||||
114 | "description": "Female Daphnia magna carrying a resting egg | ||||
115 | (\"ephippium\"). The black ephippium is part of the carapace and | ||||
116 | contains usually two sexual eggs. Photo by Dieter Ebert, Basel, | ||||
117 | Switzerland. \r\nCC BY-SA 4.0 Licence\r\n", | ||||
118 | "display_name": "Marine", | ||||
119 | "id": "98238b1c-5be8-41ad-8c6e-74cdc4f5f369", | ||||
120 | "image_display_url": | ||||
121 | ata/uploads/group/2021-10-31-211516.365746ofinspireoceanographic.svg", | ||||
122 | "name": "marine", | ||||
123 | "title": "Marine" | ||||
124 | } | ||||
125 | ], | ||||
99 | "id": "49695e4c-2b6d-4144-8939-fe680eebf4c7", | 126 | "id": "49695e4c-2b6d-4144-8939-fe680eebf4c7", | ||
100 | "instrumentTitle": "", | 127 | "instrumentTitle": "", | ||
101 | "isopen": false, | 128 | "isopen": false, | ||
102 | "keywords": "Hudson Bay,Marginal ice zone,Phytoplankton,Sea ice", | 129 | "keywords": "Hudson Bay,Marginal ice zone,Phytoplankton,Sea ice", | ||
103 | "kvSchemeURI": | 130 | "kvSchemeURI": | ||
104 | "https://www.polardata.ca/pdcinput/public/keywordlibrary", | 131 | "https://www.polardata.ca/pdcinput/public/keywordlibrary", | ||
105 | "laboratory": "", | 132 | "laboratory": "", | ||
106 | "licenceShemeURI": "https://spdx.org/licenses", | 133 | "licenceShemeURI": "https://spdx.org/licenses", | ||
107 | "licenceType": "Open", | 134 | "licenceType": "Open", | ||
108 | "license_id": null, | 135 | "license_id": null, | ||
109 | "license_title": null, | 136 | "license_title": null, | ||
110 | "maintainer": null, | 137 | "maintainer": null, | ||
111 | "maintainer_email": null, | 138 | "maintainer_email": null, | ||
112 | "metadata_created": "2021-11-05T01:58:56.756124", | 139 | "metadata_created": "2021-11-05T01:58:56.756124", | ||
t | 113 | "metadata_modified": "2021-11-08T16:07:30.515984", | t | 140 | "metadata_modified": "2021-11-12T21:02:54.203241", |
114 | "methodCitation": "", | 141 | "methodCitation": "", | ||
115 | "methodDescrioption": "", | 142 | "methodDescrioption": "", | ||
116 | "methodDescriptionType": "Methods", | 143 | "methodDescriptionType": "Methods", | ||
117 | "methodLink": "", | 144 | "methodLink": "", | ||
118 | "methodSummary": "", | 145 | "methodSummary": "", | ||
119 | "methodTitle": "", | 146 | "methodTitle": "", | ||
120 | "methodUrl": "", | 147 | "methodUrl": "", | ||
121 | "name": "sea-ice-edge-phytoplankton-bloom", | 148 | "name": "sea-ice-edge-phytoplankton-bloom", | ||
122 | "notes": "Satellite-derived sea-ice retreat timing (tR) and maximum | 149 | "notes": "Satellite-derived sea-ice retreat timing (tR) and maximum | ||
123 | chlorophyll-a concentration in the ice edge zone between 1998 and | 150 | chlorophyll-a concentration in the ice edge zone between 1998 and | ||
124 | 2018. Sea ice concentration (SIC) was obtained from the National Snow | 151 | 2018. Sea ice concentration (SIC) was obtained from the National Snow | ||
125 | and Ice Data Center. It is based on daily passive microwave radiometry | 152 | and Ice Data Center. It is based on daily passive microwave radiometry | ||
126 | processed using the Bootstrap algorithm (Comiso, 2000) at 25 km | 153 | processed using the Bootstrap algorithm (Comiso, 2000) at 25 km | ||
127 | resolution. The Bootstrap technique clusters the multichannel passive | 154 | resolution. The Bootstrap technique clusters the multichannel passive | ||
128 | microwave sensors: Scanning Multi- channel Microwave Radiometer on the | 155 | microwave sensors: Scanning Multi- channel Microwave Radiometer on the | ||
129 | Nimbus-7 satellite, Special Sensor Microwave/Imager and Special Sensor | 156 | Nimbus-7 satellite, Special Sensor Microwave/Imager and Special Sensor | ||
130 | Microwave Imager/Sounder from the Defense Meteorological Satellite | 157 | Microwave Imager/Sounder from the Defense Meteorological Satellite | ||
131 | Program\u2019s satellites, and the Advanced Microwave Scanning | 158 | Program\u2019s satellites, and the Advanced Microwave Scanning | ||
132 | Radiometer (Comiso et al., 1997). SIC was interpolated onto the same | 159 | Radiometer (Comiso et al., 1997). SIC was interpolated onto the same | ||
133 | Chla grid using the nearest neighborhood scheme implemented in | 160 | Chla grid using the nearest neighborhood scheme implemented in | ||
134 | Matlab.\r\n\r\nMulti-sensor merged clorophyll-a concentration (Chla) | 161 | Matlab.\r\n\r\nMulti-sensor merged clorophyll-a concentration (Chla) | ||
135 | Level-3 (i.e., binned and mapped) 8-day composites from the Globcolour | 162 | Level-3 (i.e., binned and mapped) 8-day composites from the Globcolour | ||
136 | Project (http://www.globcolour.info/) were used as a proxy for | 163 | Project (http://www.globcolour.info/) were used as a proxy for | ||
137 | phytoplankton biomass. Globcolour products have a spa- tial resolution | 164 | phytoplankton biomass. Globcolour products have a spa- tial resolution | ||
138 | of 4.63 km and cover the 1998\u20132018 period. The merged product was | 165 | of 4.63 km and cover the 1998\u20132018 period. The merged product was | ||
139 | selected to improve the spatial-temporal coverage diminishing gaps due | 166 | selected to improve the spatial-temporal coverage diminishing gaps due | ||
140 | to cloud cover and sea-ice coverage (Maritorena et al., 2010). The | 167 | to cloud cover and sea-ice coverage (Maritorena et al., 2010). The | ||
141 | binning methodology combines the normalized water- leaving radiances | 168 | binning methodology combines the normalized water- leaving radiances | ||
142 | from different ocean color sensors whenever they are available, which | 169 | from different ocean color sensors whenever they are available, which | ||
143 | includes SeaWiFS (1998\u20132010), MODIS-Aqua (2002\u20132018), | 170 | includes SeaWiFS (1998\u20132010), MODIS-Aqua (2002\u20132018), | ||
144 | Medium- Resolution Imaging Spectrometer (MERIS: 2002\u20132011), and | 171 | Medium- Resolution Imaging Spectrometer (MERIS: 2002\u20132011), and | ||
145 | Visible Infrared Imaging Radiometer Suite (VIIRS: 2012\u20132018). | 172 | Visible Infrared Imaging Radiometer Suite (VIIRS: 2012\u20132018). | ||
146 | [Chla] was estimated from normalized water-leaving radiances merged | 173 | [Chla] was estimated from normalized water-leaving radiances merged | ||
147 | using the Garver-Siegel- Maritorena (GSM) semi-analytical model | 174 | using the Garver-Siegel- Maritorena (GSM) semi-analytical model | ||
148 | (Garver and Siegel, 1997; Maritorena et al., 2002).\r\n\r\nTo assess | 175 | (Garver and Siegel, 1997; Maritorena et al., 2002).\r\n\r\nTo assess | ||
149 | the impacts of sea-ice retreat timing on marginal ice zone | 176 | the impacts of sea-ice retreat timing on marginal ice zone | ||
150 | phytoplankton blooms (also refers to phytoplankton spring blooms or | 177 | phytoplankton blooms (also refers to phytoplankton spring blooms or | ||
151 | ice-edge blooms), we analyzed both Chla and SIC variability in | 178 | ice-edge blooms), we analyzed both Chla and SIC variability in | ||
152 | parallel. The method is similar to that of Perrette et al. (2011), | 179 | parallel. The method is similar to that of Perrette et al. (2011), | ||
153 | which was also adopted by Lowry et al. (2014) and Renaut et al. | 180 | which was also adopted by Lowry et al. (2014) and Renaut et al. | ||
154 | (2018). The sea-ice retreat, tR, is defined as the day at which SIC is | 181 | (2018). The sea-ice retreat, tR, is defined as the day at which SIC is | ||
155 | below 10% for at least 24 days. This time interval is longer than the | 182 | below 10% for at least 24 days. This time interval is longer than the | ||
156 | 20 days applied by Perrette et al. (2011) and Renaut et al. (2018) and | 183 | 20 days applied by Perrette et al. (2011) and Renaut et al. (2018) and | ||
157 | the 14 days by Lowry et al. (2014) because we used 8-day composites | 184 | the 14 days by Lowry et al. (2014) because we used 8-day composites | ||
158 | instead of daily maps. However, to avoid sub-pixel contamination in | 185 | instead of daily maps. However, to avoid sub-pixel contamination in | ||
159 | ice-infested regions near the ice edge (Be\u00b4langer et al., 2013), | 186 | ice-infested regions near the ice edge (Be\u00b4langer et al., 2013), | ||
160 | we opted to be more conservative by applying a 10% threshold on SIC, | 187 | we opted to be more conservative by applying a 10% threshold on SIC, | ||
161 | as did Perrette et al. (2011) and Renaut et al. (2018) instead of 50% | 188 | as did Perrette et al. (2011) and Renaut et al. (2018) instead of 50% | ||
162 | as applied by Lowry et al. (2014). The maximum Chla observed in the | 189 | as applied by Lowry et al. (2014). The maximum Chla observed in the | ||
163 | ice edge zone was extracted for each pixel for each year, yielding one | 190 | ice edge zone was extracted for each pixel for each year, yielding one | ||
164 | map of MIZ Chla per year.", | 191 | map of MIZ Chla per year.", | ||
165 | "num_resources": 2, | 192 | "num_resources": 2, | ||
166 | "num_tags": 4, | 193 | "num_tags": 4, | ||
167 | "organization": { | 194 | "organization": { | ||
168 | "approval_status": "approved", | 195 | "approval_status": "approved", | ||
169 | "created": "2017-07-21T13:15:49.935872", | 196 | "created": "2017-07-21T13:15:49.935872", | ||
170 | "description": "The Centre for Earth Observation Science (CEOS) | 197 | "description": "The Centre for Earth Observation Science (CEOS) | ||
171 | was established in 1994 with a mandate to research, preserve and | 198 | was established in 1994 with a mandate to research, preserve and | ||
172 | communicate knowledge of Earth system processes using the technologies | 199 | communicate knowledge of Earth system processes using the technologies | ||
173 | of Earth Observation Science. Research is multidisciplinary and | 200 | of Earth Observation Science. Research is multidisciplinary and | ||
174 | collaborative seeking to understand the complex interrelationships | 201 | collaborative seeking to understand the complex interrelationships | ||
175 | between elements of Earth systems, and how these systems will likely | 202 | between elements of Earth systems, and how these systems will likely | ||
176 | respond to climate change. Although researchers have worked in many | 203 | respond to climate change. Although researchers have worked in many | ||
177 | regions, the Arctic marine system has always been a unifying focus of | 204 | regions, the Arctic marine system has always been a unifying focus of | ||
178 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | 205 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | ||
179 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | 206 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | ||
180 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | 207 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | ||
181 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | 208 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | ||
182 | existing research activity are divided among key themes:\r\n\r\nArctic | 209 | existing research activity are divided among key themes:\r\n\r\nArctic | ||
183 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | 210 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | ||
184 | preservation, archaeo-geophysics, permafrost degredation, lithic | 211 | preservation, archaeo-geophysics, permafrost degredation, lithic | ||
185 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | 212 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | ||
186 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | 213 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | ||
187 | ethnographic analogy, traditional knowledge, climate change and | 214 | ethnographic analogy, traditional knowledge, climate change and | ||
188 | northern heritage resource management.\r\n\r\nAtmospheric | 215 | northern heritage resource management.\r\n\r\nAtmospheric | ||
189 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | 216 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | ||
190 | extreme weather, circulation, eddy correlations, polar vortex, | 217 | extreme weather, circulation, eddy correlations, polar vortex, | ||
191 | climate, teleconnections, geophysical fluid dynamics, flux and energy | 218 | climate, teleconnections, geophysical fluid dynamics, flux and energy | ||
192 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | 219 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | ||
193 | albedo feedback, cloud radiative forcing, pCO2. | 220 | albedo feedback, cloud radiative forcing, pCO2. | ||
194 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | 221 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | ||
195 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | 222 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | ||
196 | metals, minerals, hydrocarbons, brine processes, otolith | 223 | metals, minerals, hydrocarbons, brine processes, otolith | ||
197 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | 224 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | ||
198 | trace metals, PAHs, source, transport, transformation, pathways, | 225 | trace metals, PAHs, source, transport, transformation, pathways, | ||
199 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | 226 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | ||
200 | Observation Science: Active and passive microwave, LiDAR, EM | 227 | Observation Science: Active and passive microwave, LiDAR, EM | ||
201 | induction, spatial-temporal analysis, forward and inverse scattering | 228 | induction, spatial-temporal analysis, forward and inverse scattering | ||
202 | models, complex permittivity, ocean colour, ocean surface roughness, | 229 | models, complex permittivity, ocean colour, ocean surface roughness, | ||
203 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | 230 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | ||
204 | Biophysical processes, primary production; ice algae, ice | 231 | Biophysical processes, primary production; ice algae, ice | ||
205 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | 232 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | ||
206 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | 233 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | ||
207 | transport, nutrient transport, contaminants, landscape processes, | 234 | transport, nutrient transport, contaminants, landscape processes, | ||
208 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | 235 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | ||
209 | whales, habitat, conservation, satellite telemetry, distribution, | 236 | whales, habitat, conservation, satellite telemetry, distribution, | ||
210 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | 237 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | ||
211 | Simulation of sea ice and oceanic regional processes, Nucleus for | 238 | Simulation of sea ice and oceanic regional processes, Nucleus for | ||
212 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | 239 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | ||
213 | interactions, hind cast simulations and projections for sea ice state | 240 | interactions, hind cast simulations and projections for sea ice state | ||
214 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | 241 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | ||
215 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | 242 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | ||
216 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | 243 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | ||
217 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | 244 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | ||
218 | processes, extreme ice features and hazards, snow, ridges, | 245 | processes, extreme ice features and hazards, snow, ridges, | ||
219 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | 246 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | ||
220 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | 247 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | ||
221 | hunting, food security, sea ice use, community-based research, | 248 | hunting, food security, sea ice use, community-based research, | ||
222 | community-based monitoring, two ways of knowing.", | 249 | community-based monitoring, two ways of knowing.", | ||
223 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 250 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
224 | "image_url": | 251 | "image_url": | ||
225 | "2021-10-27-025042.870625UM-EarthObservationScience-cmyk-right.png", | 252 | "2021-10-27-025042.870625UM-EarthObservationScience-cmyk-right.png", | ||
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228 | "state": "active", | 255 | "state": "active", | ||
229 | "title": "CEOS", | 256 | "title": "CEOS", | ||
230 | "type": "organization" | 257 | "type": "organization" | ||
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247 | "related_instruments": "[]", | 274 | "related_instruments": "[]", | ||
248 | "related_platforms": "[]", | 275 | "related_platforms": "[]", | ||
249 | "related_programs": "[]", | 276 | "related_programs": "[]", | ||
250 | "related_publications": "[]", | 277 | "related_publications": "[]", | ||
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256 | "cache_last_updated": null, | 283 | "cache_last_updated": null, | ||
257 | "cache_url": null, | 284 | "cache_url": null, | ||
258 | "created": "2021-11-05T02:04:25.869951", | 285 | "created": "2021-11-05T02:04:25.869951", | ||
259 | "datastore_active": false, | 286 | "datastore_active": false, | ||
260 | "datastore_contains_all_records_of_source_file": false, | 287 | "datastore_contains_all_records_of_source_file": false, | ||
261 | "description": "Satellite-derived sea-ice retreat timing (tR) | 288 | "description": "Satellite-derived sea-ice retreat timing (tR) | ||
262 | and maximum chlorophyll-a concentration in the ice edge zone between | 289 | and maximum chlorophyll-a concentration in the ice edge zone between | ||
263 | 1998 and 2018. Sea ice concentration (SIC) was obtained from the | 290 | 1998 and 2018. Sea ice concentration (SIC) was obtained from the | ||
264 | National Snow and Ice Data Center. It is based on daily passive | 291 | National Snow and Ice Data Center. It is based on daily passive | ||
265 | microwave radiometry processed using the Bootstrap algorithm (Comiso, | 292 | microwave radiometry processed using the Bootstrap algorithm (Comiso, | ||
266 | 2000) at 25 km resolution. The Bootstrap technique clusters the | 293 | 2000) at 25 km resolution. The Bootstrap technique clusters the | ||
267 | multichannel passive microwave sensors: Scanning Multi- channel | 294 | multichannel passive microwave sensors: Scanning Multi- channel | ||
268 | Microwave Radiometer on the Nimbus-7 satellite, Special Sensor | 295 | Microwave Radiometer on the Nimbus-7 satellite, Special Sensor | ||
269 | Microwave/Imager and Special Sensor Microwave Imager/Sounder from the | 296 | Microwave/Imager and Special Sensor Microwave Imager/Sounder from the | ||
270 | Defense Meteorological Satellite Program\u2019s satellites, and the | 297 | Defense Meteorological Satellite Program\u2019s satellites, and the | ||
271 | Advanced Microwave Scanning Radiometer (Comiso et al., 1997). SIC was | 298 | Advanced Microwave Scanning Radiometer (Comiso et al., 1997). SIC was | ||
272 | interpolated onto the same Chla grid using the nearest neighborhood | 299 | interpolated onto the same Chla grid using the nearest neighborhood | ||
273 | scheme implemented in Matlab.\r\n\r\nMulti-sensor merged clorophyll-a | 300 | scheme implemented in Matlab.\r\n\r\nMulti-sensor merged clorophyll-a | ||
274 | concentration (Chla) Level-3 (i.e., binned and mapped) 8-day | 301 | concentration (Chla) Level-3 (i.e., binned and mapped) 8-day | ||
275 | composites from the Globcolour Project (http://www.globcolour.info/) | 302 | composites from the Globcolour Project (http://www.globcolour.info/) | ||
276 | were used as a proxy for phytoplankton biomass. Globcolour products | 303 | were used as a proxy for phytoplankton biomass. Globcolour products | ||
277 | have a spa- tial resolution of 4.63 km and cover the 1998\u20132018 | 304 | have a spa- tial resolution of 4.63 km and cover the 1998\u20132018 | ||
278 | period. The merged product was selected to improve the | 305 | period. The merged product was selected to improve the | ||
279 | spatial-temporal coverage diminishing gaps due to cloud cover and | 306 | spatial-temporal coverage diminishing gaps due to cloud cover and | ||
280 | sea-ice coverage (Maritorena et al., 2010). The binning methodology | 307 | sea-ice coverage (Maritorena et al., 2010). The binning methodology | ||
281 | combines the normalized water- leaving radiances from different ocean | 308 | combines the normalized water- leaving radiances from different ocean | ||
282 | color sensors whenever they are available, which includes SeaWiFS | 309 | color sensors whenever they are available, which includes SeaWiFS | ||
283 | (1998\u20132010), MODIS-Aqua (2002\u20132018), Medium- Resolution | 310 | (1998\u20132010), MODIS-Aqua (2002\u20132018), Medium- Resolution | ||
284 | Imaging Spectrometer (MERIS: 2002\u20132011), and Visible Infrared | 311 | Imaging Spectrometer (MERIS: 2002\u20132011), and Visible Infrared | ||
285 | Imaging Radiometer Suite (VIIRS: 2012\u20132018). [Chla] was estimated | 312 | Imaging Radiometer Suite (VIIRS: 2012\u20132018). [Chla] was estimated | ||
286 | from normalized water-leaving radiances merged using the | 313 | from normalized water-leaving radiances merged using the | ||
287 | Garver-Siegel- Maritorena (GSM) semi-analytical model (Garver and | 314 | Garver-Siegel- Maritorena (GSM) semi-analytical model (Garver and | ||
288 | Siegel, 1997; Maritorena et al., 2002).\r\n\r\nTo assess the impacts | 315 | Siegel, 1997; Maritorena et al., 2002).\r\n\r\nTo assess the impacts | ||
289 | of sea-ice retreat timing on marginal ice zone phytoplankton blooms | 316 | of sea-ice retreat timing on marginal ice zone phytoplankton blooms | ||
290 | (also refers to phytoplankton spring blooms or ice-edge blooms), we | 317 | (also refers to phytoplankton spring blooms or ice-edge blooms), we | ||
291 | analyzed both Chla and SIC variability in parallel. The method is | 318 | analyzed both Chla and SIC variability in parallel. The method is | ||
292 | similar to that of Perrette et al. (2011), which was also adopted by | 319 | similar to that of Perrette et al. (2011), which was also adopted by | ||
293 | Lowry et al. (2014) and Renaut et al. (2018). The sea-ice retreat, tR, | 320 | Lowry et al. (2014) and Renaut et al. (2018). The sea-ice retreat, tR, | ||
294 | is defined as the day at which SIC is below 10% for at least 24 days. | 321 | is defined as the day at which SIC is below 10% for at least 24 days. | ||
295 | This time interval is longer than the 20 days applied by Perrette et | 322 | This time interval is longer than the 20 days applied by Perrette et | ||
296 | al. (2011) and Renaut et al. (2018) and the 14 days by Lowry et al. | 323 | al. (2011) and Renaut et al. (2018) and the 14 days by Lowry et al. | ||
297 | (2014) because we used 8-day composites instead of daily maps. | 324 | (2014) because we used 8-day composites instead of daily maps. | ||
298 | However, to avoid sub-pixel contamination in ice-infested regions near | 325 | However, to avoid sub-pixel contamination in ice-infested regions near | ||
299 | the ice edge (Be\u00b4langer et al., 2013), we opted to be more | 326 | the ice edge (Be\u00b4langer et al., 2013), we opted to be more | ||
300 | conservative by applying a 10% threshold on SIC, as did Perrette et | 327 | conservative by applying a 10% threshold on SIC, as did Perrette et | ||
301 | al. (2011) and Renaut et al. (2018) instead of 50% as applied by Lowry | 328 | al. (2011) and Renaut et al. (2018) instead of 50% as applied by Lowry | ||
302 | et al. (2014). The maximum Chla observed in the ice edge zone was | 329 | et al. (2014). The maximum Chla observed in the ice edge zone was | ||
303 | extracted for each pixel for each year, yielding one map of MIZ Chla | 330 | extracted for each pixel for each year, yielding one map of MIZ Chla | ||
304 | per year.\r\n\r\n__Citation:__ Barbedo L, B\u00e9langer S, Tremblay | 331 | per year.\r\n\r\n__Citation:__ Barbedo L, B\u00e9langer S, Tremblay | ||
305 | J-\u00c9. 2020. Climate control of sea-ice edge phytoplankton blooms | 332 | J-\u00c9. 2020. Climate control of sea-ice edge phytoplankton blooms | ||
306 | in the Hudson Bay system. Elem Sci Anthr 8(1). doi: | 333 | in the Hudson Bay system. Elem Sci Anthr 8(1). doi: | ||
307 | 10.1525/elementa.039", | 334 | 10.1525/elementa.039", | ||
308 | "format": "mat", | 335 | "format": "mat", | ||
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311 | "last_modified": "2021-11-05T02:04:25.815597", | 338 | "last_modified": "2021-11-05T02:04:25.815597", | ||
312 | "metadata_modified": "2021-11-05T02:04:26.258406", | 339 | "metadata_modified": "2021-11-05T02:04:26.258406", | ||
313 | "mimetype": null, | 340 | "mimetype": null, | ||
314 | "mimetype_inner": null, | 341 | "mimetype_inner": null, | ||
315 | "name": "Sea-ice edge phytoplankton bloom", | 342 | "name": "Sea-ice edge phytoplankton bloom", | ||
316 | "package_id": "49695e4c-2b6d-4144-8939-fe680eebf4c7", | 343 | "package_id": "49695e4c-2b6d-4144-8939-fe680eebf4c7", | ||
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324 | "url_type": "upload" | 351 | "url_type": "upload" | ||
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327 | "cache_last_updated": null, | 354 | "cache_last_updated": null, | ||
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330 | "datastore_active": false, | 357 | "datastore_active": false, | ||
331 | "datastore_contains_all_records_of_source_file": false, | 358 | "datastore_contains_all_records_of_source_file": false, | ||
332 | "description": "Supplementary information related to the Sea-Ice | 359 | "description": "Supplementary information related to the Sea-Ice | ||
333 | Edge Phytoplankton Bloom Dataset\r\n\r\n", | 360 | Edge Phytoplankton Bloom Dataset\r\n\r\n", | ||
334 | "format": "PDF", | 361 | "format": "PDF", | ||
335 | "hash": "", | 362 | "hash": "", | ||
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338 | "metadata_modified": "2021-11-05T02:09:41.478208", | 365 | "metadata_modified": "2021-11-05T02:09:41.478208", | ||
339 | "mimetype": "application/pdf", | 366 | "mimetype": "application/pdf", | ||
340 | "mimetype_inner": null, | 367 | "mimetype_inner": null, | ||
341 | "name": "Supplementary metadata", | 368 | "name": "Supplementary metadata", | ||
342 | "package_id": "49695e4c-2b6d-4144-8939-fe680eebf4c7", | 369 | "package_id": "49695e4c-2b6d-4144-8939-fe680eebf4c7", | ||
343 | "position": 1, | 370 | "position": 1, | ||
344 | "resCategory": "documents", | 371 | "resCategory": "documents", | ||
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346 | "size": 171264, | 373 | "size": 171264, | ||
347 | "state": "active", | 374 | "state": "active", | ||
348 | "url": | 375 | "url": | ||
349 | cf14-448e-8373-c409151b66ed/download/supplementary_info_barbedos.pdf", | 376 | cf14-448e-8373-c409151b66ed/download/supplementary_info_barbedos.pdf", | ||
350 | "url_type": "upload" | 377 | "url_type": "upload" | ||
351 | } | 378 | } | ||
352 | ], | 379 | ], | ||
353 | "rightsIdentifier": "CC-BY-4.0", | 380 | "rightsIdentifier": "CC-BY-4.0", | ||
354 | "rightsIdentifierScheme": "SPDX", | 381 | "rightsIdentifierScheme": "SPDX", | ||
355 | "rightsURI": "https://spdx.org/licenses/CC-BY-4.0.html", | 382 | "rightsURI": "https://spdx.org/licenses/CC-BY-4.0.html", | ||
356 | "spatial": | 383 | "spatial": | ||
357 | 86],[-96.5653278917,65.7796870686],[-96.5653278917,50.281440688]]]]}", | 384 | 86],[-96.5653278917,65.7796870686],[-96.5653278917,50.281440688]]]]}", | ||
358 | "spatial_regions": "hudson-bay", | 385 | "spatial_regions": "hudson-bay", | ||
359 | "startDate": "1998-01-01", | 386 | "startDate": "1998-01-01", | ||
360 | "startDateType": "Collected", | 387 | "startDateType": "Collected", | ||
361 | "state": "active", | 388 | "state": "active", | ||
362 | "status": "Planned", | 389 | "status": "Planned", | ||
363 | "subjectScheme": "Polar Data Catalogue", | 390 | "subjectScheme": "Polar Data Catalogue", | ||
364 | "supplementalResources": [ | 391 | "supplementalResources": [ | ||
365 | { | 392 | { | ||
366 | "ResourceTypeGeneral": "", | 393 | "ResourceTypeGeneral": "", | ||
367 | "name": "", | 394 | "name": "", | ||
368 | "relatedIdentifierType": "", | 395 | "relatedIdentifierType": "", | ||
369 | "relationship": "", | 396 | "relationship": "", | ||
370 | "resourceType": "Online Resource", | 397 | "resourceType": "Online Resource", | ||
371 | "seriesName": "" | 398 | "seriesName": "" | ||
372 | } | 399 | } | ||
373 | ], | 400 | ], | ||
374 | "tags": [ | 401 | "tags": [ | ||
375 | { | 402 | { | ||
376 | "display_name": "Hudson Bay", | 403 | "display_name": "Hudson Bay", | ||
377 | "id": "e8708f68-d619-4444-8951-96582b048848", | 404 | "id": "e8708f68-d619-4444-8951-96582b048848", | ||
378 | "name": "Hudson Bay", | 405 | "name": "Hudson Bay", | ||
379 | "state": "active", | 406 | "state": "active", | ||
380 | "vocabulary_id": null | 407 | "vocabulary_id": null | ||
381 | }, | 408 | }, | ||
382 | { | 409 | { | ||
383 | "display_name": "Marginal ice zone", | 410 | "display_name": "Marginal ice zone", | ||
384 | "id": "cd990eec-d872-49fd-b929-1d37a3949fa8", | 411 | "id": "cd990eec-d872-49fd-b929-1d37a3949fa8", | ||
385 | "name": "Marginal ice zone", | 412 | "name": "Marginal ice zone", | ||
386 | "state": "active", | 413 | "state": "active", | ||
387 | "vocabulary_id": null | 414 | "vocabulary_id": null | ||
388 | }, | 415 | }, | ||
389 | { | 416 | { | ||
390 | "display_name": "Phytoplankton", | 417 | "display_name": "Phytoplankton", | ||
391 | "id": "0b8a2d4b-1e9b-456a-968d-7dd3e8e93298", | 418 | "id": "0b8a2d4b-1e9b-456a-968d-7dd3e8e93298", | ||
392 | "name": "Phytoplankton", | 419 | "name": "Phytoplankton", | ||
393 | "state": "active", | 420 | "state": "active", | ||
394 | "vocabulary_id": null | 421 | "vocabulary_id": null | ||
395 | }, | 422 | }, | ||
396 | { | 423 | { | ||
397 | "display_name": "Sea ice", | 424 | "display_name": "Sea ice", | ||
398 | "id": "44971f11-ef93-4a43-9900-f32da30b84f7", | 425 | "id": "44971f11-ef93-4a43-9900-f32da30b84f7", | ||
399 | "name": "Sea ice", | 426 | "name": "Sea ice", | ||
400 | "state": "active", | 427 | "state": "active", | ||
401 | "vocabulary_id": null | 428 | "vocabulary_id": null | ||
402 | } | 429 | } | ||
403 | ], | 430 | ], | ||
404 | "theme": [ | 431 | "theme": [ | ||
405 | "3707ff10-6424-4858-9ec9-7d67b38831b3", | 432 | "3707ff10-6424-4858-9ec9-7d67b38831b3", | ||
406 | "98238b1c-5be8-41ad-8c6e-74cdc4f5f369" | 433 | "98238b1c-5be8-41ad-8c6e-74cdc4f5f369" | ||
407 | ], | 434 | ], | ||
408 | "title": "Sea-ice edge phytoplankton bloom", | 435 | "title": "Sea-ice edge phytoplankton bloom", | ||
409 | "titleType": "Alternative Title", | 436 | "titleType": "Alternative Title", | ||
410 | "type": "dataset", | 437 | "type": "dataset", | ||
411 | "url": null, | 438 | "url": null, | ||
412 | "useTerms": "This project is governed by CanWIN\u2019s Terms of Use. | 439 | "useTerms": "This project is governed by CanWIN\u2019s Terms of Use. | ||
413 | You can view the full terms here | 440 | You can view the full terms here | ||
414 | manitoba.ca/wp-content/uploads/2019/10/CanWIN_DataPolicy_Nov2019.pdf). | 441 | manitoba.ca/wp-content/uploads/2019/10/CanWIN_DataPolicy_Nov2019.pdf). | ||
415 | \r\nCitation: The Data User should properly cite the Data Set in any | 442 | \r\nCitation: The Data User should properly cite the Data Set in any | ||
416 | publications or in the metadata of any derived data products that were | 443 | publications or in the metadata of any derived data products that were | ||
417 | produced using the Data Set. \r\nAcknowledgement: The Data User should | 444 | produced using the Data Set. \r\nAcknowledgement: The Data User should | ||
418 | acknowledge any institutional support or specific funding awards | 445 | acknowledge any institutional support or specific funding awards | ||
419 | referenced in the metadata accompanying this dataset in any | 446 | referenced in the metadata accompanying this dataset in any | ||
420 | publications where the Data Set contributed significantly to its | 447 | publications where the Data Set contributed significantly to its | ||
421 | content. Acknowledgements should identify the supporting party, the | 448 | content. Acknowledgements should identify the supporting party, the | ||
422 | party that received the support, and any identifying information such | 449 | party that received the support, and any identifying information such | ||
423 | as grant numbers. \r\nNotification: The Data User should notify the | 450 | as grant numbers. \r\nNotification: The Data User should notify the | ||
424 | Data Set Contact when any derivative work or publication based on or | 451 | Data Set Contact when any derivative work or publication based on or | ||
425 | derived from the Data Set is distributed. Notification will include an | 452 | derived from the Data Set is distributed. Notification will include an | ||
426 | explanation of how the Data Set was used to produce the derived work. | 453 | explanation of how the Data Set was used to produce the derived work. | ||
427 | \r\nCollaboration: The Data Set has been released in the spirit of | 454 | \r\nCollaboration: The Data Set has been released in the spirit of | ||
428 | open scientific collaboration. Data Users are thus strongly encouraged | 455 | open scientific collaboration. Data Users are thus strongly encouraged | ||
429 | to consider consultation, collaboration and/or co-authorship with the | 456 | to consider consultation, collaboration and/or co-authorship with the | ||
430 | Data Set Creator.", | 457 | Data Set Creator.", | ||
431 | "variablesMeasured": "Annual_MIZbloom, mg/m^3, | 458 | "variablesMeasured": "Annual_MIZbloom, mg/m^3, | ||
432 | Annual_SeaIce_Retreat, \tDay of the year", | 459 | Annual_SeaIce_Retreat, \tDay of the year", | ||
433 | "version": null | 460 | "version": null | ||
434 | } | 461 | } |