Changes
On January 25, 2022 at 7:15:26 PM UTC, gletsos:
-
Added resource LiDAR-derived forest structure data and predictions of the locations of old-growth forests for Central Finland to LiDAR-derived forest structure data and predictions
f | 1 | { | f | 1 | { |
2 | "author": null, | 2 | "author": null, | ||
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18 | { | 18 | { | ||
19 | "key": "Geographical area", | 19 | "key": "Geographical area", | ||
20 | "value": "Finland" | 20 | "value": "Finland" | ||
21 | }, | 21 | }, | ||
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26 | { | 26 | { | ||
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28 | "value": "National Land Survey of Finland" | 28 | "value": "National Land Survey of Finland" | ||
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37 | "description": "", | 37 | "description": "", | ||
38 | "display_name": "Forest products", | 38 | "display_name": "Forest products", | ||
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42 | "name": "forest-products", | 42 | "name": "forest-products", | ||
43 | "title": "Forest products" | 43 | "title": "Forest products" | ||
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47 | "isopen": true, | 47 | "isopen": true, | ||
48 | "license_id": "CC0-1.0", | 48 | "license_id": "CC0-1.0", | ||
49 | "license_title": "CC0 1.0", | 49 | "license_title": "CC0 1.0", | ||
50 | "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", | 50 | "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", | ||
51 | "maintainer": null, | 51 | "maintainer": null, | ||
52 | "maintainer_email": null, | 52 | "maintainer_email": null, | ||
53 | "metadata_created": "2022-01-25T19:15:26.209710", | 53 | "metadata_created": "2022-01-25T19:15:26.209710", | ||
n | 54 | "metadata_modified": "2022-01-25T19:15:26.209725", | n | 54 | "metadata_modified": "2022-01-25T19:15:26.551904", |
55 | "name": "lidar-derived-forest-structure-data-and-predictions", | 55 | "name": "lidar-derived-forest-structure-data-and-predictions", | ||
56 | "notes": "1. This archive contains data and analysis code for the | 56 | "notes": "1. This archive contains data and analysis code for the | ||
57 | Biodiversity Map -project conducted by Open Knowledge Finland | 57 | Biodiversity Map -project conducted by Open Knowledge Finland | ||
58 | (http://fi.okfn.org/projects/biodiversity-map/) \n \n2. The data in | 58 | (http://fi.okfn.org/projects/biodiversity-map/) \n \n2. The data in | ||
59 | these files was collected to validate the results of the | 59 | these files was collected to validate the results of the | ||
60 | aforementioned maxent model. The data were collected in a hierarchical | 60 | aforementioned maxent model. The data were collected in a hierarchical | ||
61 | sampling scheme: six randomly determinded unintersecting 9 km * 9 km | 61 | sampling scheme: six randomly determinded unintersecting 9 km * 9 km | ||
62 | landscape windows were chosen for sampling. From each window, three | 62 | landscape windows were chosen for sampling. From each window, three | ||
63 | samples were taken. One sample from conservation areas, one sample | 63 | samples were taken. One sample from conservation areas, one sample | ||
64 | from the \"best\" 10 % of forests as determined by the maxent model | 64 | from the \"best\" 10 % of forests as determined by the maxent model | ||
65 | excluding conservation areas and one random sample. Not all windows | 65 | excluding conservation areas and one random sample. Not all windows | ||
66 | contained conservation areas, and not all areas were accessible | 66 | contained conservation areas, and not all areas were accessible | ||
67 | (islands, for example). In addition a few areas were skipped due to | 67 | (islands, for example). In addition a few areas were skipped due to | ||
68 | time constraints. \n \nThe sampled points are identified by their | 68 | time constraints. \n \nThe sampled points are identified by their | ||
69 | lanscape window (suuralue), their sample (otos) and their sample | 69 | lanscape window (suuralue), their sample (otos) and their sample | ||
70 | number (mittauspiste). \n \n3. Central Finland. \n \n4. | 70 | number (mittauspiste). \n \n3. Central Finland. \n \n4. | ||
71 | LiDAR-data.", | 71 | LiDAR-data.", | ||
n | 72 | "num_resources": 0, | n | 72 | "num_resources": 1, |
73 | "num_tags": 2, | 73 | "num_tags": 2, | ||
74 | "organization": { | 74 | "organization": { | ||
75 | "approval_status": "approved", | 75 | "approval_status": "approved", | ||
76 | "created": "2020-12-24T09:12:18.486073", | 76 | "created": "2020-12-24T09:12:18.486073", | ||
77 | "description": "EU\u2019s ambitions to become the world\u2019s | 77 | "description": "EU\u2019s ambitions to become the world\u2019s | ||
78 | first carbon-neutral region by 2050 will require a switch from an | 78 | first carbon-neutral region by 2050 will require a switch from an | ||
79 | economy dependent on fossil raw-materials to a bioeconomy, harnessing | 79 | economy dependent on fossil raw-materials to a bioeconomy, harnessing | ||
80 | the production and processing of renewable raw materials. Keeping | 80 | the production and processing of renewable raw materials. Keeping | ||
81 | non-organic materials in the production loop, displacing non- | 81 | non-organic materials in the production loop, displacing non- | ||
82 | renewable materials and more effective utilization of organic | 82 | renewable materials and more effective utilization of organic | ||
83 | resources avoids negative environmental impact.", | 83 | resources avoids negative environmental impact.", | ||
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85 | "image_url": "2021-10-21-123558.684909bioeconomy.jpg", | 85 | "image_url": "2021-10-21-123558.684909bioeconomy.jpg", | ||
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88 | "state": "active", | 88 | "state": "active", | ||
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90 | "type": "organization" | 90 | "type": "organization" | ||
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97 | { | ||||
98 | "cache_last_updated": null, | ||||
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110 | "name": "LiDAR-derived forest structure data and predictions of | ||||
111 | the locations of old-growth forests for Central Finland", | ||||
112 | "package_id": "3f0e87b9-97f1-44fd-9543-e8432c383a4f", | ||||
113 | "position": 0, | ||||
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116 | "state": "active", | ||||
117 | "url": "https://zenodo.org/record/163765#.Ye6rBIQzY5l", | ||||
118 | "url_type": null | ||||
119 | } | ||||
120 | ], | ||||
97 | "state": "active", | 121 | "state": "active", | ||
98 | "tags": [ | 122 | "tags": [ | ||
99 | { | 123 | { | ||
100 | "display_name": "Biodiversity", | 124 | "display_name": "Biodiversity", | ||
101 | "id": "275ff28d-f8bf-4da6-8d3a-97ebf29a7d88", | 125 | "id": "275ff28d-f8bf-4da6-8d3a-97ebf29a7d88", | ||
102 | "name": "Biodiversity", | 126 | "name": "Biodiversity", | ||
103 | "state": "active", | 127 | "state": "active", | ||
104 | "vocabulary_id": null | 128 | "vocabulary_id": null | ||
105 | }, | 129 | }, | ||
106 | { | 130 | { | ||
107 | "display_name": "Forest", | 131 | "display_name": "Forest", | ||
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109 | "name": "Forest", | 133 | "name": "Forest", | ||
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111 | "vocabulary_id": null | 135 | "vocabulary_id": null | ||
112 | } | 136 | } | ||
113 | ], | 137 | ], | ||
114 | "title": "LiDAR-derived forest structure data and predictions", | 138 | "title": "LiDAR-derived forest structure data and predictions", | ||
115 | "type": "dataset", | 139 | "type": "dataset", | ||
116 | "url": "https://zenodo.org/record/163765#.YWAcBuxxc2w", | 140 | "url": "https://zenodo.org/record/163765#.YWAcBuxxc2w", | ||
117 | "version": null | 141 | "version": null | ||
118 | } | 142 | } |