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f | 1 | { | f | 1 | { |
2 | "author": "Aellig, Raffael", | 2 | "author": "Aellig, Raffael", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.35097/1354", | 5 | "doi": "10.35097/1354", | ||
6 | "doi_date_published": "2023", | 6 | "doi_date_published": "2023", | ||
7 | "doi_publisher": "", | 7 | "doi_publisher": "", | ||
8 | "doi_status": "True", | 8 | "doi_status": "True", | ||
9 | "extra_authors": [ | 9 | "extra_authors": [ | ||
10 | { | 10 | { | ||
11 | "extra_author": "Moron, Vincent", | 11 | "extra_author": "Moron, Vincent", | ||
12 | "orcid": "" | 12 | "orcid": "" | ||
13 | }, | 13 | }, | ||
14 | { | 14 | { | ||
15 | "extra_author": "Camberlin, Pierre", | 15 | "extra_author": "Camberlin, Pierre", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | } | 17 | } | ||
18 | ], | 18 | ], | ||
19 | "groups": [], | 19 | "groups": [], | ||
20 | "id": "ecf0371c-4f71-4101-aef5-a6af69360a5e", | 20 | "id": "ecf0371c-4f71-4101-aef5-a6af69360a5e", | ||
21 | "isopen": false, | 21 | "isopen": false, | ||
22 | "license_id": "CC BY 4.0 Attribution", | 22 | "license_id": "CC BY 4.0 Attribution", | ||
23 | "license_title": "CC BY 4.0 Attribution", | 23 | "license_title": "CC BY 4.0 Attribution", | ||
24 | "metadata_created": "2023-08-04T08:50:36.053497", | 24 | "metadata_created": "2023-08-04T08:50:36.053497", | ||
t | 25 | "metadata_modified": "2023-08-04T08:50:36.053504", | t | 25 | "metadata_modified": "2023-08-04T08:51:58.871618", |
26 | "name": "rdr-doi-10-35097-1354", | 26 | "name": "rdr-doi-10-35097-1354", | ||
27 | "notes": "Abstract: Der Datensatz beinhaltet den Wolkentyp und die | 27 | "notes": "Abstract: Der Datensatz beinhaltet den Wolkentyp und die | ||
28 | Wolkenbedeckung von synoptischen Wetteraufzeichnungen an 85 | 28 | Wolkenbedeckung von synoptischen Wetteraufzeichnungen an 85 | ||
29 | verschiedenen Stationen im westlichen Zentralafrika. Einerseits | 29 | verschiedenen Stationen im westlichen Zentralafrika. Einerseits | ||
30 | beinhaltet der Datensatz die originalen Werte wie auch homogenisierte | 30 | beinhaltet der Datensatz die originalen Werte wie auch homogenisierte | ||
31 | Werte.\r\nAbstract: The dataset includes the cloud type and cloud | 31 | Werte.\r\nAbstract: The dataset includes the cloud type and cloud | ||
32 | cover at 85 different stations in western Central Africa. On the one | 32 | cover at 85 different stations in western Central Africa. On the one | ||
33 | hand, the dataset contains the original values as well as homogenized | 33 | hand, the dataset contains the original values as well as homogenized | ||
34 | values.\r\nTechnicalRemarks: This dataset consists of cloud fraction | 34 | values.\r\nTechnicalRemarks: This dataset consists of cloud fraction | ||
35 | and cloud genus data from 85 stations in western Central Africa from | 35 | and cloud genus data from 85 stations in western Central Africa from | ||
36 | 1971-2019. The database is based on the following databases: Extended | 36 | 1971-2019. The database is based on the following databases: Extended | ||
37 | Edited Synoptic Cloud Reports Archive (EECRA), Integrated Surface | 37 | Edited Synoptic Cloud Reports Archive (EECRA), Integrated Surface | ||
38 | Dataset (ISD), Met Office Integrated Data Archive System (MIDAS), and | 38 | Dataset (ISD), Met Office Integrated Data Archive System (MIDAS), and | ||
39 | the African Monsoon Multidisciplinary Analysis (AMMA).\r\nThe dataset | 39 | the African Monsoon Multidisciplinary Analysis (AMMA).\r\nThe dataset | ||
40 | starts on 1st May 1971, covers 3 hourly the months May to October and | 40 | starts on 1st May 1971, covers 3 hourly the months May to October and | ||
41 | ends on 31st October 2019. The variables in the dataset cover the | 41 | ends on 31st October 2019. The variables in the dataset cover the | ||
42 | cloud fraction, cloud type, homogenized cloud fraction, and a flag for | 42 | cloud fraction, cloud type, homogenized cloud fraction, and a flag for | ||
43 | the variables where its origin is. The homogenization of the dataset | 43 | the variables where its origin is. The homogenization of the dataset | ||
44 | is discribed in Moron et al. (2022, submitted) and in the meta data | 44 | is discribed in Moron et al. (2022, submitted) and in the meta data | ||
45 | discreption of the NetCDF file.", | 45 | discreption of the NetCDF file.", | ||
46 | "num_resources": 0, | 46 | "num_resources": 0, | ||
47 | "num_tags": 4, | 47 | "num_tags": 4, | ||
48 | "orcid": "0000-0002-9032-8645", | 48 | "orcid": "0000-0002-9032-8645", | ||
49 | "organization": { | 49 | "organization": { | ||
50 | "approval_status": "approved", | 50 | "approval_status": "approved", | ||
51 | "created": "2023-01-12T13:30:23.238233", | 51 | "created": "2023-01-12T13:30:23.238233", | ||
52 | "description": "RADAR (Research Data Repository) is a | 52 | "description": "RADAR (Research Data Repository) is a | ||
53 | cross-disciplinary repository for archiving and publishing research | 53 | cross-disciplinary repository for archiving and publishing research | ||
54 | data from completed scientific studies and projects. The focus is on | 54 | data from completed scientific studies and projects. The focus is on | ||
55 | research data from subjects that do not yet have their own | 55 | research data from subjects that do not yet have their own | ||
56 | discipline-specific infrastructures for research data management. ", | 56 | discipline-specific infrastructures for research data management. ", | ||
57 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 57 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
58 | "image_url": "radar-logo.svg", | 58 | "image_url": "radar-logo.svg", | ||
59 | "is_organization": true, | 59 | "is_organization": true, | ||
60 | "name": "radar", | 60 | "name": "radar", | ||
61 | "state": "active", | 61 | "state": "active", | ||
62 | "title": "RADAR", | 62 | "title": "RADAR", | ||
63 | "type": "organization" | 63 | "type": "organization" | ||
64 | }, | 64 | }, | ||
65 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 65 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
66 | "private": false, | 66 | "private": false, | ||
67 | "production_year": "2022", | 67 | "production_year": "2022", | ||
68 | "publication_year": "2023", | 68 | "publication_year": "2023", | ||
69 | "publishers": [ | 69 | "publishers": [ | ||
70 | { | 70 | { | ||
71 | "publisher": "Karlsruhe Institute of Technology" | 71 | "publisher": "Karlsruhe Institute of Technology" | ||
72 | } | 72 | } | ||
73 | ], | 73 | ], | ||
74 | "relationships_as_object": [], | 74 | "relationships_as_object": [], | ||
75 | "relationships_as_subject": [], | 75 | "relationships_as_subject": [], | ||
76 | "repository_name": "RADAR (Research Data Repository)", | 76 | "repository_name": "RADAR (Research Data Repository)", | ||
77 | "resources": [], | 77 | "resources": [], | ||
78 | "services_used_list": "", | 78 | "services_used_list": "", | ||
79 | "source_metadata_created": "2023", | 79 | "source_metadata_created": "2023", | ||
80 | "source_metadata_modified": "", | 80 | "source_metadata_modified": "", | ||
81 | "state": "active", | 81 | "state": "active", | ||
82 | "subject_areas": [ | 82 | "subject_areas": [ | ||
83 | { | 83 | { | ||
84 | "subject_area_additional": "", | 84 | "subject_area_additional": "", | ||
85 | "subject_area_name": "Geological Science" | 85 | "subject_area_name": "Geological Science" | ||
86 | } | 86 | } | ||
87 | ], | 87 | ], | ||
88 | "tags": [ | 88 | "tags": [ | ||
89 | { | 89 | { | ||
90 | "display_name": "climate data", | 90 | "display_name": "climate data", | ||
91 | "id": "621e2627-e15f-4ba2-9873-3c951c65309e", | 91 | "id": "621e2627-e15f-4ba2-9873-3c951c65309e", | ||
92 | "name": "climate data", | 92 | "name": "climate data", | ||
93 | "state": "active", | 93 | "state": "active", | ||
94 | "vocabulary_id": null | 94 | "vocabulary_id": null | ||
95 | }, | 95 | }, | ||
96 | { | 96 | { | ||
97 | "display_name": "cloud cover", | 97 | "display_name": "cloud cover", | ||
98 | "id": "f641c025-6c87-4159-b55c-b36222974678", | 98 | "id": "f641c025-6c87-4159-b55c-b36222974678", | ||
99 | "name": "cloud cover", | 99 | "name": "cloud cover", | ||
100 | "state": "active", | 100 | "state": "active", | ||
101 | "vocabulary_id": null | 101 | "vocabulary_id": null | ||
102 | }, | 102 | }, | ||
103 | { | 103 | { | ||
104 | "display_name": "cloud genus", | 104 | "display_name": "cloud genus", | ||
105 | "id": "85879d95-132a-4839-a739-0251de8b6bf0", | 105 | "id": "85879d95-132a-4839-a739-0251de8b6bf0", | ||
106 | "name": "cloud genus", | 106 | "name": "cloud genus", | ||
107 | "state": "active", | 107 | "state": "active", | ||
108 | "vocabulary_id": null | 108 | "vocabulary_id": null | ||
109 | }, | 109 | }, | ||
110 | { | 110 | { | ||
111 | "display_name": "cloud type", | 111 | "display_name": "cloud type", | ||
112 | "id": "5b331f4d-8ee9-4bcf-9ca5-c5f1e8985703", | 112 | "id": "5b331f4d-8ee9-4bcf-9ca5-c5f1e8985703", | ||
113 | "name": "cloud type", | 113 | "name": "cloud type", | ||
114 | "state": "active", | 114 | "state": "active", | ||
115 | "vocabulary_id": null | 115 | "vocabulary_id": null | ||
116 | } | 116 | } | ||
117 | ], | 117 | ], | ||
118 | "title": "Cloud observing data of 85 stations in western central | 118 | "title": "Cloud observing data of 85 stations in western central | ||
119 | africa", | 119 | africa", | ||
120 | "type": "vdataset", | 120 | "type": "vdataset", | ||
121 | "url": "https://doi.org/10.35097/1354" | 121 | "url": "https://doi.org/10.35097/1354" | ||
122 | } | 122 | } |