Changes

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "Creator": "Creator",
2
  "Creator": "Creator",
            
3
  "Date": "2022-04-08",
3
  "Date": "2022-04-08",
            
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": "Zooplankton data",
9
  "ResourceType": "Zooplankton data",
            
10
  "Rights": "Creative Commons Attribution 4.0 International",
10
  "Rights": "Creative Commons Attribution 4.0 International",
            
11
  "Version": "1.0",
11
  "Version": "1.0",
            
12
  "accessTerms": "CanWIN datasets are licensed individually, however 
12
  "accessTerms": "CanWIN datasets are licensed individually, however 
            
13
most are licensed under the Creative Commons Attribution 4.0 
13
most are licensed under the Creative Commons Attribution 4.0 
            
14
International (CC BY 4.0) Public License. Details for the licence 
14
International (CC BY 4.0) Public License. Details for the licence 
            
15
applied can be found using the Licence URL link provided with each 
15
applied can be found using the Licence URL link provided with each 
            
16
dataset. \r\nBy using data and information provided on this site you 
16
dataset. \r\nBy using data and information provided on this site you 
            
17
accept the terms and conditions of the License. Unless otherwise 
17
accept the terms and conditions of the License. Unless otherwise 
            
18
specified, the license grants the rights to the public to use and 
18
specified, the license grants the rights to the public to use and 
            
19
share the data and results derived therefrom as long as the proper 
19
share the data and results derived therefrom as long as the proper 
            
20
acknowledgment is given to the data licensor (citation), that any 
20
acknowledgment is given to the data licensor (citation), that any 
            
21
alteration to the data is clearly indicated, and that a link to the 
21
alteration to the data is clearly indicated, and that a link to the 
            
22
original data and the license is made available.",
22
original data and the license is made available.",
            
23
  "activityCollectionType": "",
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": "",
33
  "analyticalMethodName": "",
            
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": "Schembri, Sarah",
45
  "contributorName": "Schembri, Sarah",
            
46
  "contributorType": "DataCurator",
46
  "contributorType": "DataCurator",
            
47
  "contributors": [
47
  "contributors": [
            
48
    {
48
    {
            
49
      "affiliation": "",
49
      "affiliation": "",
            
50
      "contributorName": "",
50
      "contributorName": "",
            
51
      "contributorType": "",
51
      "contributorType": "",
            
52
      "email": "",
52
      "email": "",
            
53
      "nameIdentifier": ""
53
      "nameIdentifier": ""
            
54
    }
54
    }
            
55
  ],
55
  ],
            
56
  "creatorName": [
56
  "creatorName": [
            
57
    {
57
    {
            
58
      "author": "Schembri, Sarah",
58
      "author": "Schembri, Sarah",
            
59
      "creatorAffiliation": "Universit\u00e9 Laval",
59
      "creatorAffiliation": "Universit\u00e9 Laval",
            
60
      "creatorEmail": "sarah.schembri.1@ulaval.ca",
60
      "creatorEmail": "sarah.schembri.1@ulaval.ca",
            
61
      "creatorNameIdentifier": "",
61
      "creatorNameIdentifier": "",
            
62
      "nameType": "Personal"
62
      "nameType": "Personal"
            
63
    }
63
    }
            
64
  ],
64
  ],
            
65
  "creator_user_id": "59fdde0d-f226-4e5e-99ba-562b96c239a0",
65
  "creator_user_id": "59fdde0d-f226-4e5e-99ba-562b96c239a0",
            
66
  "dataCuratorAffiliation": "Universit\u00e9 Laval",
66
  "dataCuratorAffiliation": "Universit\u00e9 Laval",
            
67
  "dataCuratorEmail": "sarah.schembri.1@ulaval.ca",
67
  "dataCuratorEmail": "sarah.schembri.1@ulaval.ca",
            
68
  "datasetCitation": "",
68
  "datasetCitation": "",
            
69
  "datasetLevel": "",
69
  "datasetLevel": "",
            
70
  "datasetPublisher": "CanWIN",
70
  "datasetPublisher": "CanWIN",
            
71
  "dateType": "Updated",
71
  "dateType": "Updated",
            
72
  "descriptionType": "Abstract",
72
  "descriptionType": "Abstract",
            
73
  "embargoDate": "",
73
  "embargoDate": "",
            
74
  "endDate": "2018-07-12",
74
  "endDate": "2018-07-12",
            
75
  "endDateType": "Other",
75
  "endDateType": "Other",
            
76
  "frequency": "Not planned",
76
  "frequency": "Not planned",
            
77
  "funderIdentifierType": "",
77
  "funderIdentifierType": "",
            
78
  "funderName": "",
78
  "funderName": "",
            
79
  "funderSchemeURI": "",
79
  "funderSchemeURI": "",
            
80
  "groups": [
80
  "groups": [
            
81
    {
81
    {
            
82
      "description": "Features and characteristics of salt water 
82
      "description": "Features and characteristics of salt water 
            
83
bodies.\r\n\r\nIn CEOS, related research themes include 
83
bodies.\r\n\r\nIn CEOS, related research themes include 
            
84
biogeochemistry, modelling, marine mammals, oil spill response, 
84
biogeochemistry, modelling, marine mammals, oil spill response, 
            
85
physical oceanography, remote sensing and technology and trace metals 
85
physical oceanography, remote sensing and technology and trace metals 
            
86
and contaminants",
86
and contaminants",
            
87
      "display_name": "Marine",
87
      "display_name": "Marine",
            
88
      "id": "98238b1c-5be8-41ad-8c6e-74cdc4f5f369",
88
      "id": "98238b1c-5be8-41ad-8c6e-74cdc4f5f369",
            
89
      "image_display_url": 
89
      "image_display_url": 
            
90
ata/uploads/group/2021-10-31-211516.365746ofinspireoceanographic.svg",
90
ata/uploads/group/2021-10-31-211516.365746ofinspireoceanographic.svg",
            
91
      "name": "marine",
91
      "name": "marine",
            
92
      "title": "Marine"
92
      "title": "Marine"
            
93
    }
93
    }
            
94
  ],
94
  ],
            
95
  "id": "2bbfc4c5-dfb4-405a-983b-623fee3d4449",
95
  "id": "2bbfc4c5-dfb4-405a-983b-623fee3d4449",
            
96
  "isopen": false,
96
  "isopen": false,
            
97
  "keywords": "Hudson 
97
  "keywords": "Hudson 
            
98
Bay,Zooplankton,Copepods,Taxonomy,June,July,September,October",
98
Bay,Zooplankton,Copepods,Taxonomy,June,July,September,October",
            
99
  "kvSchemeURI": 
99
  "kvSchemeURI": 
            
100
"https://www.polardata.ca/pdcinput/public/keywordlibrary",
100
"https://www.polardata.ca/pdcinput/public/keywordlibrary",
            
101
  "laboratory": "",
101
  "laboratory": "",
            
102
  "licenceShemeURI": "https://spdx.org/licenses",
102
  "licenceShemeURI": "https://spdx.org/licenses",
            
103
  "licenceType": "Open",
103
  "licenceType": "Open",
            
104
  "license_id": null,
104
  "license_id": null,
            
105
  "license_title": null,
105
  "license_title": null,
            
106
  "maintainer": null,
106
  "maintainer": null,
            
107
  "maintainer_email": null,
107
  "maintainer_email": null,
            
108
  "metadata_created": "2022-04-12T20:51:36.299673",
108
  "metadata_created": "2022-04-12T20:51:36.299673",
            
n
109
  "metadata_modified": "2022-04-12T20:51:36.299679",
n
109
  "metadata_modified": "2022-04-12T20:53:44.191758",
            
110
  "methodCitation": "",
110
  "methodCitation": "",
            
111
  "methodDescrioption": "A 4.5 m long, square-conical net with a mesh 
111
  "methodDescrioption": "A 4.5 m long, square-conical net with a mesh 
            
112
size of 200 \u00b5m, a 1m2 aperture, and a rigid, detachable cod end. 
112
size of 200 \u00b5m, a 1m2 aperture, and a rigid, detachable cod end. 
            
113
Trawled vertically from 10m above the bottom to the surface.",
113
Trawled vertically from 10m above the bottom to the surface.",
            
114
  "methodDescriptionType": "Methods",
114
  "methodDescriptionType": "Methods",
            
115
  "methodLink": "",
115
  "methodLink": "",
            
116
  "methodSummary": "",
116
  "methodSummary": "",
            
117
  "methodUrl": "",
117
  "methodUrl": "",
            
118
  "name": "mesozooplankton-taxonomy",
118
  "name": "mesozooplankton-taxonomy",
            
119
  "notes": "Taxonomic identification and abundance of mesozooplankton 
119
  "notes": "Taxonomic identification and abundance of mesozooplankton 
            
120
in the Hudson Bay system. The data set combines vertical tows carried 
120
in the Hudson Bay system. The data set combines vertical tows carried 
            
121
out in five different expedition aboard the CCGS Amundsen in 2005, 
121
out in five different expedition aboard the CCGS Amundsen in 2005, 
            
122
2010, 2012, 2017, 2018. Species identification was carried out at the 
122
2010, 2012, 2017, 2018. Species identification was carried out at the 
            
123
Fortier lab in Universit\u00e9 Laval.",
123
Fortier lab in Universit\u00e9 Laval.",
            
n
124
  "num_resources": 0,
n
124
  "num_resources": 1,
            
125
  "num_tags": 8,
125
  "num_tags": 8,
            
126
  "organization": {
126
  "organization": {
            
127
    "approval_status": "approved",
127
    "approval_status": "approved",
            
128
    "created": "2017-07-21T13:15:49.935872",
128
    "created": "2017-07-21T13:15:49.935872",
            
129
    "description": "The Centre for Earth Observation Science (CEOS) 
129
    "description": "The Centre for Earth Observation Science (CEOS) 
            
130
was established in 1994 with a mandate to research, preserve and 
130
was established in 1994 with a mandate to research, preserve and 
            
131
communicate knowledge of Earth system processes using the technologies 
131
communicate knowledge of Earth system processes using the technologies 
            
132
of Earth Observation Science. Research is multidisciplinary and 
132
of Earth Observation Science. Research is multidisciplinary and 
            
133
collaborative seeking to understand the complex interrelationships 
133
collaborative seeking to understand the complex interrelationships 
            
134
between elements of Earth systems, and how these systems will likely 
134
between elements of Earth systems, and how these systems will likely 
            
135
respond to climate change. Although researchers have worked in many 
135
respond to climate change. Although researchers have worked in many 
            
136
regions, the Arctic marine system has always been a unifying focus of 
136
regions, the Arctic marine system has always been a unifying focus of 
            
137
activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate 
137
activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate 
            
138
Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre 
138
Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre 
            
139
(ARC, Aarhus, Denmark) established the Arctic Science Partnership, 
139
(ARC, Aarhus, Denmark) established the Arctic Science Partnership, 
            
140
thereby integrating academic and research initiatives.\r\n\r\nAreas of 
140
thereby integrating academic and research initiatives.\r\n\r\nAreas of 
            
141
existing research activity are divided among key themes:\r\n\r\nArctic 
141
existing research activity are divided among key themes:\r\n\r\nArctic 
            
142
Anthropology/Paleoclimatology: LiDAR scanning and digital site 
142
Anthropology/Paleoclimatology: LiDAR scanning and digital site 
            
143
preservation, archaeo-geophysics, permafrost degredation, lithic 
143
preservation, archaeo-geophysics, permafrost degredation, lithic 
            
144
morphometrics, zooarchaeology, proxy studies, paleodistribution of sea 
144
morphometrics, zooarchaeology, proxy studies, paleodistribution of sea 
            
145
ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, 
145
ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, 
            
146
ethnographic analogy, traditional knowledge, climate change and 
146
ethnographic analogy, traditional knowledge, climate change and 
            
147
northern heritage resource management.\r\n\r\nAtmospheric 
147
northern heritage resource management.\r\n\r\nAtmospheric 
            
148
Studies/Meteorology: Boundary layer, precipitation, clouds, storms and 
148
Studies/Meteorology: Boundary layer, precipitation, clouds, storms and 
            
149
extreme weather, circulation, eddy correlations, polar vortex, 
149
extreme weather, circulation, eddy correlations, polar vortex, 
            
150
climate, teleconnections, geophysical fluid dynamics, flux and energy 
150
climate, teleconnections, geophysical fluid dynamics, flux and energy 
            
151
budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice 
151
budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice 
            
152
albedo feedback, cloud radiative forcing, pCO2. 
152
albedo feedback, cloud radiative forcing, pCO2. 
            
153
\r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, 
153
\r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, 
            
154
Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace 
154
Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace 
            
155
metals, minerals, hydrocarbons, brine processes, otolith 
155
metals, minerals, hydrocarbons, brine processes, otolith 
            
156
microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, 
156
microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, 
            
157
trace metals, PAHs, source, transport, transformation, pathways, 
157
trace metals, PAHs, source, transport, transformation, pathways, 
            
158
bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth 
158
bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth 
            
159
Observation Science: Active and passive microwave, LiDAR, EM 
159
Observation Science: Active and passive microwave, LiDAR, EM 
            
160
induction, spatial-temporal analysis, forward and inverse scattering 
160
induction, spatial-temporal analysis, forward and inverse scattering 
            
161
models, complex permittivity, ocean colour, ocean surface roughness, 
161
models, complex permittivity, ocean colour, ocean surface roughness, 
            
162
NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: 
162
NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: 
            
163
Biophysical processes, primary production; ice algae, ice 
163
Biophysical processes, primary production; ice algae, ice 
            
164
microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland 
164
microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland 
            
165
Lakes and Waters: Hydrologic connectivity, watershed systems, sediment 
165
Lakes and Waters: Hydrologic connectivity, watershed systems, sediment 
            
166
transport, nutrient transport, contaminants, landscape processes, 
166
transport, nutrient transport, contaminants, landscape processes, 
            
167
remote sensing, freshwater-marine coupling. Marine Mammals: Seals, 
167
remote sensing, freshwater-marine coupling. Marine Mammals: Seals, 
            
168
whales, habitat, conservation, satellite telemetry, distribution, 
168
whales, habitat, conservation, satellite telemetry, distribution, 
            
169
population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: 
169
population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: 
            
170
Simulation of sea ice and oceanic regional processes, Nucleus for 
170
Simulation of sea ice and oceanic regional processes, Nucleus for 
            
171
European Modelling of the Ocean (NEMO), ice-ocean modelling and 
171
European Modelling of the Ocean (NEMO), ice-ocean modelling and 
            
172
interactions, hind cast simulations and projections for sea ice state 
172
interactions, hind cast simulations and projections for sea ice state 
            
173
and ocean variables based on CMIP5 scenarios and MIROC5 forcing, 
173
and ocean variables based on CMIP5 scenarios and MIROC5 forcing, 
            
174
validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and 
174
validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and 
            
175
out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy 
175
out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy 
            
176
correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic 
176
correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic 
            
177
processes, extreme ice features and hazards, snow, ridges, 
177
processes, extreme ice features and hazards, snow, ridges, 
            
178
polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, 
178
polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, 
            
179
Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, 
179
Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, 
            
180
hunting, food security, sea ice use, community-based research, 
180
hunting, food security, sea ice use, community-based research, 
            
181
community-based monitoring, two ways of knowing.",
181
community-based monitoring, two ways of knowing.",
            
182
    "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071",
182
    "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071",
            
183
    "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg",
183
    "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg",
            
184
    "is_organization": true,
184
    "is_organization": true,
            
185
    "name": "ceos2",
185
    "name": "ceos2",
            
186
    "state": "active",
186
    "state": "active",
            
187
    "title": "CEOS",
187
    "title": "CEOS",
            
188
    "type": "organization"
188
    "type": "organization"
            
189
  },
189
  },
            
190
  "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071",
190
  "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071",
            
191
  "private": false,
191
  "private": false,
            
192
  "publications": [
192
  "publications": [
            
193
    {
193
    {
            
194
      "RelatedIdentifier": "",
194
      "RelatedIdentifier": "",
            
195
      "ResourceTypeGeneral": "",
195
      "ResourceTypeGeneral": "",
            
196
      "name": "",
196
      "name": "",
            
197
      "relatedIdentifierType": "",
197
      "relatedIdentifierType": "",
            
198
      "relationType": "",
198
      "relationType": "",
            
199
      "resourceType": "Online Resource"
199
      "resourceType": "Online Resource"
            
200
    }
200
    }
            
201
  ],
201
  ],
            
202
  "relatedIdentifier": "",
202
  "relatedIdentifier": "",
            
203
  "related_campaigns": "[]",
203
  "related_campaigns": "[]",
            
204
  "related_deployments": "[]",
204
  "related_deployments": "[]",
            
205
  "related_instruments": "[]",
205
  "related_instruments": "[]",
            
206
  "related_platforms": "[]",
206
  "related_platforms": "[]",
            
207
  "related_programs": "[]",
207
  "related_programs": "[]",
            
208
  "related_publications": "[]",
208
  "related_publications": "[]",
            
209
  "relationships_as_object": [],
209
  "relationships_as_object": [],
            
210
  "relationships_as_subject": [],
210
  "relationships_as_subject": [],
            
211
  "resourceTypeGeneral": "Dataset",
211
  "resourceTypeGeneral": "Dataset",
            
t
212
  "resources": [],
t
212
  "resources": [
            
213
    {
            
214
      "cache_last_updated": null,
            
215
      "cache_url": null,
            
216
      "created": "2022-04-12T20:53:44.213510",
            
217
      "datastore_active": false,
            
218
      "datastore_contains_all_records_of_source_file": false,
            
219
      "description": "Taxonomic identification and abundance of 
            
220
mesozooplankton in the Hudson Bay system.",
            
221
      "format": "CSV",
            
222
      "hash": "",
            
223
      "id": "41b22ebd-5df4-4fce-b66c-d1dbebcefb6d",
            
224
      "last_modified": "2022-04-12T20:53:44.145412",
            
225
      "metadata_modified": "2022-04-12T20:53:44.196477",
            
226
      "mimetype": "text/csv",
            
227
      "mimetype_inner": null,
            
228
      "name": "Taxonomy of mesozooplankton",
            
229
      "package_id": "2bbfc4c5-dfb4-405a-983b-623fee3d4449",
            
230
      "position": 0,
            
231
      "resCategory": "data",
            
232
      "resource_type": null,
            
233
      "size": 446270,
            
234
      "state": "active",
            
235
      "url": 
            
236
ebd-5df4-4fce-b66c-d1dbebcefb6d/download/sschembri_zoo_2022_data.csv",
            
237
      "url_type": "upload"
            
238
    }
            
239
  ],
            
213
  "rightsIdentifier": "CC-BY-4.0",
240
  "rightsIdentifier": "CC-BY-4.0",
            
214
  "rightsIdentifierScheme": "SPDX",
241
  "rightsIdentifierScheme": "SPDX",
            
215
  "rightsURI": "https://spdx.org/licenses/CC-BY-4.0.html",
242
  "rightsURI": "https://spdx.org/licenses/CC-BY-4.0.html",
            
216
  "sample_collection": [
243
  "sample_collection": [
            
217
    {
244
    {
            
218
      "instrumentTitle": "Square-conical net",
245
      "instrumentTitle": "Square-conical net",
            
219
      "methodTitle": "Fish Collection",
246
      "methodTitle": "Fish Collection",
            
220
      "standardized_instrument_name": "fish aggregating devices/FAD"
247
      "standardized_instrument_name": "fish aggregating devices/FAD"
            
221
    }
248
    }
            
222
  ],
249
  ],
            
223
  "spatial": 
250
  "spatial": 
            
224
686],[-96.5653278917,65.7796870686],[-96.5653278917,50.281440688]]]}",
251
686],[-96.5653278917,65.7796870686],[-96.5653278917,50.281440688]]]}",
            
225
  "spatial_regions": "hudson-bay",
252
  "spatial_regions": "hudson-bay",
            
226
  "startDate": "2005-09-22",
253
  "startDate": "2005-09-22",
            
227
  "startDateType": "Collected",
254
  "startDateType": "Collected",
            
228
  "state": "draft",
255
  "state": "draft",
            
229
  "status": "Complete",
256
  "status": "Complete",
            
230
  "subjectScheme": "Polar Data Catalogue",
257
  "subjectScheme": "Polar Data Catalogue",
            
231
  "supplementalResources": [
258
  "supplementalResources": [
            
232
    {
259
    {
            
233
      "RelatedIdentifier": "",
260
      "RelatedIdentifier": "",
            
234
      "ResourceTypeGeneral": "",
261
      "ResourceTypeGeneral": "",
            
235
      "name": "",
262
      "name": "",
            
236
      "relatedIdentifierType": "",
263
      "relatedIdentifierType": "",
            
237
      "relationship": "",
264
      "relationship": "",
            
238
      "resourceType": "Online Resource",
265
      "resourceType": "Online Resource",
            
239
      "seriesName": ""
266
      "seriesName": ""
            
240
    }
267
    }
            
241
  ],
268
  ],
            
242
  "tags": [
269
  "tags": [
            
243
    {
270
    {
            
244
      "display_name": "Copepods",
271
      "display_name": "Copepods",
            
245
      "id": "80cb1620-dddf-49f5-b9ae-d4394af7f819",
272
      "id": "80cb1620-dddf-49f5-b9ae-d4394af7f819",
            
246
      "name": "Copepods",
273
      "name": "Copepods",
            
247
      "state": "active",
274
      "state": "active",
            
248
      "vocabulary_id": null
275
      "vocabulary_id": null
            
249
    },
276
    },
            
250
    {
277
    {
            
251
      "display_name": "Hudson Bay",
278
      "display_name": "Hudson Bay",
            
252
      "id": "e8708f68-d619-4444-8951-96582b048848",
279
      "id": "e8708f68-d619-4444-8951-96582b048848",
            
253
      "name": "Hudson Bay",
280
      "name": "Hudson Bay",
            
254
      "state": "active",
281
      "state": "active",
            
255
      "vocabulary_id": null
282
      "vocabulary_id": null
            
256
    },
283
    },
            
257
    {
284
    {
            
258
      "display_name": "July",
285
      "display_name": "July",
            
259
      "id": "e8db316d-5a65-49c1-9680-dae3e1741d79",
286
      "id": "e8db316d-5a65-49c1-9680-dae3e1741d79",
            
260
      "name": "July",
287
      "name": "July",
            
261
      "state": "active",
288
      "state": "active",
            
262
      "vocabulary_id": null
289
      "vocabulary_id": null
            
263
    },
290
    },
            
264
    {
291
    {
            
265
      "display_name": "June",
292
      "display_name": "June",
            
266
      "id": "8abd10ac-c6c7-4647-9294-7b3899291210",
293
      "id": "8abd10ac-c6c7-4647-9294-7b3899291210",
            
267
      "name": "June",
294
      "name": "June",
            
268
      "state": "active",
295
      "state": "active",
            
269
      "vocabulary_id": null
296
      "vocabulary_id": null
            
270
    },
297
    },
            
271
    {
298
    {
            
272
      "display_name": "October",
299
      "display_name": "October",
            
273
      "id": "0e81483b-9fea-4f78-a959-d3c4ba09d625",
300
      "id": "0e81483b-9fea-4f78-a959-d3c4ba09d625",
            
274
      "name": "October",
301
      "name": "October",
            
275
      "state": "active",
302
      "state": "active",
            
276
      "vocabulary_id": null
303
      "vocabulary_id": null
            
277
    },
304
    },
            
278
    {
305
    {
            
279
      "display_name": "September",
306
      "display_name": "September",
            
280
      "id": "da60ee1e-1023-4f99-b707-21c216fc7485",
307
      "id": "da60ee1e-1023-4f99-b707-21c216fc7485",
            
281
      "name": "September",
308
      "name": "September",
            
282
      "state": "active",
309
      "state": "active",
            
283
      "vocabulary_id": null
310
      "vocabulary_id": null
            
284
    },
311
    },
            
285
    {
312
    {
            
286
      "display_name": "Taxonomy",
313
      "display_name": "Taxonomy",
            
287
      "id": "ac8365f3-118a-4786-886e-f96ad81ceb7c",
314
      "id": "ac8365f3-118a-4786-886e-f96ad81ceb7c",
            
288
      "name": "Taxonomy",
315
      "name": "Taxonomy",
            
289
      "state": "active",
316
      "state": "active",
            
290
      "vocabulary_id": null
317
      "vocabulary_id": null
            
291
    },
318
    },
            
292
    {
319
    {
            
293
      "display_name": "Zooplankton",
320
      "display_name": "Zooplankton",
            
294
      "id": "13c93336-dd42-4987-b36c-99d9c6bbc438",
321
      "id": "13c93336-dd42-4987-b36c-99d9c6bbc438",
            
295
      "name": "Zooplankton",
322
      "name": "Zooplankton",
            
296
      "state": "active",
323
      "state": "active",
            
297
      "vocabulary_id": null
324
      "vocabulary_id": null
            
298
    }
325
    }
            
299
  ],
326
  ],
            
300
  "theme": [
327
  "theme": [
            
301
    "98238b1c-5be8-41ad-8c6e-74cdc4f5f369"
328
    "98238b1c-5be8-41ad-8c6e-74cdc4f5f369"
            
302
  ],
329
  ],
            
303
  "title": "Mesozooplankton taxonomy",
330
  "title": "Mesozooplankton taxonomy",
            
304
  "titleType": "Alternative Title",
331
  "titleType": "Alternative Title",
            
305
  "type": "dataset",
332
  "type": "dataset",
            
306
  "url": null,
333
  "url": null,
            
307
  "useTerms": "By accessing this data you agree to [CanWIN's Terms of 
334
  "useTerms": "By accessing this data you agree to [CanWIN's Terms of 
            
308
anwin-data-statement/resource/5b942a87-ef4e-466e-8319-f588844e89c0).",
335
anwin-data-statement/resource/5b942a87-ef4e-466e-8319-f588844e89c0).",
            
309
  "variablesMeasured": "",
336
  "variablesMeasured": "",
            
310
  "version": null
337
  "version": null
            
311
}
338
}