Changes
On August 9, 2021 at 11:28:26 AM UTC, Heiko Figgemeier:
-
Changed title to GAEZv3.0 Global Agro-ecological Zones (previously Global Agro-ecological Zones v3.0 (GAEZ v.3))
-
Changed value of field
is_part_of
to in GAEZv3.0 Global Agro-ecological Zones
f | 1 | { | f | 1 | { |
2 | "author": null, | 2 | "author": null, | ||
3 | "author_email": null, | 3 | "author_email": null, | ||
4 | "conforms_to": "http://www.opengis.net/def/crs/EPSG/0/4326", | 4 | "conforms_to": "http://www.opengis.net/def/crs/EPSG/0/4326", | ||
5 | "contact_name": "Food and Agriculture Organization of the United | 5 | "contact_name": "Food and Agriculture Organization of the United | ||
6 | Nations (FAO)", | 6 | Nations (FAO)", | ||
7 | "creator_user_id": "f96ad893-f291-40eb-b0f3-5bef533dcc1e", | 7 | "creator_user_id": "f96ad893-f291-40eb-b0f3-5bef533dcc1e", | ||
8 | "documentation": | 8 | "documentation": | ||
9 | .iiasa.ac.at/Research/LUC/GAEZv3.0/docs/GAEZ_Model_Documentation.pdf", | 9 | .iiasa.ac.at/Research/LUC/GAEZv3.0/docs/GAEZ_Model_Documentation.pdf", | ||
10 | "groups": [], | 10 | "groups": [], | ||
11 | "id": "26d153ba-70d4-4c4a-a1a9-988a9086a370", | 11 | "id": "26d153ba-70d4-4c4a-a1a9-988a9086a370", | ||
n | 12 | "is_part_of": | n | 12 | "is_part_of": "", |
13 | r-dmp.geo.tu-dresden.de/dataset/b0e5c26c-7762-4f99-8234-b793ce13d19c", | ||||
14 | "is_version_of": "", | 13 | "is_version_of": "", | ||
15 | "isopen": false, | 14 | "isopen": false, | ||
16 | "license_id": "", | 15 | "license_id": "", | ||
17 | "license_title": "", | 16 | "license_title": "", | ||
18 | "maintainer": null, | 17 | "maintainer": null, | ||
19 | "maintainer_email": null, | 18 | "maintainer_email": null, | ||
20 | "metadata_created": "2021-04-30T13:59:40.610111", | 19 | "metadata_created": "2021-04-30T13:59:40.610111", | ||
n | 21 | "metadata_modified": "2021-07-27T16:00:35.341388", | n | 20 | "metadata_modified": "2021-08-09T11:28:25.964574", |
22 | "name": "potyield", | 21 | "name": "potyield", | ||
23 | "notes": "Agro-climatic yield\r\nrelated publication: | 22 | "notes": "Agro-climatic yield\r\nrelated publication: | ||
24 | sa.ac.at/Research/LUC/GAEZv3.0/docs/GAEZ_Model_Documentation.pdf\r\n", | 23 | sa.ac.at/Research/LUC/GAEZv3.0/docs/GAEZ_Model_Documentation.pdf\r\n", | ||
25 | "num_resources": 0, | 24 | "num_resources": 0, | ||
26 | "num_tags": 2, | 25 | "num_tags": 2, | ||
27 | "organization": { | 26 | "organization": { | ||
28 | "approval_status": "approved", | 27 | "approval_status": "approved", | ||
29 | "created": "2021-01-08T11:55:37.205088", | 28 | "created": "2021-01-08T11:55:37.205088", | ||
30 | "description": "", | 29 | "description": "", | ||
31 | "id": "594a3901-9ffa-4e91-b828-84f89554ab4c", | 30 | "id": "594a3901-9ffa-4e91-b828-84f89554ab4c", | ||
32 | "image_url": | 31 | "image_url": | ||
33 | "https://tu-dresden.de/++theme++tud.theme.webcms2/img/tud-logo.svg", | 32 | "https://tu-dresden.de/++theme++tud.theme.webcms2/img/tud-logo.svg", | ||
34 | "is_organization": true, | 33 | "is_organization": true, | ||
35 | "name": "tud", | 34 | "name": "tud", | ||
36 | "state": "active", | 35 | "state": "active", | ||
37 | "title": "TUD", | 36 | "title": "TUD", | ||
38 | "type": "organization" | 37 | "type": "organization" | ||
39 | }, | 38 | }, | ||
40 | "owner_org": "594a3901-9ffa-4e91-b828-84f89554ab4c", | 39 | "owner_org": "594a3901-9ffa-4e91-b828-84f89554ab4c", | ||
41 | "private": false, | 40 | "private": false, | ||
42 | "quality_metrics": | 41 | "quality_metrics": | ||
43 | ompletenessOmmissionAsNumberOfMissingItems\":{\"label\":\"Completeness | 42 | ompletenessOmmissionAsNumberOfMissingItems\":{\"label\":\"Completeness | ||
44 | Ommission as Number of Missing Items\",\"values\":{\"value of quality | 43 | Ommission as Number of Missing Items\",\"values\":{\"value of quality | ||
45 | metric\":\"8713437\",\"ground truth dataset\":\"\",\"confidence | 44 | metric\":\"8713437\",\"ground truth dataset\":\"\",\"confidence | ||
46 | term\":\"\",\"confidence value\":\"\",\"thematic | 45 | term\":\"\",\"confidence value\":\"\",\"thematic | ||
47 | representativity\":\"\",\"spatial | 46 | representativity\":\"\",\"spatial | ||
48 | representativity\":\"global\",\"temporal | 47 | representativity\":\"global\",\"temporal | ||
49 | representativity\":\"\",\"name of quality | 48 | representativity\":\"\",\"name of quality | ||
50 | source\":\"MetadataFromGeodata Extraction Tool\",\"type of quality | 49 | source\":\"MetadataFromGeodata Extraction Tool\",\"type of quality | ||
51 | source\":\"software\",\"link to quality | 50 | source\":\"software\",\"link to quality | ||
52 | #completenessOmmissionAsRateOfMissingItems\":{\"label\":\"Completeness | 51 | #completenessOmmissionAsRateOfMissingItems\":{\"label\":\"Completeness | ||
53 | Ommission as Rate of Missing Items\",\"values\":{\"value of quality | 52 | Ommission as Rate of Missing Items\",\"values\":{\"value of quality | ||
54 | metric\":\"96.8074\",\"ground truth dataset\":\"\",\"confidence | 53 | metric\":\"96.8074\",\"ground truth dataset\":\"\",\"confidence | ||
55 | term\":\"\",\"confidence value\":\"\",\"thematic | 54 | term\":\"\",\"confidence value\":\"\",\"thematic | ||
56 | representativity\":\"\",\"spatial | 55 | representativity\":\"\",\"spatial | ||
57 | representativity\":\"global\",\"temporal | 56 | representativity\":\"global\",\"temporal | ||
58 | representativity\":\"\",\"name of quality | 57 | representativity\":\"\",\"name of quality | ||
59 | source\":\"MetadataFromGeodata Extraction Tool\",\"type of quality | 58 | source\":\"MetadataFromGeodata Extraction Tool\",\"type of quality | ||
60 | source\":\"software\",\"link to quality | 59 | source\":\"software\",\"link to quality | ||
61 | ributeValueUncertainityAt99SignificanceLevel\":{\"label\":\"Quantitive | 60 | ributeValueUncertainityAt99SignificanceLevel\":{\"label\":\"Quantitive | ||
62 | Attribute Accuracy as Attribute Value Uncertainity at 99% Significance | 61 | Attribute Accuracy as Attribute Value Uncertainity at 99% Significance | ||
63 | Level\",\"values\":{\"value of quality metric\":\"0.75\",\"ground | 62 | Level\",\"values\":{\"value of quality metric\":\"0.75\",\"ground | ||
64 | truth dataset\":\"\",\"confidence term\":\"\",\"confidence | 63 | truth dataset\":\"\",\"confidence term\":\"\",\"confidence | ||
65 | value\":\"\",\"thematic representativity\":\"\",\"spatial | 64 | value\":\"\",\"thematic representativity\":\"\",\"spatial | ||
66 | representativity\":\"global\",\"temporal | 65 | representativity\":\"global\",\"temporal | ||
67 | representativity\":\"\",\"name of quality source\":\"Spatio-Temporal | 66 | representativity\":\"\",\"name of quality source\":\"Spatio-Temporal | ||
68 | Dynamics of Maize Potential Yield and Yield Gaps in Northeast China | 67 | Dynamics of Maize Potential Yield and Yield Gaps in Northeast China | ||
69 | from 1990 to 2015\",\"type of quality source\":\"publication\",\"link | 68 | from 1990 to 2015\",\"type of quality source\":\"publication\",\"link | ||
70 | to quality | 69 | to quality | ||
71 | nsistencyAsValuePhysicalStructureConflictsNumber\":{\"label\":\"Format | 70 | nsistencyAsValuePhysicalStructureConflictsNumber\":{\"label\":\"Format | ||
72 | Consistency as Value Physical Structure Conflicts | 71 | Consistency as Value Physical Structure Conflicts | ||
73 | Number\",\"values\":{\"value of quality metric\":\"true\",\"ground | 72 | Number\",\"values\":{\"value of quality metric\":\"true\",\"ground | ||
74 | truth dataset\":\"\",\"confidence term\":\"\",\"confidence | 73 | truth dataset\":\"\",\"confidence term\":\"\",\"confidence | ||
75 | value\":\"\",\"thematic representativity\":\"\",\"spatial | 74 | value\":\"\",\"thematic representativity\":\"\",\"spatial | ||
76 | representativity\":\"\",\"temporal representativity\":\"\",\"name of | 75 | representativity\":\"\",\"temporal representativity\":\"\",\"name of | ||
77 | quality source\":\"MetadataFromGeodata Extraction Tool\",\"type of | 76 | quality source\":\"MetadataFromGeodata Extraction Tool\",\"type of | ||
78 | quality source\":\"software\",\"link to quality | 77 | quality source\":\"software\",\"link to quality | ||
79 | es/quality-elements#temporalConsistencyAsValue\":{\"label\":\"Temporal | 78 | es/quality-elements#temporalConsistencyAsValue\":{\"label\":\"Temporal | ||
80 | Consistency as Value\",\"values\":{\"value of quality | 79 | Consistency as Value\",\"values\":{\"value of quality | ||
81 | metric\":\"false\",\"ground truth dataset\":\"\",\"confidence | 80 | metric\":\"false\",\"ground truth dataset\":\"\",\"confidence | ||
82 | term\":\"\",\"confidence value\":\"\",\"thematic | 81 | term\":\"\",\"confidence value\":\"\",\"thematic | ||
83 | representativity\":\"\",\"spatial representativity\":\"\",\"temporal | 82 | representativity\":\"\",\"spatial representativity\":\"\",\"temporal | ||
84 | representativity\":\"\",\"name of quality source\":\"\",\"type of | 83 | representativity\":\"\",\"name of quality source\":\"\",\"type of | ||
85 | quality source\":\"manual analysis\",\"link to quality | 84 | quality source\":\"manual analysis\",\"link to quality | ||
86 | source\":\"\"}}}", | 85 | source\":\"\"}}}", | ||
87 | "relationships_as_object": [], | 86 | "relationships_as_object": [], | ||
88 | "relationships_as_subject": [], | 87 | "relationships_as_subject": [], | ||
89 | "resources": [], | 88 | "resources": [], | ||
90 | "spatial": | 89 | "spatial": | ||
91 | 7],[188.4375,-85.05112877980659],[-170.15625,-85.05112877980659]]]]}", | 90 | 7],[188.4375,-85.05112877980659],[-170.15625,-85.05112877980659]]]]}", | ||
92 | "spatial_resolution": "0.08333", | 91 | "spatial_resolution": "0.08333", | ||
93 | "spatial_resolution_type": "angular", | 92 | "spatial_resolution_type": "angular", | ||
94 | "state": "active", | 93 | "state": "active", | ||
95 | "tags": [ | 94 | "tags": [ | ||
96 | { | 95 | { | ||
97 | "display_name": "Agriculture", | 96 | "display_name": "Agriculture", | ||
98 | "id": "089ec053-0d26-4c21-becd-40b02c26f0c0", | 97 | "id": "089ec053-0d26-4c21-becd-40b02c26f0c0", | ||
99 | "name": "Agriculture", | 98 | "name": "Agriculture", | ||
100 | "state": "active", | 99 | "state": "active", | ||
101 | "vocabulary_id": null | 100 | "vocabulary_id": null | ||
102 | }, | 101 | }, | ||
103 | { | 102 | { | ||
104 | "display_name": "Ecology", | 103 | "display_name": "Ecology", | ||
105 | "id": "eeca70af-a1af-4503-a8f0-c0cba6abd056", | 104 | "id": "eeca70af-a1af-4503-a8f0-c0cba6abd056", | ||
106 | "name": "Ecology", | 105 | "name": "Ecology", | ||
107 | "state": "active", | 106 | "state": "active", | ||
108 | "vocabulary_id": null | 107 | "vocabulary_id": null | ||
109 | } | 108 | } | ||
110 | ], | 109 | ], | ||
111 | "temporal_end": "2000-01-01", | 110 | "temporal_end": "2000-01-01", | ||
112 | "temporal_resolution": "", | 111 | "temporal_resolution": "", | ||
113 | "temporal_start": "1961-01-01", | 112 | "temporal_start": "1961-01-01", | ||
114 | "theme": "https://inspire.ec.europa.eu/theme/af", | 113 | "theme": "https://inspire.ec.europa.eu/theme/af", | ||
t | 115 | "title": "Global Agro-ecological Zones v3.0 (GAEZ v.3)", | t | 114 | "title": "GAEZv3.0 Global Agro-ecological Zones", |
116 | "type": "dataset", | 115 | "type": "dataset", | ||
117 | "url": "https://webarchive.iiasa.ac.at/Research/LUC/GAEZv3.0/", | 116 | "url": "https://webarchive.iiasa.ac.at/Research/LUC/GAEZv3.0/", | ||
118 | "version": null, | 117 | "version": null, | ||
119 | "was_derived_from": "" | 118 | "was_derived_from": "" | ||
120 | } | 119 | } |