Changes
On June 14, 2022 at 1:55:40 PM CDT, Yanique Campbell:
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Uploaded a new file to resource TSG data in Thermosalinograph data - William Kennedy
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Removed the following fields from resource TSG data in Thermosalinograph data - William Kennedy
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task_created
ignore_hash
set_url_type
ckan_url
original_url
resource_id
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Removed the value of field
datastore_contains_all_records_of_source_file
in resource TSG data in Thermosalinograph data - William Kennedy -
Changed value of field
url_type
to in resource TSG data in Thermosalinograph data - William Kennedy
f | 1 | { | f | 1 | { |
2 | "Creator": "Creator", | 2 | "Creator": "Creator", | ||
3 | "Date": "2021-11-23", | 3 | "Date": "2021-11-23", | ||
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": "thermosalinograph data", | 9 | "ResourceType": "thermosalinograph data", | ||
10 | "Rights": "Creative Commons Attribution 4.0 International", | 10 | "Rights": "Creative Commons Attribution 4.0 International", | ||
11 | "Version": "1.0", | 11 | "Version": "1.0", | ||
12 | "accessTerms": "CanWIN datasets are licensed individually, however | 12 | "accessTerms": "CanWIN datasets are licensed individually, however | ||
13 | most are licensed under the Creative Commons Attribution 4.0 | 13 | most are licensed under the Creative Commons Attribution 4.0 | ||
14 | International (CC BY 4.0) Public License. Details for the licence | 14 | International (CC BY 4.0) Public License. Details for the licence | ||
15 | applied can be found using the Licence URL link provided with each | 15 | applied can be found using the Licence URL link provided with each | ||
16 | dataset. \r\nBy using data and information provided on this site you | 16 | dataset. \r\nBy using data and information provided on this site you | ||
17 | accept the terms and conditions of the License. Unless otherwise | 17 | accept the terms and conditions of the License. Unless otherwise | ||
18 | specified, the license grants the rights to the public to use and | 18 | specified, the license grants the rights to the public to use and | ||
19 | share the data and results derived therefrom as long as the proper | 19 | share the data and results derived therefrom as long as the proper | ||
20 | acknowledgment is given to the data licensor (citation), that any | 20 | acknowledgment is given to the data licensor (citation), that any | ||
21 | alteration to the data is clearly indicated, and that a link to the | 21 | alteration to the data is clearly indicated, and that a link to the | ||
22 | original data and the license is made available.", | 22 | original data and the license is made available.", | ||
23 | "activityCollectionType": "Field Measurement", | 23 | "activityCollectionType": "Field Measurement", | ||
24 | "analyticalInstrument": [ | 24 | "analyticalInstrument": [ | ||
25 | { | 25 | { | ||
26 | "Title": "", | 26 | "Title": "", | ||
27 | "analyticalInstrumentIdentifier": "", | 27 | "analyticalInstrumentIdentifier": "", | ||
28 | "identifierType": "", | 28 | "identifierType": "", | ||
29 | "name": "", | 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": "Hunt, Janine", | 45 | "contributorName": "Hunt, Janine", | ||
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": "Hunt, Janine", | 51 | "contributorName": "Hunt, Janine", | ||
52 | "contributorType": "DataCollector", | 52 | "contributorType": "DataCollector", | ||
53 | "email": "janine.hunt@umanitoba.ca", | 53 | "email": "janine.hunt@umanitoba.ca", | ||
54 | "nameIdentifier": "" | 54 | "nameIdentifier": "" | ||
55 | } | 55 | } | ||
56 | ], | 56 | ], | ||
57 | "creatorName": [ | 57 | "creatorName": [ | ||
58 | { | 58 | { | ||
59 | "author": "Mundy, CJ", | 59 | "author": "Mundy, CJ", | ||
60 | "creatorAffiliation": "Centre for Earth Observation Science - | 60 | "creatorAffiliation": "Centre for Earth Observation Science - | ||
61 | University of Manitoba", | 61 | University of Manitoba", | ||
62 | "creatorEmail": "cj.mundy@umanitoba.ca", | 62 | "creatorEmail": "cj.mundy@umanitoba.ca", | ||
63 | "creatorNameIdentifier": "", | 63 | "creatorNameIdentifier": "", | ||
64 | "nameType": "Personal" | 64 | "nameType": "Personal" | ||
65 | } | 65 | } | ||
66 | ], | 66 | ], | ||
67 | "creator_user_id": "59fdde0d-f226-4e5e-99ba-562b96c239a0", | 67 | "creator_user_id": "59fdde0d-f226-4e5e-99ba-562b96c239a0", | ||
68 | "dataCuratorAffiliation": "Centre for Earth Observation Science - | 68 | "dataCuratorAffiliation": "Centre for Earth Observation Science - | ||
69 | University of Manitoba", | 69 | University of Manitoba", | ||
70 | "dataCuratorEmail": "janine.hunt@umanitoba.ca", | 70 | "dataCuratorEmail": "janine.hunt@umanitoba.ca", | ||
71 | "datasetCitation": "", | 71 | "datasetCitation": "", | ||
72 | "datasetIdentifier": "10.34992/8mk3-4r64", | 72 | "datasetIdentifier": "10.34992/8mk3-4r64", | ||
73 | "datasetLevel": "", | 73 | "datasetLevel": "", | ||
74 | "datasetPublisher": "CanWIN", | 74 | "datasetPublisher": "CanWIN", | ||
75 | "dateType": "Updated", | 75 | "dateType": "Updated", | ||
76 | "descriptionType": "Abstract", | 76 | "descriptionType": "Abstract", | ||
77 | "embargoDate": "", | 77 | "embargoDate": "", | ||
78 | "endDate": "2021-08-17", | 78 | "endDate": "2021-08-17", | ||
79 | "endDateType": "Other", | 79 | "endDateType": "Other", | ||
80 | "frequency": "As needed", | 80 | "frequency": "As needed", | ||
81 | "funderIdentifierType": "", | 81 | "funderIdentifierType": "", | ||
82 | "funderName": "", | 82 | "funderName": "", | ||
83 | "funderSchemeURI": "", | 83 | "funderSchemeURI": "", | ||
n | 84 | "groups": [], | n | 84 | "groups": [ |
85 | { | ||||
86 | "description": "Features and characteristics of salt water | ||||
87 | bodies.\r\n\r\nIn CEOS, related research themes include | ||||
88 | biogeochemistry, modelling, marine mammals, oil spill response, | ||||
89 | physical oceanography, remote sensing and technology and trace metals | ||||
90 | and contaminants", | ||||
91 | "display_name": "Marine", | ||||
92 | "id": "98238b1c-5be8-41ad-8c6e-74cdc4f5f369", | ||||
93 | "image_display_url": | ||||
94 | ata/uploads/group/2021-10-31-211516.365746ofinspireoceanographic.svg", | ||||
95 | "name": "marine", | ||||
96 | "title": "Marine" | ||||
97 | } | ||||
98 | ], | ||||
85 | "id": "1d9d92ac-8cc0-4347-9eba-c0bd4c2b265a", | 99 | "id": "1d9d92ac-8cc0-4347-9eba-c0bd4c2b265a", | ||
86 | "isopen": false, | 100 | "isopen": false, | ||
87 | "keywords": "Conductivity,Hudson Bay,James Bay,Salinity,Water | 101 | "keywords": "Conductivity,Hudson Bay,James Bay,Salinity,Water | ||
88 | temperature", | 102 | temperature", | ||
89 | "kvSchemeURI": | 103 | "kvSchemeURI": | ||
90 | "https://www.polardata.ca/pdcinput/public/keywordlibrary", | 104 | "https://www.polardata.ca/pdcinput/public/keywordlibrary", | ||
91 | "laboratory": "", | 105 | "laboratory": "", | ||
92 | "licenceShemeURI": "https://spdx.org/licenses", | 106 | "licenceShemeURI": "https://spdx.org/licenses", | ||
93 | "licenceType": "Open", | 107 | "licenceType": "Open", | ||
94 | "license_id": null, | 108 | "license_id": null, | ||
95 | "license_title": null, | 109 | "license_title": null, | ||
96 | "maintainer": null, | 110 | "maintainer": null, | ||
97 | "maintainer_email": null, | 111 | "maintainer_email": null, | ||
98 | "metadata_created": "2022-04-18T16:38:30.887754", | 112 | "metadata_created": "2022-04-18T16:38:30.887754", | ||
n | 99 | "metadata_modified": "2022-05-02T14:37:29.676462", | n | 113 | "metadata_modified": "2022-06-14T18:55:40.348503", |
100 | "methodCitation": "", | 114 | "methodCitation": "", | ||
101 | "methodDescrioption": "The thermosalinograph was integrated into a | 115 | "methodDescrioption": "The thermosalinograph was integrated into a | ||
102 | flow-through system which is comprised of a series of tubes and pumps | 116 | flow-through system which is comprised of a series of tubes and pumps | ||
103 | which pull water in from the bow of the ship just below the surface | 117 | which pull water in from the bow of the ship just below the surface | ||
104 | (~4m). The instrument collects real-time data which is saved on a | 118 | (~4m). The instrument collects real-time data which is saved on a | ||
105 | computer through Seasave software. To download the data off the field | 119 | computer through Seasave software. To download the data off the field | ||
106 | computer, logging has to be stopped and restarted after the download, | 120 | computer, logging has to be stopped and restarted after the download, | ||
107 | separating the data into legs. \r\n\r\nPosition (lat/long) was | 121 | separating the data into legs. \r\n\r\nPosition (lat/long) was | ||
108 | recorded with a NMEA GPS device, which was then connected and synced | 122 | recorded with a NMEA GPS device, which was then connected and synced | ||
109 | with thermosalinograph real-time data through the Seabird deck-box. ", | 123 | with thermosalinograph real-time data through the Seabird deck-box. ", | ||
110 | "methodDescriptionType": "Methods", | 124 | "methodDescriptionType": "Methods", | ||
111 | "methodLink": "", | 125 | "methodLink": "", | ||
112 | "methodSummary": "", | 126 | "methodSummary": "", | ||
113 | "methodUrl": "", | 127 | "methodUrl": "", | ||
114 | "name": "thermosalinograph-data-2021", | 128 | "name": "thermosalinograph-data-2021", | ||
115 | "notes": "Temperature and conductivity data collected from a | 129 | "notes": "Temperature and conductivity data collected from a | ||
116 | thermosalinograph (TSG) on the William Kennedy platform. Salinity, | 130 | thermosalinograph (TSG) on the William Kennedy platform. Salinity, | ||
117 | density, and a variety of other variables can be derived from the raw | 131 | density, and a variety of other variables can be derived from the raw | ||
118 | temperature and conductivity data.", | 132 | temperature and conductivity data.", | ||
119 | "num_resources": 4, | 133 | "num_resources": 4, | ||
120 | "num_tags": 5, | 134 | "num_tags": 5, | ||
121 | "organization": { | 135 | "organization": { | ||
122 | "approval_status": "approved", | 136 | "approval_status": "approved", | ||
123 | "created": "2017-07-21T13:15:49.935872", | 137 | "created": "2017-07-21T13:15:49.935872", | ||
124 | "description": "The Centre for Earth Observation Science (CEOS) | 138 | "description": "The Centre for Earth Observation Science (CEOS) | ||
125 | was established in 1994 with a mandate to research, preserve and | 139 | was established in 1994 with a mandate to research, preserve and | ||
126 | communicate knowledge of Earth system processes using the technologies | 140 | communicate knowledge of Earth system processes using the technologies | ||
127 | of Earth Observation Science. Research is multidisciplinary and | 141 | of Earth Observation Science. Research is multidisciplinary and | ||
128 | collaborative seeking to understand the complex interrelationships | 142 | collaborative seeking to understand the complex interrelationships | ||
129 | between elements of Earth systems, and how these systems will likely | 143 | between elements of Earth systems, and how these systems will likely | ||
130 | respond to climate change. Although researchers have worked in many | 144 | respond to climate change. Although researchers have worked in many | ||
131 | regions, the Arctic marine system has always been a unifying focus of | 145 | regions, the Arctic marine system has always been a unifying focus of | ||
132 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | 146 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | ||
133 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | 147 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | ||
134 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | 148 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | ||
135 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | 149 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | ||
136 | existing research activity are divided among key themes:\r\n\r\nArctic | 150 | existing research activity are divided among key themes:\r\n\r\nArctic | ||
137 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | 151 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | ||
138 | preservation, archaeo-geophysics, permafrost degredation, lithic | 152 | preservation, archaeo-geophysics, permafrost degredation, lithic | ||
139 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | 153 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | ||
140 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | 154 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | ||
141 | ethnographic analogy, traditional knowledge, climate change and | 155 | ethnographic analogy, traditional knowledge, climate change and | ||
142 | northern heritage resource management.\r\n\r\nAtmospheric | 156 | northern heritage resource management.\r\n\r\nAtmospheric | ||
143 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | 157 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | ||
144 | extreme weather, circulation, eddy correlations, polar vortex, | 158 | extreme weather, circulation, eddy correlations, polar vortex, | ||
145 | climate, teleconnections, geophysical fluid dynamics, flux and energy | 159 | climate, teleconnections, geophysical fluid dynamics, flux and energy | ||
146 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | 160 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | ||
147 | albedo feedback, cloud radiative forcing, pCO2. | 161 | albedo feedback, cloud radiative forcing, pCO2. | ||
148 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | 162 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | ||
149 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | 163 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | ||
150 | metals, minerals, hydrocarbons, brine processes, otolith | 164 | metals, minerals, hydrocarbons, brine processes, otolith | ||
151 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | 165 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | ||
152 | trace metals, PAHs, source, transport, transformation, pathways, | 166 | trace metals, PAHs, source, transport, transformation, pathways, | ||
153 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | 167 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | ||
154 | Observation Science: Active and passive microwave, LiDAR, EM | 168 | Observation Science: Active and passive microwave, LiDAR, EM | ||
155 | induction, spatial-temporal analysis, forward and inverse scattering | 169 | induction, spatial-temporal analysis, forward and inverse scattering | ||
156 | models, complex permittivity, ocean colour, ocean surface roughness, | 170 | models, complex permittivity, ocean colour, ocean surface roughness, | ||
157 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | 171 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | ||
158 | Biophysical processes, primary production; ice algae, ice | 172 | Biophysical processes, primary production; ice algae, ice | ||
159 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | 173 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | ||
160 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | 174 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | ||
161 | transport, nutrient transport, contaminants, landscape processes, | 175 | transport, nutrient transport, contaminants, landscape processes, | ||
162 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | 176 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | ||
163 | whales, habitat, conservation, satellite telemetry, distribution, | 177 | whales, habitat, conservation, satellite telemetry, distribution, | ||
164 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | 178 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | ||
165 | Simulation of sea ice and oceanic regional processes, Nucleus for | 179 | Simulation of sea ice and oceanic regional processes, Nucleus for | ||
166 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | 180 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | ||
167 | interactions, hind cast simulations and projections for sea ice state | 181 | interactions, hind cast simulations and projections for sea ice state | ||
168 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | 182 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | ||
169 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | 183 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | ||
170 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | 184 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | ||
171 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | 185 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | ||
172 | processes, extreme ice features and hazards, snow, ridges, | 186 | processes, extreme ice features and hazards, snow, ridges, | ||
173 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | 187 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | ||
174 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | 188 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | ||
175 | hunting, food security, sea ice use, community-based research, | 189 | hunting, food security, sea ice use, community-based research, | ||
176 | community-based monitoring, two ways of knowing.", | 190 | community-based monitoring, two ways of knowing.", | ||
177 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 191 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
178 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | 192 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | ||
179 | "is_organization": true, | 193 | "is_organization": true, | ||
n | 180 | "name": "ceos2", | n | 194 | "name": "ceos", |
181 | "state": "active", | 195 | "state": "active", | ||
n | 182 | "title": "CEOS", | n | 196 | "title": "Centre for Earth Observation Science", |
183 | "type": "organization" | 197 | "type": "organization" | ||
184 | }, | 198 | }, | ||
185 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 199 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
186 | "private": false, | 200 | "private": false, | ||
187 | "publications": [ | 201 | "publications": [ | ||
188 | { | 202 | { | ||
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190 | "ResourceTypeGeneral": "", | 204 | "ResourceTypeGeneral": "", | ||
191 | "name": "", | 205 | "name": "", | ||
192 | "relatedIdentifierType": "", | 206 | "relatedIdentifierType": "", | ||
193 | "relationType": "", | 207 | "relationType": "", | ||
194 | "resourceType": "Online Resource" | 208 | "resourceType": "Online Resource" | ||
195 | } | 209 | } | ||
196 | ], | 210 | ], | ||
197 | "relatedIdentifier": "", | 211 | "relatedIdentifier": "", | ||
198 | "related_campaigns": "[]", | 212 | "related_campaigns": "[]", | ||
199 | "related_deployments": "[]", | 213 | "related_deployments": "[]", | ||
200 | "related_instruments": "[]", | 214 | "related_instruments": "[]", | ||
201 | "related_platforms": "[\"cb94ca4a-9700-44e0-8bc6-bc410bc5415b\"]", | 215 | "related_platforms": "[\"cb94ca4a-9700-44e0-8bc6-bc410bc5415b\"]", | ||
202 | "related_programs": "[]", | 216 | "related_programs": "[]", | ||
203 | "related_publications": "[]", | 217 | "related_publications": "[]", | ||
204 | "relationships_as_object": [], | 218 | "relationships_as_object": [], | ||
205 | "relationships_as_subject": [], | 219 | "relationships_as_subject": [], | ||
206 | "resourceTypeGeneral": "Dataset", | 220 | "resourceTypeGeneral": "Dataset", | ||
207 | "resources": [ | 221 | "resources": [ | ||
208 | { | 222 | { | ||
209 | "cache_last_updated": null, | 223 | "cache_last_updated": null, | ||
210 | "cache_url": null, | 224 | "cache_url": null, | ||
n | 211 | "ckan_url": "https://canwin-datahub.ad.umanitoba.ca", | n | ||
212 | "created": "2022-04-25T15:19:29.940873", | 225 | "created": "2022-04-25T15:19:29.940873", | ||
213 | "datastore_active": true, | 226 | "datastore_active": true, | ||
n | 214 | "datastore_contains_all_records_of_source_file": true, | n | 227 | "datastore_contains_all_records_of_source_file": false, |
215 | "description": "Thermosalinograph data from the William | 228 | "description": "Thermosalinograph data from the William | ||
216 | Kennedy", | 229 | Kennedy", | ||
217 | "format": "CSV", | 230 | "format": "CSV", | ||
218 | "hash": "2330092c9a49f2a3bed4a7de84613037", | 231 | "hash": "2330092c9a49f2a3bed4a7de84613037", | ||
219 | "id": "9c98eed5-9beb-4633-8a50-3f18b0678ef9", | 232 | "id": "9c98eed5-9beb-4633-8a50-3f18b0678ef9", | ||
n | 220 | "ignore_hash": true, | n | ||
221 | "last_modified": null, | 233 | "last_modified": null, | ||
n | 222 | "metadata_modified": "2022-04-25T15:19:39.752828", | n | 234 | "metadata_modified": "2022-06-14T18:55:40.353162", |
223 | "mimetype": null, | 235 | "mimetype": null, | ||
224 | "mimetype_inner": null, | 236 | "mimetype_inner": null, | ||
225 | "name": "TSG data", | 237 | "name": "TSG data", | ||
n | 226 | "original_url": | n | ||
227 | me&time%3E=2021-08-06T00%3A00%3A00Z&time%3C=2021-08-13T05%3A45%3A50Z", | ||||
228 | "package_id": "1d9d92ac-8cc0-4347-9eba-c0bd4c2b265a", | 238 | "package_id": "1d9d92ac-8cc0-4347-9eba-c0bd4c2b265a", | ||
229 | "position": 0, | 239 | "position": 0, | ||
230 | "resCategory": "data", | 240 | "resCategory": "data", | ||
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232 | "resource_type": null, | 241 | "resource_type": null, | ||
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234 | "size": null, | 242 | "size": null, | ||
235 | "state": "active", | 243 | "state": "active", | ||
n | 236 | "task_created": "2022-04-25 15:19:30.298272", | n | ||
237 | "url": | 244 | "url": | ||
n | 238 | me&time%3E=2021-08-06T00%3A00%3A00Z&time%3C=2021-08-13T05%3A45%3A50Z", | n | 245 | me&time%3E=2021-08-10T00%3A00%3A00Z&time%3C=2021-08-17T14%3A29%3A20Z", |
239 | "url_type": null | 246 | "url_type": "" | ||
240 | }, | 247 | }, | ||
241 | { | 248 | { | ||
242 | "cache_last_updated": null, | 249 | "cache_last_updated": null, | ||
243 | "cache_url": null, | 250 | "cache_url": null, | ||
244 | "created": "2022-04-25T19:15:18.004764", | 251 | "created": "2022-04-25T19:15:18.004764", | ||
245 | "datastore_active": false, | 252 | "datastore_active": false, | ||
246 | "datastore_contains_all_records_of_source_file": false, | 253 | "datastore_contains_all_records_of_source_file": false, | ||
247 | "description": "Cookbook highlighting the processing of | 254 | "description": "Cookbook highlighting the processing of | ||
248 | Thermosalinograph (TSG) data from the initial stages to the final form | 255 | Thermosalinograph (TSG) data from the initial stages to the final form | ||
249 | hosted by CanWIN.", | 256 | hosted by CanWIN.", | ||
250 | "format": "PDF", | 257 | "format": "PDF", | ||
251 | "hash": "", | 258 | "hash": "", | ||
252 | "id": "c1823c3d-23fd-44c0-87ca-5ba49e3de4ba", | 259 | "id": "c1823c3d-23fd-44c0-87ca-5ba49e3de4ba", | ||
253 | "last_modified": "2022-04-26T22:25:46.962437", | 260 | "last_modified": "2022-04-26T22:25:46.962437", | ||
t | 254 | "metadata_modified": "2022-04-26T22:25:47.012014", | t | 261 | "metadata_modified": "2022-06-14T18:55:40.353304", |
255 | "mimetype": "application/pdf", | 262 | "mimetype": "application/pdf", | ||
256 | "mimetype_inner": null, | 263 | "mimetype_inner": null, | ||
257 | "name": "TSG Cookbook", | 264 | "name": "TSG Cookbook", | ||
258 | "package_id": "1d9d92ac-8cc0-4347-9eba-c0bd4c2b265a", | 265 | "package_id": "1d9d92ac-8cc0-4347-9eba-c0bd4c2b265a", | ||
259 | "position": 1, | 266 | "position": 1, | ||
260 | "resCategory": "documents", | 267 | "resCategory": "documents", | ||
261 | "resource_type": null, | 268 | "resource_type": null, | ||
262 | "size": 629517, | 269 | "size": 629517, | ||
263 | "state": "active", | 270 | "state": "active", | ||
264 | "url": | 271 | "url": | ||
265 | ource/c1823c3d-23fd-44c0-87ca-5ba49e3de4ba/download/tsg_cookbook.pdf", | 272 | ource/c1823c3d-23fd-44c0-87ca-5ba49e3de4ba/download/tsg_cookbook.pdf", | ||
266 | "url_type": "upload" | 273 | "url_type": "upload" | ||
267 | }, | 274 | }, | ||
268 | { | 275 | { | ||
269 | "cache_last_updated": null, | 276 | "cache_last_updated": null, | ||
270 | "cache_url": null, | 277 | "cache_url": null, | ||
271 | "created": "2022-04-26T22:15:02.786594", | 278 | "created": "2022-04-26T22:15:02.786594", | ||
272 | "datastore_active": false, | 279 | "datastore_active": false, | ||
273 | "datastore_contains_all_records_of_source_file": false, | 280 | "datastore_contains_all_records_of_source_file": false, | ||
274 | "description": "Scripts for converting TSG CNV files without a | 281 | "description": "Scripts for converting TSG CNV files without a | ||
275 | date-time output to CSVs with date and time output.", | 282 | date-time output to CSVs with date and time output.", | ||
276 | "format": "ZIP", | 283 | "format": "ZIP", | ||
277 | "hash": "", | 284 | "hash": "", | ||
278 | "id": "3b4826d0-1ca7-4a7d-bb48-d4be740643f8", | 285 | "id": "3b4826d0-1ca7-4a7d-bb48-d4be740643f8", | ||
279 | "last_modified": "2022-04-26T22:15:02.716253", | 286 | "last_modified": "2022-04-26T22:15:02.716253", | ||
280 | "metadata_modified": "2022-04-26T22:20:51.226736", | 287 | "metadata_modified": "2022-04-26T22:20:51.226736", | ||
281 | "mimetype": "application/zip", | 288 | "mimetype": "application/zip", | ||
282 | "mimetype_inner": null, | 289 | "mimetype_inner": null, | ||
283 | "name": "TSG scripts", | 290 | "name": "TSG scripts", | ||
284 | "package_id": "1d9d92ac-8cc0-4347-9eba-c0bd4c2b265a", | 291 | "package_id": "1d9d92ac-8cc0-4347-9eba-c0bd4c2b265a", | ||
285 | "position": 2, | 292 | "position": 2, | ||
286 | "resCategory": "scripts", | 293 | "resCategory": "scripts", | ||
287 | "resource_type": null, | 294 | "resource_type": null, | ||
288 | "size": 3914, | 295 | "size": 3914, | ||
289 | "state": "active", | 296 | "state": "active", | ||
290 | "url": | 297 | "url": | ||
291 | ce/3b4826d0-1ca7-4a7d-bb48-d4be740643f8/download/cnv2csv_scripts.zip", | 298 | ce/3b4826d0-1ca7-4a7d-bb48-d4be740643f8/download/cnv2csv_scripts.zip", | ||
292 | "url_type": "upload" | 299 | "url_type": "upload" | ||
293 | }, | 300 | }, | ||
294 | { | 301 | { | ||
295 | "cache_last_updated": null, | 302 | "cache_last_updated": null, | ||
296 | "cache_url": null, | 303 | "cache_url": null, | ||
297 | "created": "2022-04-26T22:20:51.241110", | 304 | "created": "2022-04-26T22:20:51.241110", | ||
298 | "datastore_active": false, | 305 | "datastore_active": false, | ||
299 | "datastore_contains_all_records_of_source_file": false, | 306 | "datastore_contains_all_records_of_source_file": false, | ||
300 | "description": "Codebook describing the scripts used to convert | 307 | "description": "Codebook describing the scripts used to convert | ||
301 | TSG data to CSV files with date-time outputs.", | 308 | TSG data to CSV files with date-time outputs.", | ||
302 | "format": "PDF", | 309 | "format": "PDF", | ||
303 | "hash": "", | 310 | "hash": "", | ||
304 | "id": "b8e547c3-ed2e-4783-8156-d29169530241", | 311 | "id": "b8e547c3-ed2e-4783-8156-d29169530241", | ||
305 | "last_modified": "2022-04-26T22:20:51.174166", | 312 | "last_modified": "2022-04-26T22:20:51.174166", | ||
306 | "metadata_modified": "2022-04-26T22:25:47.012211", | 313 | "metadata_modified": "2022-04-26T22:25:47.012211", | ||
307 | "mimetype": "application/pdf", | 314 | "mimetype": "application/pdf", | ||
308 | "mimetype_inner": null, | 315 | "mimetype_inner": null, | ||
309 | "name": "TSG Codebook", | 316 | "name": "TSG Codebook", | ||
310 | "package_id": "1d9d92ac-8cc0-4347-9eba-c0bd4c2b265a", | 317 | "package_id": "1d9d92ac-8cc0-4347-9eba-c0bd4c2b265a", | ||
311 | "position": 3, | 318 | "position": 3, | ||
312 | "resCategory": "documents", | 319 | "resCategory": "documents", | ||
313 | "resource_type": null, | 320 | "resource_type": null, | ||
314 | "size": 97435, | 321 | "size": 97435, | ||
315 | "state": "active", | 322 | "state": "active", | ||
316 | "url": | 323 | "url": | ||
317 | ource/b8e547c3-ed2e-4783-8156-d29169530241/download/tsg_codebook.pdf", | 324 | ource/b8e547c3-ed2e-4783-8156-d29169530241/download/tsg_codebook.pdf", | ||
318 | "url_type": "upload" | 325 | "url_type": "upload" | ||
319 | } | 326 | } | ||
320 | ], | 327 | ], | ||
321 | "rightsIdentifier": "CC-BY-4.0", | 328 | "rightsIdentifier": "CC-BY-4.0", | ||
322 | "rightsIdentifierScheme": "SPDX", | 329 | "rightsIdentifierScheme": "SPDX", | ||
323 | "rightsURI": "https://spdx.org/licenses/CC-BY-4.0.html", | 330 | "rightsURI": "https://spdx.org/licenses/CC-BY-4.0.html", | ||
324 | "sample_collection": [ | 331 | "sample_collection": [ | ||
325 | { | 332 | { | ||
326 | "instrumentTitle": "Thermosalinograph (TSG)", | 333 | "instrumentTitle": "Thermosalinograph (TSG)", | ||
327 | "methodTitle": "Thermosalinograph data collection", | 334 | "methodTitle": "Thermosalinograph data collection", | ||
328 | "standardized_instrument_name": "" | 335 | "standardized_instrument_name": "" | ||
329 | } | 336 | } | ||
330 | ], | 337 | ], | ||
331 | "spatial": | 338 | "spatial": | ||
332 | 686],[-96.5653278917,65.7796870686],[-96.5653278917,50.281440688]]]}", | 339 | 686],[-96.5653278917,65.7796870686],[-96.5653278917,50.281440688]]]}", | ||
333 | "spatial_regions": "hudson-bay", | 340 | "spatial_regions": "hudson-bay", | ||
334 | "startDate": "2021-07-13", | 341 | "startDate": "2021-07-13", | ||
335 | "startDateType": "Collected", | 342 | "startDateType": "Collected", | ||
336 | "state": "active", | 343 | "state": "active", | ||
337 | "status": "In Progress", | 344 | "status": "In Progress", | ||
338 | "subjectScheme": "Polar Data Catalogue", | 345 | "subjectScheme": "Polar Data Catalogue", | ||
339 | "supplementalResources": [ | 346 | "supplementalResources": [ | ||
340 | { | 347 | { | ||
341 | "RelatedIdentifier": "", | 348 | "RelatedIdentifier": "", | ||
342 | "ResourceTypeGeneral": "", | 349 | "ResourceTypeGeneral": "", | ||
343 | "name": "", | 350 | "name": "", | ||
344 | "relatedIdentifierType": "", | 351 | "relatedIdentifierType": "", | ||
345 | "relationship": "", | 352 | "relationship": "", | ||
346 | "resourceType": "Online Resource", | 353 | "resourceType": "Online Resource", | ||
347 | "seriesName": "" | 354 | "seriesName": "" | ||
348 | } | 355 | } | ||
349 | ], | 356 | ], | ||
350 | "tags": [ | 357 | "tags": [ | ||
351 | { | 358 | { | ||
352 | "display_name": "Conductivity", | 359 | "display_name": "Conductivity", | ||
353 | "id": "d3abab83-b3ba-4fbb-9c5f-8f83cf86d748", | 360 | "id": "d3abab83-b3ba-4fbb-9c5f-8f83cf86d748", | ||
354 | "name": "Conductivity", | 361 | "name": "Conductivity", | ||
355 | "state": "active", | 362 | "state": "active", | ||
356 | "vocabulary_id": null | 363 | "vocabulary_id": null | ||
357 | }, | 364 | }, | ||
358 | { | 365 | { | ||
359 | "display_name": "Hudson Bay", | 366 | "display_name": "Hudson Bay", | ||
360 | "id": "e8708f68-d619-4444-8951-96582b048848", | 367 | "id": "e8708f68-d619-4444-8951-96582b048848", | ||
361 | "name": "Hudson Bay", | 368 | "name": "Hudson Bay", | ||
362 | "state": "active", | 369 | "state": "active", | ||
363 | "vocabulary_id": null | 370 | "vocabulary_id": null | ||
364 | }, | 371 | }, | ||
365 | { | 372 | { | ||
366 | "display_name": "James Bay", | 373 | "display_name": "James Bay", | ||
367 | "id": "bb56cf12-bf82-4c14-93b0-fd31f4e0f6e2", | 374 | "id": "bb56cf12-bf82-4c14-93b0-fd31f4e0f6e2", | ||
368 | "name": "James Bay", | 375 | "name": "James Bay", | ||
369 | "state": "active", | 376 | "state": "active", | ||
370 | "vocabulary_id": null | 377 | "vocabulary_id": null | ||
371 | }, | 378 | }, | ||
372 | { | 379 | { | ||
373 | "display_name": "Salinity", | 380 | "display_name": "Salinity", | ||
374 | "id": "c8b75fb5-9666-43fb-b878-09b2139f2caf", | 381 | "id": "c8b75fb5-9666-43fb-b878-09b2139f2caf", | ||
375 | "name": "Salinity", | 382 | "name": "Salinity", | ||
376 | "state": "active", | 383 | "state": "active", | ||
377 | "vocabulary_id": null | 384 | "vocabulary_id": null | ||
378 | }, | 385 | }, | ||
379 | { | 386 | { | ||
380 | "display_name": "Water temperature", | 387 | "display_name": "Water temperature", | ||
381 | "id": "c43b7f4f-0e5a-44f7-9d93-684de2c7fc79", | 388 | "id": "c43b7f4f-0e5a-44f7-9d93-684de2c7fc79", | ||
382 | "name": "Water temperature", | 389 | "name": "Water temperature", | ||
383 | "state": "active", | 390 | "state": "active", | ||
384 | "vocabulary_id": null | 391 | "vocabulary_id": null | ||
385 | } | 392 | } | ||
386 | ], | 393 | ], | ||
387 | "theme": [ | 394 | "theme": [ | ||
388 | "98238b1c-5be8-41ad-8c6e-74cdc4f5f369" | 395 | "98238b1c-5be8-41ad-8c6e-74cdc4f5f369" | ||
389 | ], | 396 | ], | ||
390 | "title": "Thermosalinograph data - William Kennedy", | 397 | "title": "Thermosalinograph data - William Kennedy", | ||
391 | "titleType": "Alternative Title", | 398 | "titleType": "Alternative Title", | ||
392 | "type": "dataset", | 399 | "type": "dataset", | ||
393 | "url": null, | 400 | "url": null, | ||
394 | "useTerms": "By accessing this data you agree to [CanWIN's Terms of | 401 | "useTerms": "By accessing this data you agree to [CanWIN's Terms of | ||
395 | anwin-data-statement/resource/5b942a87-ef4e-466e-8319-f588844e89c0).", | 402 | anwin-data-statement/resource/5b942a87-ef4e-466e-8319-f588844e89c0).", | ||
396 | "variablesMeasured": "Conductivity, temperature, salinity, latitude, | 403 | "variablesMeasured": "Conductivity, temperature, salinity, latitude, | ||
397 | longitude, time", | 404 | longitude, time", | ||
398 | "version": null | 405 | "version": null | ||
399 | } | 406 | } |