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  "Creator": "S.V. Hatcher and G.K. Manson",
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  "Creator": "S.V. Hatcher and G.K. Manson",
            
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  "author": null,
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  "description": "",
            
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  "funding_program": "",
            
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  "geographic_range": [
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  "geographic_range": [
            
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    "Beaufort Delta"
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    "Beaufort Delta"
            
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  ],
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  ],
            
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  "license_id": "notspecified",
            
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  "license_title": "License Not Specified",
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  "license_title": "License Not Specified",
            
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  "local_relevance": "This study provides a revised coastal 
16
  "local_relevance": "This study provides a revised coastal 
            
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sensitivity index for Canada's marine coasts, which has implications 
17
sensitivity index for Canada's marine coasts, which has implications 
            
18
for our understanding of the sensitivity of coastlines and 
18
for our understanding of the sensitivity of coastlines and 
            
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vunlerability of coastal communities in the NWT.",
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vunlerability of coastal communities in the NWT.",
            
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  "maintainer_email": null,
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  "metadata_created": "2023-12-01T22:16:52.883907",
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  "metadata_modified": "2023-12-01T22:18:38.228965",
            
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  "metatags": "Marine,Coast,Coastal Sensitivity Index",
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  "metatags": "Marine,Coast,Coastal Sensitivity Index",
            
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  "modified_date": "2021-06-30",
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  "modified_date": "2021-06-30",
            
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  "name": 
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  "name": 
            
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"a-revised-coastal-sensitivity-index-for-canada-s-marine-coasts",
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"a-revised-coastal-sensitivity-index-for-canada-s-marine-coasts",
            
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  "notes": "This study applied an alternative nonparametric method of 
28
  "notes": "This study applied an alternative nonparametric method of 
            
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calculation, known as \u03bc-statistics, to Canada's marine coasts to 
29
calculation, known as \u03bc-statistics, to Canada's marine coasts to 
            
30
provide an improved measure of coastal sensitivity.",
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provide an improved measure of coastal sensitivity.",
            
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  "num_resources": 1,
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  "num_tags": 3,
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  "organization": {
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2023-11-27T15:29:16.450990",
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    "state": "active",
            
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    "title": "Academic Journal",
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    "title": "Academic Journal",
            
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  "relationships_as_subject": [],
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  "release_date": "2021-06-30",
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  "release_date": "2021-06-30",
            
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      "metadata_modified": "2023-12-01T22:18:38.072370",
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      "name": "A revised coastal sensitivity index for Canada's marine 
65
      "name": "A revised coastal sensitivity index for Canada's marine 
            
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coasts calculated using nonparametric statistics",
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coasts calculated using nonparametric statistics",
            
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      "package_id": "6fb16ea9-9047-4121-a1c8-517625ca6b33",
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      "package_id": "6fb16ea9-9047-4121-a1c8-517625ca6b33",
            
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      "state": "active",
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      "state": "active",
            
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      "url": "https://cdnsciencepub.com/doi/10.1139/cjes-2021-0010",
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      "url": "https://cdnsciencepub.com/doi/10.1139/cjes-2021-0010",
            
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      "url_type": null
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      "url_type": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "state": "draft",
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  "state": "active",
            
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  "summary": "In this study, we applied an alternative nonparametric 
77
  "summary": "In this study, we applied an alternative nonparametric 
            
78
method of calculation, known as \u03bc-statistics, to Canada's marine 
78
method of calculation, known as \u03bc-statistics, to Canada's marine 
            
79
coasts to provide an improved measure of coastal sensitivity. 
79
coasts to provide an improved measure of coastal sensitivity. 
            
80
\u03bc-statistics, which offer a mathematically sound method of 
80
\u03bc-statistics, which offer a mathematically sound method of 
            
81
aggregating ordinal indicators, have a number of theoretical 
81
aggregating ordinal indicators, have a number of theoretical 
            
82
advantages over the classic and geometric mean methods. In practice, 
82
advantages over the classic and geometric mean methods. In practice, 
            
83
when applied to Canada\u2019s marine coasts, we find that the 
83
when applied to Canada\u2019s marine coasts, we find that the 
            
84
\u03bc-statistics method (1) compresses the mid-range variability in 
84
\u03bc-statistics method (1) compresses the mid-range variability in 
            
85
the resulting sensitivity index, (2) accentuates positive and negative 
85
the resulting sensitivity index, (2) accentuates positive and negative 
            
86
distribution tails, and (3) minimizes propagated errors by 190% and 
86
distribution tails, and (3) minimizes propagated errors by 190% and 
            
87
50%, respectively, compared with the classic and geometric mean 
87
50%, respectively, compared with the classic and geometric mean 
            
88
methods. Additionally, the \u03bc-statistics method has a theoretical 
88
methods. Additionally, the \u03bc-statistics method has a theoretical 
            
89
foundation that relieves the necessity to empirically validate the 
89
foundation that relieves the necessity to empirically validate the 
            
90
aggregating assumptions and relies only on the assumptions inherent in 
90
aggregating assumptions and relies only on the assumptions inherent in 
            
91
the scoring method. \u03bc-statistics thus provide a new, rigorous 
91
the scoring method. \u03bc-statistics thus provide a new, rigorous 
            
92
method for the calculation of coastal sensitivity indices when the 
92
method for the calculation of coastal sensitivity indices when the 
            
93
underlying variables have ordinal scores.",
93
underlying variables have ordinal scores.",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "Coast",
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      "display_name": "Coast",
            
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      "id": "899fc8fa-2e8f-47df-974d-be48f2ca27a3",
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      "id": "899fc8fa-2e8f-47df-974d-be48f2ca27a3",
            
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      "name": "Coast",
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      "name": "Coast",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Coastal Sensitivity Index",
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      "display_name": "Coastal Sensitivity Index",
            
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      "id": "71e0fc4a-5f35-484c-81a6-2d508f6e57ed",
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      "id": "71e0fc4a-5f35-484c-81a6-2d508f6e57ed",
            
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      "name": "Coastal Sensitivity Index",
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      "name": "Coastal Sensitivity Index",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Marine",
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      "display_name": "Marine",
            
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      "id": "8f81a61a-be00-4055-8671-e855f08ef56c",
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      "id": "8f81a61a-be00-4055-8671-e855f08ef56c",
            
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      "name": "Marine",
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      "name": "Marine",
            
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      "state": "active",
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "A revised coastal sensitivity index for Canada's marine 
117
  "title": "A revised coastal sensitivity index for Canada's marine 
            
118
coasts calculated using nonparametric statistics",
118
coasts calculated using nonparametric statistics",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "url": null,
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  "url": null,
            
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  "version": null
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  "version": null
            
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}
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}