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{
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{
            
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  "Creator": "Creator",
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  "Creator": "Creator",
            
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  "Date": "2019-08-09",
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  "Date": "2019-08-09",
            
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  "IdentifierType": "DOI",
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  "IdentifierType": "DOI",
            
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  "PublicationYear": "2022",
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  "PublicationYear": "2022",
            
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  "Publisher": "CanWIN",
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  "Publisher": "CanWIN",
            
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  "RelatedIdentifierType": "URL",
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  "RelatedIdentifierType": "URL",
            
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  "RelationType": "IsSupplementTo",
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  "RelationType": "IsSupplementTo",
            
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  "ResourceType": "imagery",
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  "ResourceType": "imagery",
            
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  "Rights": "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 
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  "Rights": "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 
            
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International",
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International",
            
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  "Version": "1.0",
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  "Version": "1.0",
            
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  "accessTerms": "CanWIN datasets are licensed individually, however 
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  "accessTerms": "CanWIN datasets are licensed individually, however 
            
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most are licensed under the Creative Commons Attribution 4.0 
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most are licensed under the Creative Commons Attribution 4.0 
            
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International (CC BY 4.0) Public License. Details for the licence 
15
International (CC BY 4.0) Public License. Details for the licence 
            
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applied can be found using the Licence URL link provided with each 
16
applied can be found using the Licence URL link provided with each 
            
17
dataset. \r\nBy using data and information provided on this site you 
17
dataset. \r\nBy using data and information provided on this site you 
            
18
accept the terms and conditions of the License. Unless otherwise 
18
accept the terms and conditions of the License. Unless otherwise 
            
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specified, the license grants the rights to the public to use and 
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specified, the license grants the rights to the public to use and 
            
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share the data and results derived therefrom as long as the proper 
20
share the data and results derived therefrom as long as the proper 
            
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acknowledgment is given to the data licensor (citation), that any 
21
acknowledgment is given to the data licensor (citation), that any 
            
22
alteration to the data is clearly indicated, and that a link to the 
22
alteration to the data is clearly indicated, and that a link to the 
            
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original data and the license is made available.",
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original data and the license is made available.",
            
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  "activityCollectionType": "Field Measurement",
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  "activityCollectionType": "Field Measurement",
            
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  "analyticalMethodName": "",
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  "analyticalMethodName": "",
            
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  "author": null,
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  "author": null,
            
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  "author_email": null,
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  "author_email": null,
            
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  "campaignEndDate": "2019-08-09",
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  "campaignEndDate": "2019-08-09",
            
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  "campaignStartDate": "2019-07-28",
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  "campaignStartDate": "2019-07-28",
            
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  "comments": "",
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  "comments": "",
            
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  "contributorName": "Chan, Wayne",
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  "contributorName": "Chan, Wayne",
            
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  "contributorType": "DataCurator",
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  "contributorType": "DataCurator",
            
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  "contributors": [
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  "contributors": [
            
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    {
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    {
            
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      "affiliation": "Centre for Earth Observation Science - 
35
      "affiliation": "Centre for Earth Observation Science - 
            
36
University of Manitoba",
36
University of Manitoba",
            
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      "contributorName": "Harasyn, Madison",
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      "contributorName": "Harasyn, Madison",
            
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      "contributorType": "DataCollector",
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      "contributorType": "DataCollector",
            
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      "email": "Madison.harasyn@umanitoba.ca",
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      "email": "Madison.harasyn@umanitoba.ca",
            
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      "nameIdentifier": "https://orcid.org/0000-0002-5741-6766",
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      "nameIdentifier": "https://orcid.org/0000-0002-5741-6766",
            
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      "nameIdentifierScheme": "ORCID",
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      "nameIdentifierScheme": "ORCID",
            
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      "schemeURI": "http://orcid.org/"
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      "schemeURI": "http://orcid.org/"
            
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    },
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    },
            
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    {
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    {
            
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      "affiliation": "Centre for Earth Observation Science - 
45
      "affiliation": "Centre for Earth Observation Science - 
            
46
University of Manitoba",
46
University of Manitoba",
            
47
      "contributorName": "Chan, Wayne",
47
      "contributorName": "Chan, Wayne",
            
48
      "contributorType": "Researcher",
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      "contributorType": "Researcher",
            
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      "email": "wayne.chan@umanitoba.ca",
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      "email": "wayne.chan@umanitoba.ca",
            
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      "nameIdentifier": ""
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      "nameIdentifier": ""
            
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    }
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    }
            
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  ],
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  ],
            
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  "creatorName": [
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  "creatorName": [
            
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    {
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    {
            
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      "author": "Barber, David",
55
      "author": "Barber, David",
            
56
      "creatorAffiliation": "Centre for Earth Observation Science - 
56
      "creatorAffiliation": "Centre for Earth Observation Science - 
            
57
University of Manitoba",
57
University of Manitoba",
            
58
      "creatorEmail": "david.barber@umanitoba.ca",
58
      "creatorEmail": "david.barber@umanitoba.ca",
            
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      "creatorNameIdentifier": "",
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      "creatorNameIdentifier": "",
            
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      "nameType": "Personal"
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      "nameType": "Personal"
            
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    }
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    }
            
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  ],
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  ],
            
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  "creator_user_id": "cde7b848-a882-4fc7-97c9-670417bd6b43",
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  "creator_user_id": "cde7b848-a882-4fc7-97c9-670417bd6b43",
            
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  "dataCuratorAffiliation": "Centre for Earth Observation Science - 
64
  "dataCuratorAffiliation": "Centre for Earth Observation Science - 
            
65
University of Manitoba",
65
University of Manitoba",
            
66
  "dataCuratorEmail": "wayne.chan@umanitoba.ca",
66
  "dataCuratorEmail": "wayne.chan@umanitoba.ca",
            
67
  "datasetCitation": "Harasyn, Madison; Barber, David, May 2021, 
67
  "datasetCitation": "Harasyn, Madison; Barber, David, May 2021, 
            
68
\u201c2019 Churchill UAV Data\u201d, (N/A)",
68
\u201c2019 Churchill UAV Data\u201d, (N/A)",
            
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  "datasetLevel": "1.1",
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  "datasetLevel": "1.1",
            
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  "datasetPublisher": "CanWIN",
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  "datasetPublisher": "CanWIN",
            
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  "dateType": "Updated",
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  "dateType": "Updated",
            
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  "descriptionType": "Abstract",
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  "descriptionType": "Abstract",
            
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  "eastBoundLongitude": "-94.0706395086",
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  "eastBoundLongitude": "-94.0706395086",
            
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  "embargoDate": "",
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  "embargoDate": "",
            
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  "endDate": "2019-08-09",
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  "endDate": "2019-08-09",
            
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  "endDateType": "Other",
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  "endDateType": "Other",
            
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  "frequency": "Not planned",
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  "frequency": "Not planned",
            
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  "funderIdentifierType": "",
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  "funderIdentifierType": "",
            
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  "funderName": "",
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  "funderName": "",
            
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  "funderSchemeURI": "",
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  "funderSchemeURI": "",
            
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  "groups": [
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  "groups": [
            
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    {
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    {
            
n
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      "description": "Inland water features, drainage systems and 
n
83
      "description": "Features and characteristics of salt water 
            
84
their characteristics. Examples of data you can find here include 
84
bodies.\r\n\r\nIn CEOS, related research themes include 
            
85
river and lake data, water quality data. \r\n\r\nIn CEOS, related 
85
biogeochemistry, modelling, marine mammals, oil spill response, 
            
86
research themes include biogeochemistry, Inland lakes and waters, 

            
87
modelling, remote sensing and technology, trace metals and 
86
physical oceanography, remote sensing and technology and trace metals 
            
88
contaminants.",
87
and contaminants",
            
89
      "display_name": "Freshwater",
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      "display_name": "Marine",
            
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      "id": "8f8cd877-b037-4b1a-b928-f86d9e093741",
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      "id": "98238b1c-5be8-41ad-8c6e-74cdc4f5f369",
            
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      "image_display_url": 
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      "image_display_url": 
            
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/data/uploads/group/2021-10-31-211937.658599hyinspirehydrography.svg",
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ata/uploads/group/2021-10-31-211516.365746ofinspireoceanographic.svg",
            
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      "name": "freshwater",
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      "name": "marine",
            
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      "title": "Freshwater"
93
      "title": "Marine"
            
95
    },
94
    },
            
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    {
95
    {
            
97
      "description": "Image: \"Earth from Space\" by NASA Goddard 
96
      "description": "Image: \"Earth from Space\" by NASA Goddard 
            
98
Photo and Video is licensed under CC BY 2.0",
97
Photo and Video is licensed under CC BY 2.0",
            
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      "display_name": "Remote Sensing",
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      "display_name": "Remote Sensing",
            
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      "id": "3ec49cbb-4da6-4fe8-8d54-5b6ce03b49d9",
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      "id": "3ec49cbb-4da6-4fe8-8d54-5b6ce03b49d9",
            
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      "image_display_url": 
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      "image_display_url": 
            
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anitoba.ca/data/uploads/group/2022-02-05-222621.346712earthimage.jpg",
101
anitoba.ca/data/uploads/group/2022-02-05-222621.346712earthimage.jpg",
            
103
      "name": "remote-sensing",
102
      "name": "remote-sensing",
            
104
      "title": "Remote Sensing"
103
      "title": "Remote Sensing"
            
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    }
104
    }
            
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  ],
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  ],
            
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  "id": "b5f259b4-3ace-4750-bfb0-47c4e794082f",
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  "id": "b5f259b4-3ace-4750-bfb0-47c4e794082f",
            
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  "isopen": false,
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  "isopen": false,
            
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  "keywords": "Churchill estuary,UAV,aerial 
n
108
  "keywords": "Beluga,Churchill estuary,UAV,boat,kayak,video,AERIAL 
            
110
photos,boat,kayak,video,Beluga",
109
PHOTOGRAPHS",
            
111
  "kvSchemeURI": "",
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  "kvSchemeURI": 
            
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"https://www.polardata.ca/pdcinput/public/keywordlibrary ;  
            
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ps://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all?gtm_scheme=all",
            
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  "laboratory": "CEOS",
113
  "laboratory": "CEOS",
            
113
  "licenceShemeURI": "https://spdx.org/licenses",
114
  "licenceShemeURI": "https://spdx.org/licenses",
            
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  "licenceType": "Open",
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  "licenceType": "Open",
            
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  "license_id": null,
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  "license_id": null,
            
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  "license_title": null,
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  "license_title": null,
            
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  "maintainer": null,
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  "maintainer": null,
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2022-02-04T19:17:36.940301",
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  "metadata_created": "2022-02-04T19:17:36.940301",
            
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  "metadata_modified": "2022-02-15T19:37:11.010288",
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  "metadata_modified": "2022-02-15T20:00:10.668443",
            
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  "methodCitation": "",
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  "methodCitation": "",
            
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  "methodDescrioption": "",
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  "methodDescrioption": "",
            
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  "methodDescriptionType": "Methods",
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  "methodDescriptionType": "Methods",
            
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  "methodLink": "",
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  "methodLink": "",
            
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  "methodSummary": "",
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  "methodSummary": "",
            
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  "methodUrl": "",
127
  "methodUrl": "",
            
127
  "name": "churchill-beluga-boat-drone-imagery",
128
  "name": "churchill-beluga-boat-drone-imagery",
            
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  "northBoundLatitude": "58.8195795207",
129
  "northBoundLatitude": "58.8195795207",
            
129
  "notes": "Aerial imagery surveys are commonly used in marine mammal 
130
  "notes": "Aerial imagery surveys are commonly used in marine mammal 
            
130
research to determine population size, habitat distribution and 
131
research to determine population size, habitat distribution and 
            
131
habitat use. Analysis of aerial photos involves hours of manually 
132
habitat use. Analysis of aerial photos involves hours of manually 
            
132
identifying individuals present in each image and converting raw 
133
identifying individuals present in each image and converting raw 
            
133
counts into useable biological statistics. Our research proposes the 
134
counts into useable biological statistics. Our research proposes the 
            
134
use of deep learning algorithms as an assistive technology to increase 
135
use of deep learning algorithms as an assistive technology to increase 
            
135
the efficiency of the marine mammal research workflow. To test the 
136
the efficiency of the marine mammal research workflow. To test the 
            
136
feasibility of this proposal, the existing YOLOv4 convolutional neural 
137
feasibility of this proposal, the existing YOLOv4 convolutional neural 
            
137
network model was trained to detect belugas, kayaks and motorized 
138
network model was trained to detect belugas, kayaks and motorized 
            
138
boats in unmanned aerial vehicle (UAV) imagery. Computer-based object 
139
boats in unmanned aerial vehicle (UAV) imagery. Computer-based object 
            
139
detection achieved an average precision of 61.17% for belugas, 98.58% 
140
detection achieved an average precision of 61.17% for belugas, 98.58% 
            
140
for boats, and 95.97% for kayaks. We then tested the performance of 
141
for boats, and 95.97% for kayaks. We then tested the performance of 
            
141
computer vision tracking of belugas and manned watercraft in UAV 
142
computer vision tracking of belugas and manned watercraft in UAV 
            
142
videos using the DeepSORT tracking algorithm, achieving a multiple 
143
videos using the DeepSORT tracking algorithm, achieving a multiple 
            
143
object tracking accuracy (MOTA) ranging from 37% \u2013 88% and 
144
object tracking accuracy (MOTA) ranging from 37% \u2013 88% and 
            
144
multiple object tracking precision (MOTP) between 63% \u2013 86%. 
145
multiple object tracking precision (MOTP) between 63% \u2013 86%. 
            
145
Results from this research indicate that deep learning technology can 
146
Results from this research indicate that deep learning technology can 
            
146
perform at a similar caliber as human annotators in beluga and 
147
perform at a similar caliber as human annotators in beluga and 
            
147
watercraft detection and tracking, allowing for larger datasets to be 
148
watercraft detection and tracking, allowing for larger datasets to be 
            
148
processed within a fraction of the time. ",
149
processed within a fraction of the time. ",
            
149
  "num_resources": 17,
150
  "num_resources": 17,
            
150
  "num_tags": 7,
151
  "num_tags": 7,
            
151
  "organization": {
152
  "organization": {
            
152
    "approval_status": "approved",
153
    "approval_status": "approved",
            
153
    "created": "2017-07-21T13:15:49.935872",
154
    "created": "2017-07-21T13:15:49.935872",
            
154
    "description": "The Centre for Earth Observation Science (CEOS) 
155
    "description": "The Centre for Earth Observation Science (CEOS) 
            
155
was established in 1994 with a mandate to research, preserve and 
156
was established in 1994 with a mandate to research, preserve and 
            
156
communicate knowledge of Earth system processes using the technologies 
157
communicate knowledge of Earth system processes using the technologies 
            
157
of Earth Observation Science. Research is multidisciplinary and 
158
of Earth Observation Science. Research is multidisciplinary and 
            
158
collaborative seeking to understand the complex interrelationships 
159
collaborative seeking to understand the complex interrelationships 
            
159
between elements of Earth systems, and how these systems will likely 
160
between elements of Earth systems, and how these systems will likely 
            
160
respond to climate change. Although researchers have worked in many 
161
respond to climate change. Although researchers have worked in many 
            
161
regions, the Arctic marine system has always been a unifying focus of 
162
regions, the Arctic marine system has always been a unifying focus of 
            
162
activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate 
163
activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate 
            
163
Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre 
164
Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre 
            
164
(ARC, Aarhus, Denmark) established the Arctic Science Partnership, 
165
(ARC, Aarhus, Denmark) established the Arctic Science Partnership, 
            
165
thereby integrating academic and research initiatives.\r\n\r\nAreas of 
166
thereby integrating academic and research initiatives.\r\n\r\nAreas of 
            
166
existing research activity are divided among key themes:\r\n\r\nArctic 
167
existing research activity are divided among key themes:\r\n\r\nArctic 
            
167
Anthropology/Paleoclimatology: LiDAR scanning and digital site 
168
Anthropology/Paleoclimatology: LiDAR scanning and digital site 
            
168
preservation, archaeo-geophysics, permafrost degredation, lithic 
169
preservation, archaeo-geophysics, permafrost degredation, lithic 
            
169
morphometrics, zooarchaeology, proxy studies, paleodistribution of sea 
170
morphometrics, zooarchaeology, proxy studies, paleodistribution of sea 
            
170
ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, 
171
ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, 
            
171
ethnographic analogy, traditional knowledge, climate change and 
172
ethnographic analogy, traditional knowledge, climate change and 
            
172
northern heritage resource management.\r\n\r\nAtmospheric 
173
northern heritage resource management.\r\n\r\nAtmospheric 
            
173
Studies/Meteorology: Boundary layer, precipitation, clouds, storms and 
174
Studies/Meteorology: Boundary layer, precipitation, clouds, storms and 
            
174
extreme weather, circulation, eddy correlations, polar vortex, 
175
extreme weather, circulation, eddy correlations, polar vortex, 
            
175
climate, teleconnections, geophysical fluid dynamics, flux and energy 
176
climate, teleconnections, geophysical fluid dynamics, flux and energy 
            
176
budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice 
177
budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice 
            
177
albedo feedback, cloud radiative forcing, pCO2. 
178
albedo feedback, cloud radiative forcing, pCO2. 
            
178
\r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, 
179
\r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, 
            
179
Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace 
180
Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace 
            
180
metals, minerals, hydrocarbons, brine processes, otolith 
181
metals, minerals, hydrocarbons, brine processes, otolith 
            
181
microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, 
182
microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, 
            
182
trace metals, PAHs, source, transport, transformation, pathways, 
183
trace metals, PAHs, source, transport, transformation, pathways, 
            
183
bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth 
184
bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth 
            
184
Observation Science: Active and passive microwave, LiDAR, EM 
185
Observation Science: Active and passive microwave, LiDAR, EM 
            
185
induction, spatial-temporal analysis, forward and inverse scattering 
186
induction, spatial-temporal analysis, forward and inverse scattering 
            
186
models, complex permittivity, ocean colour, ocean surface roughness, 
187
models, complex permittivity, ocean colour, ocean surface roughness, 
            
187
NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: 
188
NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: 
            
188
Biophysical processes, primary production; ice algae, ice 
189
Biophysical processes, primary production; ice algae, ice 
            
189
microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland 
190
microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland 
            
190
Lakes and Waters: Hydrologic connectivity, watershed systems, sediment 
191
Lakes and Waters: Hydrologic connectivity, watershed systems, sediment 
            
191
transport, nutrient transport, contaminants, landscape processes, 
192
transport, nutrient transport, contaminants, landscape processes, 
            
192
remote sensing, freshwater-marine coupling. Marine Mammals: Seals, 
193
remote sensing, freshwater-marine coupling. Marine Mammals: Seals, 
            
193
whales, habitat, conservation, satellite telemetry, distribution, 
194
whales, habitat, conservation, satellite telemetry, distribution, 
            
194
population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: 
195
population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: 
            
195
Simulation of sea ice and oceanic regional processes, Nucleus for 
196
Simulation of sea ice and oceanic regional processes, Nucleus for 
            
196
European Modelling of the Ocean (NEMO), ice-ocean modelling and 
197
European Modelling of the Ocean (NEMO), ice-ocean modelling and 
            
197
interactions, hind cast simulations and projections for sea ice state 
198
interactions, hind cast simulations and projections for sea ice state 
            
198
and ocean variables based on CMIP5 scenarios and MIROC5 forcing, 
199
and ocean variables based on CMIP5 scenarios and MIROC5 forcing, 
            
199
validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and 
200
validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and 
            
200
out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy 
201
out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy 
            
201
correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic 
202
correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic 
            
202
processes, extreme ice features and hazards, snow, ridges, 
203
processes, extreme ice features and hazards, snow, ridges, 
            
203
polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, 
204
polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, 
            
204
Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, 
205
Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, 
            
205
hunting, food security, sea ice use, community-based research, 
206
hunting, food security, sea ice use, community-based research, 
            
206
community-based monitoring, two ways of knowing.",
207
community-based monitoring, two ways of knowing.",
            
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      "description": "**Arctic Science Gets Graphic!**\r\n\r\nWayne 
235
      "description": "**Arctic Science Gets Graphic!**\r\n\r\nWayne 
            
235
Chan and Madison Harasyn\r\n\r\nResearchers at CEOS are often asked to 
236
Chan and Madison Harasyn\r\n\r\nResearchers at CEOS are often asked to 
            
236
write a field story about their work, to make their research more 
237
write a field story about their work, to make their research more 
            
237
accessible. We decided to do something a little different for our work 
238
accessible. We decided to do something a little different for our work 
            
238
on applying machine learning to detecting and tracking beluga whales: 
239
on applying machine learning to detecting and tracking beluga whales: 
            
239
we are presenting it as a comic-book style video!\r\n\r\nComics and 
240
we are presenting it as a comic-book style video!\r\n\r\nComics and 
            
240
graphic novels are a very popular genre now and cover a wide range of 
241
graphic novels are a very popular genre now and cover a wide range of 
            
241
subjects, from traditional 
242
subjects, from traditional 
            
242
superheroes](https://en.wikipedia.org/wiki/Batman:_The_Long_Halloween) 
243
superheroes](https://en.wikipedia.org/wiki/Batman:_The_Long_Halloween) 
            
243
to historical figures like [Louis 
244
to historical figures like [Louis 
            
244
Riel](https://en.wikipedia.org/wiki/Louis_Riel_comics). They have also 
245
Riel](https://en.wikipedia.org/wiki/Louis_Riel_comics). They have also 
            
245
become a novel and emerging way of communicating science. There are 
246
become a novel and emerging way of communicating science. There are 
            
246
graphic novels about 
247
graphic novels about 
            
247
ooks/303/303922/mysteries-of-the-quantum-universe/9780141985176.html), 
248
ooks/303/303922/mysteries-of-the-quantum-universe/9780141985176.html), 
            
248
//www.larrygonick.com/titles/science/the-cartoon-guide-to-chemistry/), 
249
//www.larrygonick.com/titles/science/the-cartoon-guide-to-chemistry/), 
            
249
biology](https://us.macmillan.com/books/9780809089475/thestuffoflife), 
250
biology](https://us.macmillan.com/books/9780809089475/thestuffoflife), 
            
250
and [math](https://en.wikipedia.org/wiki/Logicomix), and ones about 
251
and [math](https://en.wikipedia.org/wiki/Logicomix), and ones about 
            
251
famous scientists, such as [Stephen 
252
famous scientists, such as [Stephen 
            
252
Hawking](https://us.macmillan.com/books/9781626720251/hawking) and 
253
Hawking](https://us.macmillan.com/books/9781626720251/hawking) and 
            
253
[Alan 
254
[Alan 
            
254
g](https://www.abramsbooks.com/product/imitation-game_9781419718939/). 
255
g](https://www.abramsbooks.com/product/imitation-game_9781419718939/). 
            
255
Comics are not only used for science education, however; they are also 
256
Comics are not only used for science education, however; they are also 
            
256
gaining popularity as a means of disseminating new research findings. 
257
gaining popularity as a means of disseminating new research findings. 
            
257
The European Research Council (ERC), for example, recently decided to 
258
The European Research Council (ERC), for example, recently decided to 
            
258
create [comic-book adaptations](https://www.erccomics.com/) of some of 
259
create [comic-book adaptations](https://www.erccomics.com/) of some of 
            
259
their funded projects, as an innovative way to showcase 
260
their funded projects, as an innovative way to showcase 
            
260
them.\r\n\r\nThe process of doing scientific research is very visual, 
261
them.\r\n\r\nThe process of doing scientific research is very visual, 
            
261
with researchers often drawing out ideas on a whiteboard or on paper. 
262
with researchers often drawing out ideas on a whiteboard or on paper. 
            
262
Yet, the end product is usually an academic journal article that is 
263
Yet, the end product is usually an academic journal article that is 
            
263
mostly text and a few graphs, couched in technical language and 
264
mostly text and a few graphs, couched in technical language and 
            
264
presented in a formalized structure. \r\n\r\nComics and graphic novels 
265
presented in a formalized structure. \r\n\r\nComics and graphic novels 
            
265
can bridge this gap between the textual and visual by combining a 
266
can bridge this gap between the textual and visual by combining a 
            
266
narrative structure with visual storytelling to bring a story to life. 
267
narrative structure with visual storytelling to bring a story to life. 
            
267
And since comics appeal to people of all ages and cultural 
268
And since comics appeal to people of all ages and cultural 
            
268
backgrounds, they can engage new groups of people, rather than the 
269
backgrounds, they can engage new groups of people, rather than the 
            
269
audiences who typically read research literature. \r\n\r\nJournal 
270
audiences who typically read research literature. \r\n\r\nJournal 
            
270
articles can also wrongly give the impression that the research was a 
271
articles can also wrongly give the impression that the research was a 
            
271
straightforward \"royal road\" from hypothesis to conclusion, which is 
272
straightforward \"royal road\" from hypothesis to conclusion, which is 
            
272
seldom the case. The false paths and dead-ends that were explored and 
273
seldom the case. The false paths and dead-ends that were explored and 
            
273
the obstacles that were encountered are never mentioned. Much like a 
274
the obstacles that were encountered are never mentioned. Much like a 
            
274
finished building, the scaffolding has been removed, leaving only the 
275
finished building, the scaffolding has been removed, leaving only the 
            
275
final result for people to see. Learning about these dead-ends, 
276
final result for people to see. Learning about these dead-ends, 
            
276
however, can be instructive and reassuring to a student starting out 
277
however, can be instructive and reassuring to a student starting out 
            
277
in research. A comic can show this type of behind-the-scenes work that 
278
in research. A comic can show this type of behind-the-scenes work that 
            
278
is rarely discussed in a more formal article.\r\n\r\nWe hope that our 
279
is rarely discussed in a more formal article.\r\n\r\nWe hope that our 
            
279
comic-book video illustrates the research process, with its ups and 
280
comic-book video illustrates the research process, with its ups and 
            
280
downs, and also shows how people with different backgrounds work 
281
downs, and also shows how people with different backgrounds work 
            
281
together on a project. If it motivates people to find out more about 
282
together on a project. If it motivates people to find out more about 
            
282
our work (and read the dry, academic version of it), that's all we can 
283
our work (and read the dry, academic version of it), that's all we can 
            
283
ask for!\r\nWithout further ado!",
284
ask for!\r\nWithout further ado!",
            
284
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Count Belugas When You Run Out of Fingers and Toes",
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Count Belugas When You Run Out of Fingers and Toes",
            
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as part of the Beluga Boat Study.",
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as part of the Beluga Boat Study.",
            
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UAV (unmanned aerial vehicle) videos and photos collected during the 
            
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2019 field season over the Churchill Estuary.",
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/download/canwin_project_metadata_template2019churchill_harasyn.docx",
            
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      "name": "AERIAL PHOTOGRAPHS",
            
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      "display_name": "Beluga",
            
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      "name": "Beluga",
            
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      "name": "boat",
            
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      "state": "active",
            
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      "display_name": "kayak",
            
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      "name": "video",
            
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      "state": "active",
            
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  ],
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  "title": "Churchill Beluga Boat Drone Imagery",
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  "title": "Churchill Beluga Boat Drone Imagery",
            
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