Changes

              
    

          
          
        
        

            
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{
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{
            
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  "Creator": "Creator",
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  "Creator": "Creator",
            
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  "GeoLocation": "Lake Winnipeg Basin,Manitoba Great Lakes",
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  "GeoLocation": "Lake Winnipeg Basin,Manitoba Great Lakes",
            
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  "Identifier": "10.5203/2nq5-pc53",
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  "Identifier": "10.5203/2nq5-pc53",
            
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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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  "ResourceType": "Online Resource",
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  "ResourceType": "Online Resource",
            
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  "ResourceTypeGeneral": "Collection",
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  "ResourceTypeGeneral": "Collection",
            
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  "Rights": "Creative Commons Attribution 4.0 International",
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  "Rights": "Creative Commons Attribution 4.0 International",
            
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  "accessTerms": "CanWIN datasets are licensed individually, however 
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  "accessTerms": "CanWIN datasets are licensed individually, however 
            
12
most are licensed under the Creative Commons Attribution 4.0 
12
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 
13
International (CC BY 4.0) Public License. Details for the licence 
            
14
applied can be found using the Licence URL link provided with each 
14
applied can be found using the Licence URL link provided with each 
            
15
dataset.\r\n\r\nBy using data and information provided on this site 
15
dataset.\r\n\r\nBy using data and information provided on this site 
            
16
you accept the terms and conditions of the License. Unless otherwise 
16
you 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 
18
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 
19
acknowledgment is given to the data licensor (citation), that any 
            
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alteration to the data is clearly indicated, and that a link to the 
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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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  "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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  "citation": " ",
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  "citation": " ",
            
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  "coInvestigators": [
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  "coInvestigators": [
            
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    {
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    {
            
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      "affiliation": "Centre for Earth Observation Science - 
27
      "affiliation": "Centre for Earth Observation Science - 
            
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University of Manitoba",
28
University of Manitoba",
            
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      "contributorName": "Papakyriakou, Tim",
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      "contributorName": "Papakyriakou, Tim",
            
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      "contributorType": "ProjectMember",
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      "contributorType": "ProjectMember",
            
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      "email": "Tim.Papakyriakou@umanitoba.ca",
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      "email": "Tim.Papakyriakou@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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      "affiliation": "Centre for Earth Observation Science - 
35
      "affiliation": "Centre for Earth Observation Science - 
            
36
University of Manitoba",
36
University of Manitoba",
            
37
      "contributorName": "Herbert, Claire",
37
      "contributorName": "Herbert, Claire",
            
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      "contributorType": "ProjectManager",
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      "contributorType": "ProjectManager",
            
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      "email": "Claire.Herbert@umanitoba.ca",
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      "email": "Claire.Herbert@umanitoba.ca",
            
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      "nameIdentifier": "0000-0003-2724-4200",
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      "nameIdentifier": "0000-0003-2724-4200",
            
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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": "McCullough, Greg",
47
      "contributorName": "McCullough, Greg",
            
48
      "contributorType": "ProjectLeader",
48
      "contributorType": "ProjectLeader",
            
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      "email": "Greg.McCullough@umanitoba.ca",
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      "email": "Greg.McCullough@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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  "contributorType": "DataCurator",
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  "contributorType": "DataCurator",
            
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  "creator_user_id": "4c109602-71d0-4ebc-b670-92f67b3004fd",
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  "creator_user_id": "4c109602-71d0-4ebc-b670-92f67b3004fd",
            
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  "descriptionType": "Abstract",
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  "descriptionType": "Abstract",
            
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  "eastBoundLongitude": "-27.066243609948597",
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  "eastBoundLongitude": "-27.066243609948597",
            
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  "endDateType": "Other",
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  "endDateType": "Other",
            
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  "extras": [
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  "extras": [
            
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    {
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    {
            
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      "key": "keywords",
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      "key": "keywords",
            
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      "value": "Carbon fluxes,Climate change,Freshwaters,Lake 
61
      "value": "Carbon fluxes,Climate change,Freshwaters,Lake 
            
62
Manitoba,Lake Waterhen,Lake Winnipeg Basin,Lake 
62
Manitoba,Lake Waterhen,Lake Winnipeg Basin,Lake 
            
63
Winnipegosis,Manitoba,Nelson River watershed,Remote sensing data"
63
Winnipegosis,Manitoba,Nelson River watershed,Remote sensing data"
            
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    }
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    }
            
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  ],
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  ],
            
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  "groups": [
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  "groups": [
            
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    {
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    {
            
68
      "description": "Processes and phenomena of the atmosphere \u2013 
68
      "description": "Processes and phenomena of the atmosphere \u2013 
            
69
or \u2018weather and climate\u2019. Examples of data you can find here 
69
or \u2018weather and climate\u2019. Examples of data you can find here 
            
70
include weather, atmospheric conditions, climate change info. 
70
include weather, atmospheric conditions, climate change info. 
            
71
\r\n\r\nIn CEOS, related research themes include atmospheric science 
71
\r\n\r\nIn CEOS, related research themes include atmospheric science 
            
72
and meteorology.",
72
and meteorology.",
            
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      "display_name": "Atmosphere",
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      "display_name": "Atmosphere",
            
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      "id": "d5c57e39-a747-4085-ba9c-3cfb44f9d5ef",
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      "id": "d5c57e39-a747-4085-ba9c-3cfb44f9d5ef",
            
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      "image_display_url": 
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      "image_display_url": 
            
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.ca/data/uploads/group/2021-10-31-211610.563086acinspireatmscond.svg",
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.ca/data/uploads/group/2021-10-31-211610.563086acinspireatmscond.svg",
            
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      "name": "modelling",
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      "name": "modelling",
            
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      "title": "Atmosphere"
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      "title": "Atmosphere"
            
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    },
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    },
            
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    {
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    {
            
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      "description": "Image: \"Earth from Space\" by NASA Goddard 
81
      "description": "Image: \"Earth from Space\" by NASA Goddard 
            
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Photo and Video is licensed under CC BY 2.0",
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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",
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anitoba.ca/data/uploads/group/2022-02-05-222621.346712earthimage.jpg",
            
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      "name": "remote-sensing",
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      "name": "remote-sensing",
            
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      "title": "Remote Sensing"
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      "title": "Remote Sensing"
            
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    }
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    }
            
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  ],
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  ],
            
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  "id": "2f8c057e-a1df-4ff8-8a76-744212ea379a",
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  "id": "2f8c057e-a1df-4ff8-8a76-744212ea379a",
            
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  "isopen": false,
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  "isopen": false,
            
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  "kvSchemeURI": 
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  "kvSchemeURI": 
            
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"https://www.polardata.ca/pdcinput/public/keywordlibrary ",
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"https://www.polardata.ca/pdcinput/public/keywordlibrary ",
            
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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": "2021-07-26T16:46:10.600302",
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  "metadata_created": "2021-07-26T16:46:10.600302",
            
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  "metadata_modified": "2022-12-22T22:12:11.904058",
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  "metadata_modified": "2022-12-22T22:29:46.908917",
            
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  "name": "mbgl",
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  "name": "mbgl",
            
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  "northBoundLatitude": "140.81676721572876",
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  "northBoundLatitude": "140.81676721572876",
            
103
  "notes": "The Manitoba Great Lakes (MBGL) program is led by 
103
  "notes": "The Manitoba Great Lakes (MBGL) program is led by 
            
104
researchers at the Centre for Earth Observation Science (CEOS) at the 
104
researchers at the Centre for Earth Observation Science (CEOS) at the 
            
105
University of Manitoba, and is a multi-disciplinary collaboration 
105
University of Manitoba, and is a multi-disciplinary collaboration 
            
106
dedicated to conducting research and providing data for science-based 
106
dedicated to conducting research and providing data for science-based 
            
107
decision making in the Hudson Bay Watershed. \r\n\r\nThe upper 
107
decision making in the Hudson Bay Watershed. \r\n\r\nThe upper 
            
108
Manitoba Great Lakes (Lake Manitoba, Winnipegosis and Waterhen) 
108
Manitoba Great Lakes (Lake Manitoba, Winnipegosis and Waterhen) 
            
109
include the 27th (Winnipegosis) and 32nd (Manitoba) largest lakes in 
109
include the 27th (Winnipegosis) and 32nd (Manitoba) largest lakes in 
            
110
the world.  They are important drinking water sources for the people 
110
the world.  They are important drinking water sources for the people 
            
111
who live near their shores, and important recreational and fisheries 
111
who live near their shores, and important recreational and fisheries 
            
112
resources for the region and the Province as a whole.  Moreover, they 
112
resources for the region and the Province as a whole.  Moreover, they 
            
113
help to protect Lake Winnipeg by filtering nutrients and contaminants 
113
help to protect Lake Winnipeg by filtering nutrients and contaminants 
            
114
in runoff from its western watershed. In particular, the operation of 
114
in runoff from its western watershed. In particular, the operation of 
            
115
the Portage Diversion during flood events has effectively shifted 
115
the Portage Diversion during flood events has effectively shifted 
            
116
significant fractions of the Assiniboine River nutrient and 
116
significant fractions of the Assiniboine River nutrient and 
            
117
contaminant load from the south basin of Lake Winnipeg to the south 
117
contaminant load from the south basin of Lake Winnipeg to the south 
            
118
basin of Lake Manitoba, with undocumented impacts on the latter.  
118
basin of Lake Manitoba, with undocumented impacts on the latter.  
            
119
\r\n<br /> \r\nCurrently, the physical, chemical, biological and 
119
\r\n<br /> \r\nCurrently, the physical, chemical, biological and 
            
120
geological processes in the lakes are not well understood. Therefore, 
120
geological processes in the lakes are not well understood. Therefore, 
            
121
we have a poor ability to predict responses to change in factors such 
121
we have a poor ability to predict responses to change in factors such 
            
122
as climate, fishing pressure, and nutrient or contaminant loading from 
122
as climate, fishing pressure, and nutrient or contaminant loading from 
            
123
the watershed, or to understand impacts carried downstream to Lake 
123
the watershed, or to understand impacts carried downstream to Lake 
            
124
Winnipeg, into Hudson Bay and the arctic. For example, climate change 
124
Winnipeg, into Hudson Bay and the arctic. For example, climate change 
            
125
impacts include direct lake warming, which intensifies in-lake 
125
impacts include direct lake warming, which intensifies in-lake 
            
126
chemical and biological processes, and increasingly intense 
126
chemical and biological processes, and increasingly intense 
            
127
precipitation events. It is likely that this has led to increased 
127
precipitation events. It is likely that this has led to increased 
            
128
runoff and more frequent flooding, and hence, increasing nutrient and 
128
runoff and more frequent flooding, and hence, increasing nutrient and 
            
129
contaminant transport from the watershed to the lakes, but we have no 
129
contaminant transport from the watershed to the lakes, but we have no 
            
130
data to support this speculation. In Lake Manitoba, commercial catch 
130
data to support this speculation. In Lake Manitoba, commercial catch 
            
131
of the most valuable species, pickerel, has declined by more than half 
131
of the most valuable species, pickerel, has declined by more than half 
            
132
since the 1980s. This may be due to pike in-migration through the 
132
since the 1980s. This may be due to pike in-migration through the 
            
133
Portage Diversion, or to high fishing pressure; we have too little 
133
Portage Diversion, or to high fishing pressure; we have too little 
            
134
information to know the cause. Most recently, in the summer of 2021, 
134
information to know the cause. Most recently, in the summer of 2021, 
            
135
zebra mussel larvae were discovered in Lake Manitoba; again, without 
135
zebra mussel larvae were discovered in Lake Manitoba; again, without 
            
136
better information, the impact of this invasive species is a matter of 
136
better information, the impact of this invasive species is a matter of 
            
137
conjecture. Overall, lake management and governance are being decided 
137
conjecture. Overall, lake management and governance are being decided 
            
138
without adequate scientific support. \r\n<br /> \r\nThe MBGL program 
138
without adequate scientific support. \r\n<br /> \r\nThe MBGL program 
            
139
deploys moorings to measure physical and biological parameters in the 
139
deploys moorings to measure physical and biological parameters in the 
            
140
lakes. Through various initiatives, including graduate programs, we 
140
lakes. Through various initiatives, including graduate programs, we 
            
141
also collect nutrient, biological and physical data from the MBGL 
141
also collect nutrient, biological and physical data from the MBGL 
            
142
lakes as well as the surrounding watersheds. Other projects include 
142
lakes as well as the surrounding watersheds. Other projects include 
            
143
studying nutrient forcing of algal biomass and associated algal 
143
studying nutrient forcing of algal biomass and associated algal 
            
144
toxins. We look at water quality indicators such as chlorophyll, 
144
toxins. We look at water quality indicators such as chlorophyll, 
            
145
suspended solids and dissolved organic carbon and can use them to 
145
suspended solids and dissolved organic carbon and can use them to 
            
146
create visualizations such as maps of chlorophyll concentration in 
146
create visualizations such as maps of chlorophyll concentration in 
            
147
surface water. These methods combined with satellite data can be used 
147
surface water. These methods combined with satellite data can be used 
            
148
for early detection of algal blooms and identify potential sites where 
148
for early detection of algal blooms and identify potential sites where 
            
149
algal toxins may occur.\r\n<br />\r\nThrough our multi-disciplinary 
149
algal toxins may occur.\r\n<br />\r\nThrough our multi-disciplinary 
            
150
research the MBGL program will provide biological and physical data to 
150
research the MBGL program will provide biological and physical data to 
            
151
support science-based decision making in the Hudson Bay Watershed, at 
151
support science-based decision making in the Hudson Bay Watershed, at 
            
152
local, regional and hemispherical scales",
152
local, regional and hemispherical scales",
            
153
  "num_resources": 7,
153
  "num_resources": 7,
            
154
  "num_tags": 10,
154
  "num_tags": 10,
            
155
  "organization": {
155
  "organization": {
            
156
    "approval_status": "approved",
156
    "approval_status": "approved",
            
157
    "created": "2017-07-21T13:15:49.935872",
157
    "created": "2017-07-21T13:15:49.935872",
            
158
    "description": "The Centre for Earth Observation Science (CEOS) 
158
    "description": "The Centre for Earth Observation Science (CEOS) 
            
159
was established in 1994 with a mandate to research, preserve and 
159
was established in 1994 with a mandate to research, preserve and 
            
160
communicate knowledge of Earth system processes using the technologies 
160
communicate knowledge of Earth system processes using the technologies 
            
161
of Earth Observation Science. Research is multidisciplinary and 
161
of Earth Observation Science. Research is multidisciplinary and 
            
162
collaborative seeking to understand the complex interrelationships 
162
collaborative seeking to understand the complex interrelationships 
            
163
between elements of Earth systems, and how these systems will likely 
163
between elements of Earth systems, and how these systems will likely 
            
164
respond to climate change. Although researchers have worked in many 
164
respond to climate change. Although researchers have worked in many 
            
165
regions, the Arctic marine system has always been a unifying focus of 
165
regions, the Arctic marine system has always been a unifying focus of 
            
166
activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate 
166
activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate 
            
167
Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre 
167
Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre 
            
168
(ARC, Aarhus, Denmark) established the Arctic Science Partnership, 
168
(ARC, Aarhus, Denmark) established the Arctic Science Partnership, 
            
169
thereby integrating academic and research initiatives.\r\n\r\nAreas of 
169
thereby integrating academic and research initiatives.\r\n\r\nAreas of 
            
170
existing research activity are divided among key themes:\r\n\r\nArctic 
170
existing research activity are divided among key themes:\r\n\r\nArctic 
            
171
Anthropology/Paleoclimatology: LiDAR scanning and digital site 
171
Anthropology/Paleoclimatology: LiDAR scanning and digital site 
            
172
preservation, archaeo-geophysics, permafrost degredation, lithic 
172
preservation, archaeo-geophysics, permafrost degredation, lithic 
            
173
morphometrics, zooarchaeology, proxy studies, paleodistribution of sea 
173
morphometrics, zooarchaeology, proxy studies, paleodistribution of sea 
            
174
ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, 
174
ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, 
            
175
ethnographic analogy, traditional knowledge, climate change and 
175
ethnographic analogy, traditional knowledge, climate change and 
            
176
northern heritage resource management.\r\n\r\nAtmospheric 
176
northern heritage resource management.\r\n\r\nAtmospheric 
            
177
Studies/Meteorology: Boundary layer, precipitation, clouds, storms and 
177
Studies/Meteorology: Boundary layer, precipitation, clouds, storms and 
            
178
extreme weather, circulation, eddy correlations, polar vortex, 
178
extreme weather, circulation, eddy correlations, polar vortex, 
            
179
climate, teleconnections, geophysical fluid dynamics, flux and energy 
179
climate, teleconnections, geophysical fluid dynamics, flux and energy 
            
180
budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice 
180
budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice 
            
181
albedo feedback, cloud radiative forcing, pCO2. 
181
albedo feedback, cloud radiative forcing, pCO2. 
            
182
\r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, 
182
\r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, 
            
183
Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace 
183
Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace 
            
184
metals, minerals, hydrocarbons, brine processes, otolith 
184
metals, minerals, hydrocarbons, brine processes, otolith 
            
185
microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, 
185
microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, 
            
186
trace metals, PAHs, source, transport, transformation, pathways, 
186
trace metals, PAHs, source, transport, transformation, pathways, 
            
187
bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth 
187
bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth 
            
188
Observation Science: Active and passive microwave, LiDAR, EM 
188
Observation Science: Active and passive microwave, LiDAR, EM 
            
189
induction, spatial-temporal analysis, forward and inverse scattering 
189
induction, spatial-temporal analysis, forward and inverse scattering 
            
190
models, complex permittivity, ocean colour, ocean surface roughness, 
190
models, complex permittivity, ocean colour, ocean surface roughness, 
            
191
NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: 
191
NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: 
            
192
Biophysical processes, primary production; ice algae, ice 
192
Biophysical processes, primary production; ice algae, ice 
            
193
microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland 
193
microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland 
            
194
Lakes and Waters: Hydrologic connectivity, watershed systems, sediment 
194
Lakes and Waters: Hydrologic connectivity, watershed systems, sediment 
            
195
transport, nutrient transport, contaminants, landscape processes, 
195
transport, nutrient transport, contaminants, landscape processes, 
            
196
remote sensing, freshwater-marine coupling. Marine Mammals: Seals, 
196
remote sensing, freshwater-marine coupling. Marine Mammals: Seals, 
            
197
whales, habitat, conservation, satellite telemetry, distribution, 
197
whales, habitat, conservation, satellite telemetry, distribution, 
            
198
population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: 
198
population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: 
            
199
Simulation of sea ice and oceanic regional processes, Nucleus for 
199
Simulation of sea ice and oceanic regional processes, Nucleus for 
            
200
European Modelling of the Ocean (NEMO), ice-ocean modelling and 
200
European Modelling of the Ocean (NEMO), ice-ocean modelling and 
            
201
interactions, hind cast simulations and projections for sea ice state 
201
interactions, hind cast simulations and projections for sea ice state 
            
202
and ocean variables based on CMIP5 scenarios and MIROC5 forcing, 
202
and ocean variables based on CMIP5 scenarios and MIROC5 forcing, 
            
203
validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and 
203
validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and 
            
204
out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy 
204
out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy 
            
205
correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic 
205
correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic 
            
206
processes, extreme ice features and hazards, snow, ridges, 
206
processes, extreme ice features and hazards, snow, ridges, 
            
207
polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, 
207
polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, 
            
208
Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, 
208
Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, 
            
209
hunting, food security, sea ice use, community-based research, 
209
hunting, food security, sea ice use, community-based research, 
            
210
community-based monitoring, two ways of knowing.",
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community-based monitoring, two ways of knowing.",
            
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Science - University of Manitoba",
            
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climate change and its effects on our planet. From their field 
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